Logistics and Supply-Chain Management
Transcription
Logistics and Supply-Chain Management
185 TOPIC: Logistics and Supply-Chain Management The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 186 The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 Applying System Dynamics Approach to the Fast Fashion Supply Chain: Case Study of an SME in Indonesia Mariany W. Lidia1,2,*, Takeshi Arai1, Aya Ishigaki1, Gatot Yudoko2 1 Department of Industrial Administration (IA) - Tokyo University of Science (TUS), 1-3 Kagurazaka, Shinjyuku-ku, Tokyo 162-8601, Japan 2 School of Business and Management (SBM) - Institut Teknologi Bandung (ITB), Jl. Ganesha 10 (Gedung SBM-ITB), Bandung 40132, Indonesia Abstract. The fashion industry is the biggest contributor among the 14 creative industries in Indonesia. Its industrial contribution to the Gross Domestic Product was 7.74 percent on average recently. In addition the industry has grown rapidly as evidenced by the proliferation of boutiques and factory outlets. Nowadays many apparel companies are shifting toward the vertical integration and accordingly their production processes range from raw material to ready-to-wear clothes. Fast fashion is a concept whereby retailers orientate their business strategies to reduce the time taken to get fashion product into store, working on a system of in-season buying so product ranges are consistently updated throughout the season (Barnes et al., 2009). Since speed is everything to be successful in the apparel industry, fast fashion retailers must quickly respond to the market demand. Defining the target market is essential to running a successful fashion business and without taking the time to define it, a company is likely to waste precious time and money by marketing to the wrong customers, namely by trying to communicate to those who are not interested in its products. Supply chain activities transform natural resources, raw materials and components into a finished product that is delivered to the end customer. Therefore, supply chain management has important roles of coordinating processes along the supply chain in order to reduce the time taken to deliver finished goods to meet consumer demand (Christopher et al., 2004). One of the toughest challenges those SME face is the learning about how to manage their financial performance without expense of redundant costs for attaining high profit. Defining the target market and planning the optimum supply chain are the critical issues to fast fashion company, and therefore this research aims to develop a model of the supply chain of an SME apparel company in Indonesia and to propose a decision support system which applies System Dynamics (SD) and helps the management to identify the best business strategy. SD facilitates the formalization and visualization of the customer behavior by structuring the decision making process and by linking that, afterwards, to the financial variables. Understanding customer behavior, the marketing investment alternatives can be leveraged using financial suitable metrics. Simulated scenarios can help the management to identify the most appropriate policy to be applied in the future. Also, case study method was used in this research. Data were collected from a typical fast fashion firm in Indonesia that produces its own wares ranging from raw materials to be ready-to-wear clothes, has three stores, a warehouse and is running online sales system. We analyses the result of many simulations in a fashion company from an operational point of view and from them we derive suggestions about the future business strategy in a small and medium fashion company in Indonesia. Keywords: System dynamics, fast fashion, supply chain management, SME, Indonesia * Corresponding author. Tel.: +81-090-6000-9610 E-mail address: [email protected] 188 M.W. Lidia, T. Arai, A. Ishigaki, and G. Yudoko – Applying System Dynamics Approach ... 1. Introduction During this time, Indonesia was only became a home for original equipment manufacturer (OEM) for branded products from another countries such as Zara, Gap, Esprit, Uniqlo and so on. Fashion industry in Indonesia basically has the potential evolved essentially very well. Since Indonesia has potential of natural and human resources, it could produce qualified products fashion. Ironically, none of the original Indonesia brand garments are sold in Factory Outlets (FO). Therefore the domestic apparel firms must quickly improve themselves to face this challenge. Learn from the fast fashion industries that has been successful can be a reference and basis for improvisation. Their success is no incident. The typical fast fashion brands gain their success is strong supply chain management, scarce value creation, low costs on promotions and flexible brand positioning strategy (Zhenxiang and Lijie, 2011). One thing that cannot be denied is the fashion world is highly perishable, influenced by the latest thing seen on the catwalk or on the back of a celebrity. Firms should improving quality, creating unique design, and also applying a proper supply chain to their business strategy. Fig. 1: Domestic products position in Indonesia Fast fashion is a contemporarily term used by fashion retailers to acknowledge that designs move from catwalk to the store in the fastest time to capture current trends in the market (Zhenxiang and Lijie, 2011). Fast fashion has developed from a product-driven concept based on a manufacturing model referred to as “quick response”, it also represent about creating new, fresh product while also drawing consumers back to the retail experience for consecutive visits. Quick Response (QR) was a phrase coined in 1985 by Alan Hunter and moved to a market based model of “fast fashion” in the late 1990s and first part of the 21st century (Hines & Bruce, 2007). Fast fashion is a term refers to affordable basics and disposable trends. It also used to describe the production of clothing collections based on the most recent fashion trends (Dillon, 2012). Fast fashion is a concept whereby retailers orientate their business strategies to reduce the time taken to get fashion product into store, working on a system of in-season buying so product ranges are consistently updated throughout the season (Barnes, et al., 2009). This type of fashion is considered seasonal, mostly trend-focused and mass produced. Zara is the first word that comes to mind when we thinking about fast fashion. The company’s history began with a small shop in La Coruna back in 1975, and turned into a global retailer today expanding in tremendous pace. There are several advantages relating to fast fashion. Firstly, consumers perceive that ranges in the shops are changing more regularly. This makes consumers want to visit the stores on more frequent basis, and that speed of refreshing the ranges is very important (Barry, 2004). Today many of the apparel industries shift towards vertical integration starting do full supply chain flows such as starting from selecting raw materials, dyeing, designing, cutting pattern, sewing, packing and sell to allotted retail shop and ended to the customers. This to meets the dynamic world mainly due to the growing complexity such as demand uncertainty and also trends changing every four to six weeks. Supply chain is crucial issue to integrate from initial design stage through the early raw material and cash flow also information flow between customer and manufacturer (Hines, 2007). It consists of a series of activities that an organization uses to deliver value, either in the form of a product, service, or a combination of both, to its customers (Samaranayake, 2005). Due to the improve responsiveness of supply chain in the fast fashion the concept of supply chain can be The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 M.W. Lidia, T. Arai, A. Ishigaki, and G. Yudoko – Applying System Dynamics Approach ... 189 concluded to such as just-in-time (Bruce, et al., 2004), agile supply chain (Christopher et al., 2004; Bruce, et al., 2004) and quick response strategy (Patil, et al., 2010). Supply chain strategies are either based on reducing cost and improving efficiencies and focus on doing things differently to become more effective in serving the customer and creating added value. In other words, not only efficiency goals can be pursued by supply chain management but also the impact can be seen on such product quality, product availability, customization delivery lead time (Brun & Castelli, 2008). 2. The SD Approach In this study, we considered a system dynamics (SD) model to be appropriate research tools. The purpose use SD is to improving the understanding and identification of the causal relationship in the system. SD was introduced by Jay Forrester in his book, Industrial Dynamics in the early 1960s. In several areas of management research, computer simulators based on SD model are used as a means to explore the subjects’ understanding and behaviour in complex situation. SD is a methodology for studying and managing complex feedback system, such as one finds in business and other social systems. In fact it has been used to address practically every sort of feedback system, problem solving and policy design. The purpose of SD modeling is to improve our understanding of the ways in which an organization’s performance is related to its internal structure and operating policies and then to use that understanding to design high leverage policies for success (Sterman, 2000). John D. Sterman defines SD as follows: “System dynamics is a perspective and set of conceptual tools that enable us to understand the structure and dynamics of complex system. System dynamics is also a rigorous modeling method that enables us to build formal computer simulations of complex system and use them to design more effective policies and organizations.” 3. The Case Study The application of the proposed system is illustrated and verified through a case study. A brief description of the case company and data is given, and the proposed model is then estimated and evaluated. The case company is a typical fast fashion firm in Bandung, Indonesia that produces its own wares ranging from raw material to be ready-to-wear clothes, has three stores, a warehouse and running online sales system. This company is the founder of boudist or boutique distro community. Boutique represents the meaning of fashion for female and distro symbolize the “do it yourself” community. This company started since early 2004, has tag line for their product “Hot new and limited product everyday”. The target markets of this company were women in range age are 15-30 years. This company had opened branches in Jakarta and Surabaya, but closed at the end of 2010. The company possesses data on production processes, price of product, sales, marketing strategy, product characteristic, and the number of worker in each section. Due to confidentiality, all of the actual data are concealed. 3.1. Customer as demand perspective Fig. 2: From enhancing customer buying product The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 190 M.W. Lidia, T. Arai, A. Ishigaki, and G. Yudoko – Applying System Dynamics Approach ... Since Bandung is destination of tourist visitor, many of visitors came and go to Bandung. So in potential customer point of view, visitor and population of Bandung have great effect to demand increment. Some of them will shopping in the store (Buying Product) and remain of them will shopping on the street or another stores. The number of customers who buy product can be considered as sales. These numbers can be used by companies to estimate demand. The ability to buy product is also determined by income per capita of population. Customers derived from frequent customer and new customer. Intentions to buy are also influenced by intensify the advertising and promotion undertaken by company. And also product attractiveness would be able to attract customers to come to the store. The frequent customer will contribute to WOM effect. After bought product they will tell to their friends about their impression or when they wear the product, their acquaintance will see and asking where they buy the product. 3.2. Product attractiveness Product attractiveness (in terms of design, quality, product availability, and assortment) is the main stimulus influencing customers to buy product (Brun & Castelli, 2008; Chan, 2011; Rajaram, 2001; Vaagen & Wallace, 2008). A recent study recognizes the importance of assortment rotation in a competitive setting (Caro, et al., 2009). For any retailer with variety-seeking customers, some degree of assortment rotation is desirable, and it pays off significantly to develop capabilities that allow variety to be managed efficiently. And it needn’t just be trendy items that rotate frequently, as happens with Zara and H&M. This also shows the importance of the change itself, rather than specific type of product being replaced. The price factors also contribute to product attractiveness. It is difficult to say which component of pricing is more important than another. Prices also level where the consumer perceives the price to be fair with value. When customers come in and find out what makes them look younger, thinner, and sexier, they are not as apt to look at the price tag. They know that no matter what the cost, they’ve found their own best value (Flynn and Foster, 2009). Fig. 3: From enhancing product attractiveness 3.3. Improving innovation and production Labor is one of vital input for overall production process. Skilled labor will produce high productivity thus merchandise produced have high quality and quantity of production increased. Based on interviews the most difficult part to do is in making pattern (Cutting) and sewing the accordance the pattern. Excessively defective goods produced in the production process. This can be reduced if the company enhancing labor quality (the skill of worker). The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 M.W. Lidia, T. Arai, A. Ishigaki, and G. Yudoko – Applying System Dynamics Approach ... 191 Fig. 4: From enhancing production lead time 3.4. Total cost Total cost is the total cost to run a business, such as raw material costs, fixed costs (building and machines), employee salaries, advertising costs, production costs and training costs. Inflated production cost can also be caused by excessively defective goods. The company should manage the expenses due to the purpose of an organization running a business is to gain optimal wealth. To optimal profit, the company must optimize the operational cost. Any inefficient costs should be eliminated. For example for advertising the company could use the social media to promote their products, make promotion, announcement, and create an events. Total cost can be used as the foundation for management to determine the revenue targets and from this revenue target can specify how many sales targets are to be obtained. Fig. 5: From total cost The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 192 M.W. Lidia, T. Arai, A. Ishigaki, and G. Yudoko – Applying System Dynamics Approach ... 3.5. Causal relationship The purpose of an organization is to create more wealth for its owners. This is refers to how to create more profit. A financial measure involves some measurement of the overall profitability of the organization (McGarvey, et al., 2001). Based on the goal of an organization running a business, we will illustrate a causal relationship model that provides a framework for developing model to provide decision support to run the business strategies. We analyses the result of many simulations in a fashion company from an operational point of view and from them we derive suggestions about the future business strategy in a small and medium fashion company in Indonesia. This section presents an overview of the causal relationship variables. Red arrow lines indicate the flow of material, the blue lines shows the flow of information between the factors, and the green lines indicate the financial flows in the system. Fig. 6: Causal relationship general supply chain perspective 4. The SD model Based on causal relationship model, initial input parameters for the proposed model are shown in this table: Table 1: Parameters input in the proposed model Parameter Bandung population Target population Target rate Display Display level Display change Workers Definition Number of population in Bandung Number of target market age Number of percentage target market Number of cloths in the stores Number of new arrival item Number of rotation cloths display Number of operator assigned in production Unit People People Percentage Item Item /weeks People The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 M.W. Lidia, T. Arai, A. Ishigaki, and G. Yudoko – Applying System Dynamics Approach ... Price Total cost The price of product Cost of employee salaries 193 Rp Rp Fig. 7: System Dynamic model 5. Result and Discussion To gain more profit the company must keep frequent customer and increase new customer (sometimes customer) to purchase the merchandise. The product attractiveness such as affordable price, products variety, and also the quality greatly influence to a sometimes customer to be a frequent customer. Based on interview results can be deduced the purchasing power parity of target market for clothing purchases. Rely on this data; the company can set up the level of clothing prices. The second factor is service quality. Service qualities in this point are shop attractiveness and the staff attractiveness. The shop attractiveness supported by the product assortment, rotation of clothing in a display area, and how company define the amount of clothing with a new design for display at the new arrival area (display level). Within one month, the average customer to buy or windows shopping into store as much as 1-2 times. This is an indication of management in producing the new design and strategy product replacements in the store are very important. It is intended that customers will finding something new and fresh every time comes into the store. Despite these factor are met, but when the availability of goods (display) in the store are low or empty, this will make the customer go to another store and the store will lose the opportunity to gain sales. With sales increment it means the management has resources to open a new retail store. With the additional number of shop it will effect on shop level. The time taken to replenish store will be lead if the defect clothes decrease. The defect could be minimizing by increase the skill of worker. With the skilled worker the production processing time can be lead. Worker’s skills can be improved The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 194 M.W. Lidia, T. Arai, A. Ishigaki, and G. Yudoko – Applying System Dynamics Approach ... with training. The target training also can be defined by unskilled workers and skilled workers. Conduct training is not easy, because the company have to budgeted substantial funds such as the need to hire a professional. But these factors are trade off when the company want to preserve the value of long-term business (customer lifetime value). In recent years, many companies have focused on how to enter markets and meet customer requirements to boost their market share and profit and pretermit the customer loyalty and generate greater profits in the long term. These highlight the keys factors that ought to be considered in making policy decisions. 6. Conclusions and Future Research The proposed model focuses on the modelling generally fast fashion supply chain an SME in Indonesia. However this study has limitations that result applications of this study are only eligible to the same scale of fast fashion companies, and due to different situation in every country, the result of this study are only relevant if implemented in the same country. This study only considers the company’s point of views such as production process, marketing strategy, and human resources. We also state that for providing insight, we are not optimal defining the individual variables such as variety planning under uncertainty, assortment planning under shelf space constraints and consumer behaviour it could be extended in the future research. As conclusion, we believe this model provides a useful framework to understand and analyse several factor to make decision policies problem. Acknowledgements We would like to express our sincere gratitude to Mrs Sherly, Alifia Meta, and Agus who provided assistance and information during site visits and interviews. We would also like to thank the anonymous respondent for giving their opinion in the questionnaire. References [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] Akkermans, H. and Dellaert, N. (2005). “The Rediscovery of Industrial Dynamics: the Contribution of System Dynamics to Supply Chain Management in a Dynamic and Fragmented World”. System Dynamics Review, Vol. 21 No. 3, pp. 173-86. Brun, A. and Castelli, C. (2008). “Supply Chain Strategy in the Fashion Industry: Developing a Portfolio Model Depending on Product, Retail Channel and Brand”. International Journal Production Economics, Vol. 116, pp. 169181 Cagliano, A.C. and Rafele, C., DeMarco, A. (2011). “Using System Dynamic in Warehouse management: a fastfashion case study”. Journal of Manufacturing Technology Management, Vol. 22 Iss: 2, pp.171 – 188 Chan, S. L. and Ip, W. H. (2011). “A Dynamic Support System to Predict the Value of Customer for New Product Development”. Decision Support System, Vol. 52, pp. 178-188 Dillon, S. (2012). “The Fundamental of Fashion Management”, Switzerland: AVA Publishing SA Barnes, L. and Lea-Greenwood, G. (2009). “Fast Fashion in the Retail Store Environment”. International Journal of Retail & Distribution Management, Vol. 38 No. 10, 2010 pp. 760-772 Capelo, C. and Dias, J. F. (2009). “A System Dynamic-Based Simulation Experiment for Testing Mental Model and Performance Effects of Using the Balanced Scorecard”. System Dynamic Review, Vol. 25, No. 1, pp. 1-34 Caro, F. and Albéniz V. M. (2009). “The Effect Rotation on Consumer Choice and its Impact on Competition”. International Series in Operation Research & Management Science, Vol. 131, Part 1, pp. 63-79 Caro, F. (2005). “Dynamic Retail Assortment Models with Demand Learning for Seasonal Consumer Goods”. Working Paper, Massachusetts Institute of Technology Barry, N. (2004). “Fast Fashion”. European Retail Analyst Mintel Group Ltd, London Christopher, M., Lowson, R. and Peck, H. (2004). “Creating Agile Supply Chains in the Fashion Industry”. International Journal of Retail & Distribution Management, Vol. 32 No. 8,pp. 367-76 Flynn, J. Z. and Foster, I. M. (2009). “Research Methods for the Fashion Industry”, USA: Fairchild Books Größler A. (2001). “Musing about the Effectiveness and Evaluation of Business Simulators”, in Proceedings of the 19th International Conference of the System Dynamics Society, Atlanta, GA. systemdynamic.org Márquez, A. C. (2010). “Dynamic Modeling for Supply Chain Management Dealing with Front-end, Back-end and Integration Issues”. London: Springer-Verlag McGarvey, B and Hannon, B. (2004). “Dynamic Modeling for Business Management an Introduction”, New York: Springer-Verlag The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 M.W. Lidia, T. Arai, A. Ishigaki, and G. Yudoko – Applying System Dynamics Approach ... 195 [16] Patil, R., Avittathur, B. and Shah, J. (2010). “Supply Chain Strategies based on Recourse Model for very Short Life Cycle Products”. International Journal Production Economics, Vol. 128 pp.3-10 [17] Rajaram, K. (2001). “Assortment Planning in Fashion Retailing: Methodology, Application and Analysis”. European Journal of Operation Research, Vol. 129, pp. 186-208 [18] Samaranayake, Premaratne (2005). “A conceptual Framework for Supply Chain management: a Structural Integration”. Supply Chain Management: An International Journal, Vol. 10, No. 1, pp. 47-59. [19] Sterman, J. D. (2000). “Business Dynamics System Thinking and Modeling for a Complex World”. Singapore: McGraw-Hill. [20] Simatupang, T. M. Sandroto, I. V. and Lubis, S. B. H. (2004). “Supply Chain Coordination in a Fashion Firm”. Supply Chain Management an International Journal, Vol. 9 No. 3, pp. 256-268 [21] Suryawati (2009). “Analisis Struktur, Perilaku dan Kinerja Industry Tekstil dan Pakaian Jadi di Provinsi DIY”. Jurnal Akutansi dan Manajemen, vol. 20 no. 1 [22] Tan, B., Anderson Jr., E. G., Dyer, J. S. and Parker, G. G. (2010). “Evaluating System Dynamic Model of Risky Projects Using Decision Trees: Alternative Energy Projects as an Illustrative Example”. System Dynamic Review, Vol. 26, No. 1, pp. 1-17 [23] Vaagen, H. and Wallace, S. W. (2008). “Product Variety Arising from Hedging in the Fashion Supply Chains”. International Journal Production Economics, Vol. 114, pp. 431-455 [24] Yuen, F. T. and Chan, S. L. (2010). “System Dynamic Modeling in CRM: Window Fashions Gallery”. International Journal of Engineering Management, Vol. 2, No. 2, pp. 77-84 [25] Zhenxiang, W. and Lijie, Z. (2011). “Case Study of Online Retailing Fast Fashion Industry”. International Journal of e-Education, e-Business, e-Management and e-Learning, Vol. 1, No. 3 Cite this paper Lidia, M.W., Arai, T., Ishigaki, A., and Yudoko, G. (2012). “Applying System Dynamics Approach to the Fast Fashion Supply Chain: Case Study of an SME in Indonesia,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 187-195. ISBN: 978-979-15458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 196 The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 Requirement Model of Mobile Supply-Chain for Petrol Transportation in Malaysia Kamal Imran M Sharif1,*, Zulkifli Mohamed Udin1,*, Jafni Azhan Ibrahim1,*, Mazni Omar2,* 1 School of Technology Management and Logistics (STML) - College of Business (CoB) - Universiti Utara Malaysia (UUM), Sintok 06010, Kedah Darul Aman, Malaysia 2 School of Computing (COMP) - College of Arts and Sciences (CAS) - Universiti Utara Malaysia (UUM), Sintok 06010, Kedah Darul Aman, Malaysia Abstract. The demand of mobile technology in Malaysia has been more than expected and continues to expand greatly. Mobile supply chain management is one of the systems that provide managing petrol transportation efficiently. The application of mobile technology, allow the information of petrol transportation to retrieve ubiquitously and ordering process can be done immediately. It will help the sales executive from the oil and gas company to closely monitor and ensure good delivery of petrol to customers. Thus, this study aims to design a requirement model for mobile supply chain management system for petrol transportation in one of the oil and gas company in Malaysia. The model will provide a better guideline for the mobile system developer to design and develop the system accordingly. There are three main phases involved in the study which are defining, analyzing, and validating requirements. Nevertheless the study only focused on capturing the functional requirements using Unified Modeling Language (UML) and concluded the constraints arose during the course of producing the model. Keywords: Mobile supply-chain, technology management, unified modelling language 1. Introduction Nowadays, fleet management system, become one of the elements that contribute to current fleet’s productivity and reduce working capital requirements by lowering operational expenses. In addition, the fleet management had become the business challenge in order to find the right alliance of technologies and services to unleash the full management potential. In order for the fleet management company to stay in touch with their marketing and sales information, mobile communication become the component that provide specialized needs to them (Salkintzis, 1999). Silva and Mateus (2003) stated that a lot of opportunities can be created with the combination of three technologies which are Internet, mobile communication and location technologies. Thus, to * Corresponding author. E-mail address: [email protected] ; [email protected] ; [email protected] ; [email protected] 198 K.I.M. Sharif, Z.M. Udin, J.A. Ibrahim, and M. Omar – Requirement Model of Mobile Supply-Chain ... exhibit the usefulness of mobile fleet management system, petrol transportation is one the services that employed the application of information technologies which can provide the return on investment to the company. In order to establish a well-defined mobile fleet management system, analysts or developers of the system need to understand all the requirements needed to build the system. According toSilva and Paton (2000), analyst used requirement model as a data flow model to represent the functional requirement and operational concept as the basis of the design guidelines. Pertaining to this, Unified Modeling Language (UML) has various uses in many different applications and become the industrial standard language for object oriented analysis and designs (Nunes, 2000). Therefore, this study is aimed to design the requirements model using UML model. Petronas Dagangan Berhad (PDB) has been chosen as the case study since the oil and gas multinational company provide petrol supply services for the petrol station in Malaysia. 1.1. Problem Statement In PDB, sales information is one of the important element that gives an overview of sales executive to achieve immediate and 100% market penetration. Marketing covers a wide range of distinct activity that requires different skills to perform and provides greater support to user interface design. However, due to the factor that working nature of the sales executive that they are mobile, the sales executive unable to stay in touch with their sales information such as to keep track the delivery of petrol and sales strength. Currently, the information is only available in the stand alone database which only can be accessed from the office. The existing systems only cater for scheduling of the transportation internally and no mechanism exist to update the sales executive on the status of the delivery information. As far as productivity is concerned, the power of accessing up to date information on sales is highly desirable for all the sales executives. The scope of the study will be focusing on development of requirement model of (Mobile Fleet of PDB) M-FLEP. The requirement model consists of use case diagram, use case specification, class diagram, activity diagram and interaction diagram. Besides, a prototype of M-FLEP is also developed as a proof of concept of the requirement model. The prototype will be using the desktop PC Emulation as an instrument to demonstrate the M-FLEP. 2. Literature Review 2.1. Requirements The description of what a system should do in software engineering is defined as requirement. In addition the collection of requirements defines the characteristics or features of the required system but did not state how the system implements the requirements. In the other hand, user requirement is interpret as high level abstract requirement while system requirement is the detailed design of what the system should do (Sommerville, 2007). Whitten et al. (2001) divided requirement into two major types, which are functional requirement and nonfunctional requirement. Bennet et al. (2006) divided requirement into three categories, which are, functional requirement, non-functional requirement and usability requirement. Functional requirement is a system service which is expected by the user of the system and will present the functional or feature that must be included in certain system to satisfy the business need and be acceptable to the users (Sommerville, 2007). According to (Whitten, 2001) the description of other features, characteristics and constraints that define a satisfactory system can be called as non-functional requirement. Non-functional requirement are those that describes aspect of the system that are concerned with how well it provides the functional requirement. 2.2. Requirement Model All requirements that have been obtained should be documented after the system analyst has found the requirement. This will help the system analyst to obtain the required document. Requirement model should be presented in an understandable way such as modeling the requirement. Requirement is aims to capture the functional requirement from user perspective and give a complete view of the requirement needed from the system (Bennet, et al., 2006; Booch, Rumbaugh, & Jacobson, 1998). A requirement that use UML, will consist of a use case model, use case diagrams, use case description, prototype of some use cases and initial Architecture Model of showing sub-systems. A subsystem is a part of a system that consist related elements and a model is an abstraction of a system or sub-system from a particular perspective or view. 2.3. Unified Modeling Languange (UML) The Unified Modeling Language (UML) is a visual modeling language that can be used to specify, visualize, construct and document the artifacts of software system (Booch, et al., 1998). According toSilva and Paton (2000), UML has been widely accepted by application developers and provide greater support to user interface design.According to Eriksson(1998), UML can be applied in different phases of system development, from the requirement specification to the test of finished system. In addition, UML can also be used for business modeling, The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 K.I.M. Sharif, Z.M. Udin, J.A. Ibrahim, and M. Omar – Requirement Model of Mobile Supply-Chain ... 199 software modeling in all phases of development and for all types of system, and general modeling of any construction that has both a static structure and dynamic behavior. Furthermore, UML has become the formal and de facto standard for creating software models. There are many types of diagrams in UML. Each diagram in UML has a specific purpose. The following defines the types of UML models for the specific domains: The User Interaction or Use Case Model - describes the boundary and interaction between the system and users. The Interaction or Communication Model - describes how objects in the system will interact with each other to get the work done. The State or Dynamic Model - State charts describe the states or conditions that classes assume over time. Activity graphs describe the workflows the system will implement. The Logical or Class Model - describes the classes and objects that will make up the system The Physical Component Model - describes the software (and sometimes hardware) components that make up the system. The Physical Deployment Model - describes the physical architecture and the deployment of components on that hardware architecture. 2.4. Mobile Location Services Mobile world has become the rapid development and fast adaptation of new technologies. The convergence of three technologies, the Internet, wireless communication and location technologies is creating new opportunities for mobile services (A. P. Silva & Mateus, 2003). On top of that, recent technological developments have led to the availability of mobile environments for the implementation of fleet management application (Riccardo Bozzo, 2001). Therefore, in order to improve effectiveness of the transportation system, mobile location information services can be utilized. According to (Jagoe, 2003), mobile location services are subset of larger set of new capabilities enabled by advanced personalization technologies which is context based services. Application that are context-enabled not only are able to customize themselves based on where a user is but also on who the user is and the user might be playing at a given time. Therefore, mobile location services have a great deal of attention because of the opportunity that they present service providers. Swedberg (1999)has suggested Ericsson’s mobile location solution to customize personnel communication services through the mobile phone or other mobile devices. The location-based services are categorized by type of application, which are information services, tracing services, resource management, navigation and also map services. Multimedia networking has become widely used in 1990 and there is an increasing demand in supporting the usage in wireless in environment (Biswas & Hopper, 1995). Wireless networks have utilized a client-server approach to the development of wireless network location services. The location services client is representative of location service applications that either reside within the wireless network including mobile station or may reside outside the wireless network. These clients are capable of requesting location information or network positioning assistance information from the wireless network. 2.5. Mobile Fleet Management Application Fleet management is a discipline of tracking, maintaining, and otherwise managing a fleet of vehicles in an organized manner. These include organize all contact information on drivers, employees and customers, track all details on each accident, claim or traffic violation, manage parts inventory and automatically generate and print work orders. Huiberts (1989) claims that mobile communication has been increasingly important to Truck Company as more companies get the maximum profit from the communication system. In addition, McLellanet. al.,(1992) stated that the mobile operation can help to: i) minimize response time; ii) increase the capacity of goods delivered; iii) improve the service to the customer in the form of information on where the response vehicle is at any given moment; and iv) maximize the use of resources (vehicles and personnel) available. Silva and Mateus(2003)has work on modeling a mobile location-based services (LBS) application using wireless communication network infrastructure. The objective of this application is to assign a taxi to each mobile user based on optimization and simulation. On the other hand, the application can enable the fleet managers to view and interact with their entire mobile fleet using the Web or wireless Internet, where they can track mobile user’s location and movement on map.Prasad et. al.(2002)has developed a mobile fleet application system that runs on different workstations and hand-held devices as a distributed mobile system on a wireless The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 200 K.I.M. Sharif, Z.M. Udin, J.A. Ibrahim, and M. Omar – Requirement Model of Mobile Supply-Chain ... network. This system has three major components, which are the Web and Data Center (WDC), depots and trucks. A user may connect to the WDC to request delivery of a package and give information pertaining to the package such as where the package can be picked up and where it should be delivered. The WDC passes the information to the depot, which schedules the pick-up. Using the wireless communication, the truck will arrive according to the schedule and take the package to its destination. McLellanet. al.,(1992)has introduced the NavTrax system which is a dispatch type Automatic Vehicle Location and Navigation (AVLN) system. This paper describes that the NavTrax has three main subsystems, namely, the in-vehicle subsystem, the communication subsystem and the dispatch center subsystem. The invehicle subsystem performs specific functions such as position and location computation, status determination and reporting to dispatch office and receipt message from central dispatch. The communication subsystem has employed UHF/VHF technology. However, they planned to implement cellular technology. The main functions of dispatch centre subsystem are to collate and display information of controlling the fleet. 3. Methodology The methodology of the system consists of three phases namely, define requirements, analyze requirements and validate requirements. There are as follows: 3.1. Define Requirements This phase is the initial phase on development of requirement model that emphasize on gathering data requirements. There are two types of fact-finding used which are informal interview and background reading. Informal interview has been conducted with the main owner of the system which is PDB sales executive. The background reading technique has been obtained by referring to the user manual from the working procedure. In addition, the informal interview has been supported with a set of questionnaires that has been given to the identified users. 3.2. Analyze Requirements In this phase, the requirements of the M-FLEP have been transformed into UML model. There are many ways to document the requirements for an information system. UML created by Booch et al. (1998)is a language for specifying, visualizing, constructing and documenting the deliverables of software product. It enables stakeholders that are involved in software development document and describe the software in standard way. The UML diagrams involved are as follows: i. ii. iii. iv. v. Use Case Diagram Activity Diagram Sequence Diagram Collaboration Diagram Class Diagram Besides, list of requirements to show the functionalities of the system was also identified. All the diagrams constructed were assumes syntactically correct. This has been ensured by the UML Computer Aided Software Engineering (CASE) tool which is Rational Rose. 3.3. Validate Requirements The horizontal prototype was used to validate functionalities of mobile fleet management system for petrol transportation. The horizontal prototype is a high level prototype that specifies the basic functionality of the system (Jozo Dujmovic 1999). The functionality will be specified in graphical user interface screens, interfacing of modules, order of execution and works with sample data. The goal of horizontal prototype is to refine unclear requirements from the system. The prototype has been developed for mobile fleet management system is using Microsoft Front Page 2000, Active Server Pages (ASP) and Desktop Pocket PC Emulation. The aim of validation is to identify and correct all errors occurred regarding the incorrect or inconsistency information. 4. Results and Findings 4.1. UML Diagrams The result of the research which is the requirement model was represented using UML notation. The following diagrams have been modeled. There are: 4.1.1. Use Case Diagram The use case diagram has three (3) primary actors, namely customer, clerk and sales executive. There is one (1) secondary actor which is PDB Profile Database. There are eight (8) use cases which are request petrol, The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 K.I.M. Sharif, Z.M. Udin, J.A. Ibrahim, and M. Omar – Requirement Model of Mobile Supply-Chain ... 201 view order list, manage delivery, view schedule, arrange schedule, manage stock, generate invoice, and authenticate user. The use cases identified has been packaged to show the modules involved. There are three (4) packages which are user authentication, order management, delivery arrangement, and stock management. Figure 1 and 2 shows the use case diagram and packages involved. customer request petrol <<include>> manage delivery <<include>> <<include>> sales executive search order <<include>> authenticate user <<include>> PDB Profile Database view schedule <<include>> <<include>> arrange schedule clerk manage stock generate invoice Fig. 1: Use Case Diagram for M-FLEP 4.1.2. Use Case Specification Use case descriptions provide detail descriptions of the interaction between the actors and the system. There are eight (8) use case descriptions based on each use case identified. The use case specification includes the basic description of normal flow, exceptional flow, and alternative flow. The use case specification also defined the pre-condition, post-condition and constraints of the use cases. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 202 K.I.M. Sharif, Z.M. Udin, J.A. Ibrahim, and M. Omar – Requirement Model of Mobile Supply-Chain ... 4.1.3. Activity Diagram Activity diagram is important to define the workflow of the business activity. There are four (4) activity diagram has been modeled reflecting the four (4) modules that has been defined, which are user authentication, order management, stock management and delivery management. 4.1.4. Class Diagram There are fifteen (15) classes have been defined for M-FLEP. The classes have been grouped into three (3) stereotypes, which are boundary, controller and entity. Figure 3 shows the M-FLEP Class Diagram. Boundary Controller CustomerMenu (from Boundary) 1 OrderManager (from Control ler) 11 1 1 1 ExecMenu (from Boundary) 1..* 1..* 1 DeliveryManager (from Controller) 1 Order (from Enti ty) 1 1 1..* 1..* Schedule (from Entity) 1..* 1 1 1 1 1 1 1 LoginMenu (from Boundary) Entity 1 1 PrintManager (from Controller) 1 1 LorryInfo (from Entity) 1 ClerkMenu (from Boundary) 1 1 1 LoginManager (from Control ler) 1 1..* Invoice (from Entity) 1..* InvoiceManager (from Controller) 1 1 1 StockManager (from Controller) 1 1..* 1..* Stock (from Entity) Fig. 3: Class Diagram for M-FLEP 4.1.5. Interaction Diagram Interaction Diagram consists of sequence and collaboration diagram. There are twenty (20) sequence diagrams and twenty (20) collaboration diagrams have been modeled for M-FLEP which is considering the normal flow, exceptional flow and alternative flow of each use cases identified.Besides, the list of functional requirements also has been constructed. There are twenty five (25) functional requirements documented for MFLEP. There are as Table 1. In Priority column, M refers to mandatory requirements that the system must be fulfilled. O is refers to optional requirements that the system may do and D is refers to desirable requirements that the system is preferably should do. 5. M-FLEP Prototype M-FLEP prototype has been developed using HTML and ASP scripting language. In order to validate the requirements, testing script has been constructed based on the use case identified to the user. Changes have been made iteratively based on the user comments. Figure 4 shows the sample interface using Desktop PC Emulator. In this study, the following guidelines were considered in designing the user interface for mobile application. There are: Design for small screen Avoid scrolling too much Use thumbnail or navigation links Design for speed Put the right content on page Present the most important information first at the top Optimize the reading process This research has been adopted as the guidelines in designing the interface of M-FLEP. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 K.I.M. Sharif, Z.M. Udin, J.A. Ibrahim, and M. Omar – Requirement Model of Mobile Supply-Chain ... 203 Fig. 4: Sample of M-FLEP Interface Table 1: List of functional requirements for M-FLEP No. 1. 2. 3. Requirement ID M-FLEP_REQ_01 M-FLEP_REQ_01_01 M-FLEP_REQ_01_02 M-FLEP _REQ_01_03 Requirement Description Priority AUTHENTICATE USER User can enter their unique user name and password to log into the system. M User can select Reset option to reset the user name and password field. O An error message will be displayed if the user enters wrong or invalid password. D 4. 5. 6. M-FLEP_REQ_02 M-FLEP_REQ_02_01 M-FLEP_REQ_02_02 M-FLEP_REQ_02_03 REQUEST PETROL Customer can make request by entering request petrol information. Customer can view request that has been made. A confirmation message will be displayed when the order is successfully raised. 7. 8. 9. 10. 11. M-FLEP_REQ_03 M-FLEP_REQ_03_01 M-FLEP_REQ_03_02 M-FLEP_REQ_03_03 M-FLEP_REQ_03_04 M-FLEP_REQ_03_05 MANAGE DELIVERY Sales executive can view list of order request from customer. Sales executive can select customer name to view details. Sales executive can enter status information to manage delivery. Sales executive can delete customer order. A confirmation message will be displayed to confirm deleting the customer order. 12. 13. M-FLEP_REQ_04 M-FLEP_REQ_04_01 M-FLEP_REQ_04_02 SEARCH ORDER Sales executive can search order request from customer by customer number. Sales executive can view particular customer request details. M M 14. 15. M-FLEP_REQ_05 M-FLEP_REQ_05_01 M-FLEP_REQ_05_02 VIEW SCHEDULE Sales executive can view delivery schedule. Sales executive can print delivery schedule. M D The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 M M D M M M D D 204 K.I.M. Sharif, Z.M. Udin, J.A. Ibrahim, and M. Omar – Requirement Model of Mobile Supply-Chain ... 16. 17. 18. 19. M-FLEM_REQ_06 M-FLEP_REQ_06_01 M-FLEP_REQ_06_02 M-FLEP_REQ_06_03 M-FLEP_REQ_06_04 ARRANGE SCHEDULE Clerk can view list of customer order. Clerk can select customer name to view details. Clerk can search available lorry status by plat number. Clerk can view available lorry by specific plat number. M M M M 20. 21. 22. M-FLEP_REQ_07 M-FLEP_REQ_07_01 M-FLEP_REQ_07_02 M-FLEP_REQ_07_03 MANAGE STOCK Clerk can search fuel stock by date. Clerk can view stock available by specific date. Clerk can enter new stock. M M M M-FLEP_REQ_08 GENERATE INVOICE 23. M-FLEP_REQ_08_01 Clerk can search by order number. 24. M-FLEP_REQ_08_02 Clerk can view customer invoice. 25. M-FLEP_REQ_08_03 Clerk can print the customer invoice. M M D 6. Conclusions 6.1. Research Summary The objectives of the research are to design, test and validate a requirement model for mobile fleet management system that includes diagrammatic and textual description using UML that meets the requirement of user of PDB’s fleet management system. The prototyping of the system and the test script was adopted for requirement model validation. The requirement model that produced in the study will become as a guideline for the interested system developers to produce mobile fleet management system in the future. Moreover the requirements can be referred not only to mobile application developer, but it can also be referred to web based application developer in order to develop a well-established system. 6.2. Constraints and Limitations There are several problems encountered during development of M-FLEP. Although the objective of designing the requirement model is achieved, some limitation still occurred. The constraints and limitations in developing of M-FLEP are: The prototype system is not fully function, due to time constraints in developing the prototype. However the research manages to cover the horizontal prototype. The scripting limitation of Hypertext Markup Language (HTML) cannot support the mobile technology in the development of user interface. The system developer has to define the appropriate mobile technology language such as Wireless Markup Language (WML) in order to ensure the smoothness development of mobile user interface. This study only conducting interviews and prototype validation among respective sales executive of PDB. Due its focus to provide generalized functions for PDB’s executive and stakeholder it should include other party that involve in the business. 6.3. Recommendations for Future Research The following recommendations are forwarded to facilitate the constraints and limitation of the study. It is hoped that a complete requirements of mobile fleet management system can provide the tracking of the transportation of tanker using GPRS technology. This scope can be enhanced by future developer. The development of mobile fleet management system should be developing using the appropriate development tools such as WML, in order to ensure the smoothness development of mobile user interface. It also suggested that the future research should use brainstorming technique apart from interviews. A lot of participants can be involved in the discussion by using the brainstorming technique. References [1] Bennet, S., McRobb, S., & Farmer, R. (2006). Object-oriented systems analysis and design using UML. Berkshire: McGraw-Hill. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 K.I.M. Sharif, Z.M. Udin, J.A. Ibrahim, and M. Omar – Requirement Model of Mobile Supply-Chain ... [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] 205 Biswas, S. K., & Hopper, A. (1995, 6-10 Nov 1995). A representative based architecture for handling mobility in connection oriented radio networks. Paper presented at the Universal Personal Communications. 1995. Record., 1995 Fourth IEEE International Conference on. Booch, G., Rumbaugh, J., & Jacobson, I. (1998). The Unified Modeling Language User Guide Massachusetts: Addison-Wesley. Eriksson, H., & Penker, M., (1998). UML Toolkit. United States of America: John-Wiley & Sons, Inc. Huiberts, S. J. C. (1989, 11-13 Sep 1989). How important is mobile communication for a truck company? Paper presented at the Vehicle Navigation and Information Systems Conference, 1989. Conference Record. Jagoe, A. (2003). Mobile Location Services: The Definitive Guide. Upper Saddle River, New Jersey: Pearson Education Inc. Jozo Dujmovic, E. P., Arstides Dasso, Ana Funes, Daniel Riesco, Germn Montejano, San Luis, San Luis, San Luis, Ro Cuarto, Adriana Echeverra, Facultad De Ingenieria, Paseo Colon (1999). Software Quality Assurance in a Project based on Rapid Evolutionary Prototyping Methodology Paper presented at the 17th Anual International of Computer Science, San Diego, California, USA. McLellan, J. F., Krakiwsky, E. J., Schleppe, J. B., & Knapp, P. L. (1992, 23-27 Mar 1992). The NavTrax fleet management system. Paper presented at the Position Location and Navigation Symposium, 1992. Record. 500 Years after Columbus - Navigation Challenges of Tomorrow. IEEE PLANS '92, IEEE. Nunes, N. J. (2000). Towards a UML profile for interaction design: the wisdom approach. Paper presented at the Proceedings of the 3rd international conference on the unified modeling language: advancing the standard, York, UK. Riccardo Bozzo, A. D., Eckhard Kuhla°, Renzo Nurchi, Valerio Recagno. (2001). A vision of future freight rail fleet management. Retrieved 31 January, 2012, from http://goo.gl/baXM2 S. K. Prasad, M.W., Y. Zhang, A. Zelikovsky, S. Belkasim, R. Sunderraman, V. Madisetti (2002). Mobile Fleet Application Using Soap and System on Devices (SyD) Middleware Technologies Paper presented at the Proc. Conf. Communications of the 37th Hawaii International Conference on System Sciences - 2004 Internet and Information Technology (CIIT 2002) St. Thomas, Virgin Islands. Salkintzis, A. K. (1999). A survey of mobile data networks. Communications Surveys & Tutorials, IEEE, 2(3), 2-18. Silva, A. P., & Mateus, G. R. (2003, 9-11 June 2003). A mobile location-based vehicle fleet management service application. Paper presented at the Intelligent Vehicles Symposium, 2003. Proceedings. IEEE. Silva, P. P. d., & Paton, N. W. (2000). UMLi: the unified modeling language for interactive applications. Paper presented at the Proceedings of the 3rd international conference on the unified modeling language: advancing the standard, York, UK. Sommerville, I. (2007). Software Engineering (8th Ed.). Essex, England: Pearson Education. Swedberg., G. (1999). Ericsson’s mobile location solution. Ericsson Review. Whitten, J. L., Bentley, L. D. & Dittman, K.C., (2001). Systems Analysis and Design Methods (5th ed.). Boston: McGraw-Hill. Cite this paper Sharif, K.I.M., Udin, Z.M., Ibrahim, J.A., and Omar, M. (2012). “Requirement Model of Mobile Supply-Chain for Petrol Transportation in Malaysia,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 197-205. ISBN: 978-979-15458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 206 The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 Green Supply Chain Management at PT. Biomethagreen Winda Haryati Utami1,*, Ina Primiana1, Budi Harsanto1 1 Faculty of Management and Business - Universitas Padjadjaran (Unpad), Jl. Dipati Ukur no.35, Bandung 40132, Indonesia Abstract. Every industry’s business process would have environmental impacts. One of environmental impact that we can see is the disposal of the final product that has been used by consumers such as packaging, or the product itself which we call the garbage or solid waste. With the application of green supply chain, companies can reduce resource use in the production process, especially in the procurement of raw materials The purpose of this study is to determine the impact of the implementation of green supply chain to the company’s performance in terms of time and cost. In this study, researchers used a qualitative descriptive research method to create a description in systematic, factual and accurate information about the facts, properties and relationships among phenomena investigated. This study using tools in the form of SCOR (Supply Chain Operating Reference) level one to assess green supply chain performance is applied by the company. The result is that the performance of PT Biomethagreen is on the average, so as to achieve best in class is like, needs to improve performance on some aspects. Keywords: Supply chain management (SCM), green SCM, SCOR, logistics, environment 1. Introduction In this era, international businesses are growing rapidly. This condition made such a tough competition. Everything should be done by companies in order to have take advantages in efficient and effective way. In order to achieve efficiency and competitive advantages, one of the most important thing is to develop a proper supply chain in a business process. In thi globalization era, the number of industry is growing higher. Every industry do the business which have environmental impacts. We can see some of environmental impact as the disposal of the final product that has been used by consumer such as packaging. The product it self, we call it “garbage” or “solid waste”. In response engaging to this matter, companies must be proactive in order to keep the environment. Company need to reduce the pollution and do the business processes in efficient way. The concept of “green supply chain management” is presented as a manifestation of the world worrying about the environmental pollution issue which is mostly done by the industry. By applying this concept, companies have to reduce and eliminate such production waste as a result of the production process. (Kushwaha, 201, p.2) * Corresponding author. E-mail address: [email protected] 208 W.H. Utami, I. Primiana, and B. Harsanto – Green Supply Chain Management at ... The application proccess of the concept “green supply chain management” is to reduce environmental pollution base on the concept of “zero waste” and might be able to increase the efficiency of the company in the supply chain (Kuswaha, 2011, p.3). With the method of green supply chain, companies could reduce the uses of resource in the production process, especially in the procurement of raw materials. This can be done because procurement of raw materials derived from recycled of finish good which are marketed to consumers. Certainly, in the long run, this will increase the company’s profit either directly or indirectly because of the cost of procurement of raw materials can be minimized. In addition, the application of this concept will result a great image for companies. PT Biomethagreen is one of the companies that applied the concept of green supply chain management on their operation. This company used organic waste (solid waste) as the main raw material in the production process. Besides, the company does not produce any waste in the production process and use environmentally friendly packaging that can be refilled as efforts to reduce environmental impact. Based on that background, this paper will examine and measure the performance of the implementation of green supply chain management which has been done over a year period backward. Assessment of green supply chain performance is seen through the company performance in general. The Performance Analysis Tool used to determine the performance of green supply chain in PT Biomethagreen is called SCOR level 1. 2. Literature Review 2.1. Definition of Green Supply Chain Management According to Alan McKinnon, et al. (2010), the definition of green supply chain is: “The alignment and integration of environmental management within supply chain management.” Another concept of green supply chain management (Srivasta, 2007, p.5) is a concept that integrates environmental thought into supply chain management, which includes production design, procurement and selection of raw materials, manufacturing processes, deliver of the final product to the consumer, even manage the product which had been used by consumers. 2.2. Model of Green Supply Chain Management Green supply chain is based on green innovation process which is applied throughout the supply chain, which is also based on two stages in organization, design and realization. The following is an overview of the concept of green supply chain management. Picture 1. Green Supply Chain Management Model Souces: Hervani, Helms, Sarkis, 2005 The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 W.H. Utami, I. Primiana, and B. Harsanto – Green Supply Chain Management at ... 209 Fig. 1 shows a difference betwen the concept of the green supply chain management and supply chain management. In the above model of green supply chain, the selection of resources determined by three sources such raw materials, supporting materials, and recycled materials. The difference is that company also used resources from the final product that has been consumed by the consumers. Besides, other features is in production process is a close-loop method so that no waste during the production process (the concept of zero waste), because the production process has a cycle form. Last, one of the most important features is the concept of reverse logistics, that the material flow coming from the consumer. In this case, a residual material consumption which then being circulated back to the company’s supply chain to then be reused in the process production. 3. Methodhology 3.1. SCOR (Supply-Chain Operating Reference) SCOR is a global measurement method which can be understood by almost every language. Every type of company SCOR can be implemented and used as a reference. SCOR combines elements of business processes, benchmarking and application in a single frame work. SCOR divides the process of supply chain into five core processes such plan, make, deliver and return. 3.2. SCOR Process SCOR consists of 4 levels of processing. This paper uses SCOR in level 1. Level 1 is the top level that consists of 5 key processes are plan, source, make, deliver and return. 3.3. SCOR Metrics Table 1. Metrics SCOR measurement The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 210 W.H. Utami, I. Primiana, and B. Harsanto – Green Supply Chain Management at ... 4. Result and Discussion 4.1. Company Over View PT. Biomethagreen was built on December 8, 2009, but the company recently began operation in early February 2010. The new company established less than 2 years is engaged in natural fertilizers and industrial waste management services. Biomethagreen concept was born from a strong desire in tackling the waste problem with the process, especially when issues of this waste, started sticking in Bandung late 2008. In addition, the concept is also directed to another advantage is generate new sources of energy in the form of biogas and also deal with the availability of fertilizer. 4.2. Implementation of Green Supply Chain Management PT Biomethagreen has applied the concept of green supply chain business processes. Application of the principles of green supply chain management is especially seen in the procurement of raw materials, production processes and the use of packaging which can be recharged. The company uses raw materials that are organic wastes obtained from the public. As noted earlier, the uniqueness of this production process is to use recycled raw material is public waste. The company also improves production efficiency so that no waste is generated in the production process meaning that all the results in the production process can be utilized. In addition, the packaging used can be recharged thereby minimizing the use of excessive packaging. Here’s more detailed picture of the implementation of green supply chain at all stages of business. Picture 2. Flowchart of green supply chain management at PT Biomethagreen Sources: Interview and observation at PT Biomethagreen 4.3. Raw Material Procurement To produce liquid fertilizer Biomethagreen, the company uses main raw materials, mid raw material and auxiliary materials and also packaging that used in production processes. 4.4. Main raw Material Procurement Raw material for this fertilizer is in the form or organic waste, animal or human feces. Organic waste is obtained by sorting the result performed by employees of PT Biomethagreen, but form some target areas, waste is divides by each community based on organic or inorganic. For once the digester production capacity of 200 kg of organic waste takes 95 % of the total production of materials that will go into digester. 4.5. Mid-raw Material Procurement Procurement of raw materials obtained from partners companies who have been doing PT Biomethagreen digester installation at certain location so as to produce slurry (mid materials). The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 W.H. Utami, I. Primiana, and B. Harsanto – Green Supply Chain Management at ... 4.6. 211 Auxiliary Material Procurement Procurement of auxiliary materials (starter) was also carried out by PT Biomethagreen before making the production process. Among these auxiliary, urea and sugar are used to support production of fertilizer. Starter that is required is 5% of the total capacity of the material that goes into the digester. 4.7. Production After conducting the procurement process both the procurement of raw materials, auxiliary materials and packaging, of course, the company will conduct the production process. In the production process, the company uses 2 (two) ways, namely by producing of raw materials and the manufacture of mid-raw materials. The terms of the raw material here is the process of making fertilizer Biomethagreen starting from organic waste processing and auxiliary materials into the digester, after 30 days or 1 (one) month, 60% of the total input will be output, called slurry. This slurry can then be processed in the final stages of along process Fertilizer Biomethagreen with ± 60 days/2 (two) months. While the mid-raw materials are semi-finished materials produced by an external company in terms of PT. Biomethagreen is a companion, but for the final stage of the production process be submitted to PT. Biomethagreen. 4.8. Distribution After Biomethagreen fertilizers are produced in the factory PT Biomethagreen, subsequent processes or stages that are not less important is the distribution of fertilizer to the company warehouse to consumer / authorized agent. PT Biomethagreen has 5 (five) agents spread across multiple locations around Bandung and Sumedang. These five agents do Biomethagreen fertilizer distribution to local farmers. 4.9. Reverse Logistics Reverse Logistics that applied PT Biomethagreen are returning empty containers which have been used by consumers, so PT Biomethagreen can recycle packaging to be reused for Biomethagreen fertilizer. Consumers who have used Biomethagreen Fertilizers, can refill Biomethagreen fertilizer with lower prices in a way to exchange empty packaging with new packaging that has been filled by Biomethagreen fertilizer. This concept is a manifestation of the implementation of green supply chain management at PT Biomethagreen business processes. With this concept, the company helped reduce waste from the product packaging. 4.10. SCOR Measurement SCOR measurement is used to determine the performance of the implementation of green supply chain management that has been implemented by PT Biomethagreen for one year backward. SCOR (supply chain operating reference) are assessed at level 1 is the metric measurement of performance which refers to the literature book entitled “Handbook for Dramatic Improvement Using SCOR Model (Rosenbaum, 2003, p.78)”. In that book shown all metrics for determine performance that classified by supply chain reliability, supply chain flexibility, supply chain responsiveness and supply chain cost. The Benchamrking or the default value of each metric is derived from the average performance of similar companies and the company's best in class performance at similar companies. Categorizing the performance of PT Biomethagreen is obtained by comparing PT Biomethagreen performance with an average value at similar companies. Data in the Table 2 shows values for PT. Biomethagreen SCOR each metric along with its category. Below is an explanation for those values based on SCOR level 1 metrics. a. Delivery Perfomance Delivery performance is one of the metrics which include the supply chain reliability. Delivery performance is a value that indicates the percentage of orders delivered in accordance with the schedule required/ specified by the customer or company. To get the value of the Delivery Performance, authors should obtain all the data records of shipments of goods. Based on the delivery of data records is got amount of delivery order amount that on schedule and the total order of each month that incoming or the number of overall shipments each month. According to the table 2, the delivery performance of PT Biomethagren about the delivery of fertilizer to the agents officially is 84%. When compared with the delivery performance in best in class which is 93% and the average category which is 69% then the companies is categorized in the average class. So in order to achieve best in class company needs to improve corporate performance. b. Fill rates Fill rates also one of the supply chain metrics in supply chain reliability. Fill rates indicate the percentage of orders delivered on schedule without waiting for each type of product. This metric is similar to delivery The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 212 W.H. Utami, I. Primiana, and B. Harsanto – Green Supply Chain Management at ... performance, the difference is when delivery orders are calculated according to the schedule as a whole or in varying product dimensions, then fill rates specific of each type of product. In this study assessed only 1 (one) type of product that Biomethagreen Fertilizer. So, delivery performance and fill rates have the same value. But because of the standard value for best in class and average class of fill rates different from delivery performance, so, the comparation value is different to. Base on table 2, indicate that PT Biomethagreen neither in best in class or average class category. So in order to achieve average class, company has to improve their performance about 4 % and for achieve best in class about 13 %. c. Perfect Order Fulfillment Perfect order-fulfilment also one of metrics which include supply chain reliability. Perfect order fulfillment is a metric that indicates the percentage of orders delivered complete and on schedule. On this calculation, the company is more rigorous in assessing the performance delivery of goods. This means that the order is sent no less and no defects, both in terms of quantity and quality of goods Table 2 shows that the perfect order fulfillment PT. Fertilizer Biomethagreen for delivery to the official agencies was 74%. This percentage is certainly lower than the performance delivery and fills rates. When compared with the value of perfect order fulfillment in the category best in class in the amount of 92.4% and the category average of 65.7%, the companies included in the average category. So as to achieve best in class needs to improve corporate performance. d. Order Fulfillment Lead Time Order fulfillment lead time is one of the metrics which include the supply chain responsiveness. Order fulfillment lead time is a metric that indicates the time between customer order until the order they are received, with units of days or months. In order to get the fulfillment order lead time, the difference between the time when the order form is received and the time when the order is delivered to consumers must be known. Based on Table 2, order fulfillment values obtained for 3 days. When compared with the fulfillment order lead time in the category that best in class for 2-7 days and the category average of 8-21 days the company is included in the category of best in class. This occurs due to the location of delivery of orders that are still within reach of the company so it does not find a significant constraint on the delivery of goods. e. Production Flexibility Production flexibility is the metrics of supply chain flexibility. Production flexibility shows number of days to obtain a 20% increase or decrease unplanned orders. Thus, this factor indicates the number of days required by the company to meet demand if there is an unexpected increase in demand of 20% of the estimated number of previous requests. For the case of PT. Biomethagreen to produce biomethagreen fertilizer, have not found any surge in demand by 20% from the previous estimate. That’s why increase in demand can be met from inventory by the company. However, based on interviews, the company estimates that the Production Flexibility to meet the demand for Biomethagreen fertilizer is worth the time required in the production process that is ± 90 days/ 3 (three) months. When compared with the Production Flexibility on the category average of 1-2 weeks, the company that is well below the category average. So as to achieve the performance according to the grade average required increase in corporate management. The length of time it takes the company to meet demand if there is an unexpected increase in demand by 20% from previous estimates of demand due to several factors related to company operations. f. Total Supply chain Management Cost Total supply chain cost management is one of the metrics used to measure supply chain costs or expenses, Relating to the supply chain. Total supply chain cost management is the direct and indirect costs used in the plan, source, and delivery of goods or services each company has different considerations for determining the budget cost for supply chain management business processes. In the case of PT. Biomethagreen, the calculation of total supply chain cost management based on the costs incurred in order to improve the performance of supply chain companies in order to meet consumer demand. Data obtained through interviews, observation and examination of company documents during the production period. Based on Table 2 is seen that the total supply chain cost management biomethagreen fertilizer was 18.7%. When compared with the total supply chain cost management in the average category that is 23-29%, the The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 W.H. Utami, I. Primiana, and B. Harsanto – Green Supply Chain Management at ... 213 companies included in the category of best in class. It is enough to prove that the implementation of green supply-chain management in a company is able to minimize costs. Table 2. Recapitulation of SCOR measurement at PT Biomethagreen The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 214 W.H. Utami, I. Primiana, and B. Harsanto – Green Supply Chain Management at ... g. SG & A Cost SG & A Cost is one metric used to measure supply chain costs or expenses relating to the supply chain. SG & A cost is the cost of marketing, administrative and general expenses used to support the production of a good or service. Every company has a standard for determine each budget of sales, general and administrative (SG & A cost). In the case of fertilizer production biomethagreen, this budget fluctuates depending on the needs and conditions of the company each month. Based on the Table 2, it was found that the average SG & A costs to support fertilizer production activities at PT. Biomethagreen amounted to 20% of the production budget. When compared with the SG & A cost in the category Best in Class at 15% and the category average is 29% of the companies included in the average category. So as to achieve best in class category PT.Biomethagreen need to cut the costs associated with selling, administrative and general expenses incurred as a result of fertilizer production activities. h. Waranty Cost as % of Revenue Cost warranty is also one of the metrics used to measure supply chain costs or expenses relating to the supply chain. Warranty cost is the percentage of expenditure for the warranty to the value of sales (turnover). Warranty cost is incurred as a result of defective products returned by consumer to the company, so the company must pay to replace the defective product. In the case of PT. Biomethagreen, warranty costs incurred as a result of a defective product returns by customers due to the quality of products that do not fit the specifications or damaged packaging. Incurred cost warranty each month varies depending on the number of defective products which must be replaced by the company Based on table2 the average values obtained warranty cost for the period November 2010 to July 2011 is 3%. When compared with the warranty Cost in the category best in class in the amount of 1.2% and the category average is 2.94%, the company cannot be categorized either average class or best in class. So in order to achieve the average category and best in class, companies need to improve the performance of quality control and lower the defect rate of products so that cost can be lowered warranty. i. Inventory days of Supply Inventory days of supply are on the classification of assets, supply chain management efficiency inventory days of supply measures the adequacy of supply to the units of time (days). Thus, inventory days of supply is the average duration (in days) of a company can survive with the amount of inventory on hand (if there is no further supply) Supply chain performance said to be good if the asset is able to play fast (in other words have a high asset turnover). Thus, the shorter the inventory days of supply, the better the performance of a supply chain assets To be able to calculate or know Inventory days of supply required data on the average inventory, and demand components per year. For the case of PT Biomethagreen, the data required is the average number of available inventory in the warehouse company and fertilizer requirements Biomethagreen per year. After making observations and interviews to the PT Biomethagreen, author got the data as follows: 1. The average company save Biomethagreen fertilizer in warehouse is (Σ final inventory / 10 months) = 6591 units 2. Needs of Biomethagreen fertilizer per year is 71.910 pcs 3. Amount of workdays per year is 250 days 4. So, 5. So, inventory days of supply (71910 / 250) = 288 (6591 / 288) = 23 days Based on the above calculation obtained inventory days of supply that is 23 days. When compared with the value of inventory days of supply in the category that best in class for 55 days and the category average is 84 days, the company included in the category of best in class. So the company is considered to have reasonably good performance. So it is not necessary to have any improvement for this category. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 W.H. Utami, I. Primiana, and B. Harsanto – Green Supply Chain Management at ... j. 215 Cash to Cash Cycle Time Cash to cash cycle time is the time between the companies to pay material suppliers and receive payments from customers for products made from these materials. This metric measures the speed of changing the supply chain inventory into cash. The shorter the time required, the better the supply chain. Good companies normally have the cash to cash cycle short There are 3 (three) components in the calculation of cash to cash cycle time, namely: The average accounts receivable (in days) which is a measure of how quickly customers pay for goods already received. Average account payable (in days) that measures the speed of the company to pay to the supplier for material component accepted. The average inventory (in days, the inventory days of supply). Formula to measure cash to cash cycle time is: Cash to cash Cycle time = inv’tory of supply + avg of accounts receivable – avg of accounts payable [days] In the case of Biomethagreen fertilizer, based on interview and observation in field, obtained the data as follows: 1. Company inventory days of supply 2. Average days of account receivable 3. Average days of account payable = 23 days = 90 days = 60 days So, cash to cash cycle time Biomethagreen fertilizer is = 23 + 90 – 60 = 53 days Based on these values, if compared with the cash to cash cycle time in the category best in class in the amount of 35.6 days and the category average of 99.4 days, the company is included in the average category. So as to arrive at the class best in class, companies need to improve corporate performance, particularly in attracting funds in the consumer. k. Asset Turns Asset turns is a metric that there is also the category of asset management supply chain efficiency. Asset turn is how many times assets can be used to obtain revenue and profit. To obtain the value of the asset turn required data about the current amount of assets owned by the company and the revenue obtained by the company for one year Value of the assets turn for PT. Biomethagreen is 24 times, if compared with the value of assets turns on the category that best in class 4.7 times and category of the average at 1.7 times then the companies included in the category of best in class. So companies only have to maintain its performance. Value of assets turn is higher than average because of the company, implementing the green supply chain management, which is use of raw materials which are recycled materials, so the efficiency is very high and the company's profit is high enough. References [1] [2] [3] [4] [5] [6] [7] [8] [9] Bolstorff, P. and Rosenbaum, R. 2003. Supply Chain Excellence: A handbook for Dramatic Improvement Using the SCOR Model. Amacom: New York. Chopra, S., and Meindl, P. 2010. Supply Chain Management. 4th Edition. New Jersey: Pearson. Cohen, S., and Rousseel, J. 2005. Supply Chain Management “The 5 Disciplines For Top Performance”. New York: McGraw-Hill. Creswell, J. 1994. Research Design: Qualitative and Quantitative Approaches. Sage Publications: California. Fortes, J. 2009. Green Supply Chain Management: A Literature Review. Otagon Management Graduate Review. Ho, J., Shalishali, M., Tseng, Tzu-Liang., and Ang, D. 2009. Opportunities in Green Supply Chain Management. The Coastal Business Journal, p. 12. Irfan, D., Xiaofei, X., and Chun, D.S. 2008. A SCOR Model of the Supply Chain Management System in an Enterprise. The International Arab Journal of Information Technology, p. 6-9. Kushwaha, G. 2010. Sustainable Development through Strategic Green Supply Chain Management. International Journal of Engineering and Management Sciences. Mahendrawathi, P. 2010. Supply Chain Management. Surabaya: GunaWidya. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 216 W.H. Utami, I. Primiana, and B. Harsanto – Green Supply Chain Management at ... [10] Mckinnon, A., Cullinane, S., Browne, M., and Whiteing, A. 2010. Green Logistics: Improving the Environmental Sustainability of Logistics. KoganPage: London. [11] Samson, D. and Simpson, D. 2008. Developing Strategies for Green Supply Chain Management. University of Melbourne, p.5. [12] Sarkis, J. 2006. Greening the Supply Chain. Springer: London. [13] Sarkis, J. 2009. A Boundaries and Flows Perspective of Green Supply Chain Management. GPMI Working Papers. [14] Srivasta, S. 2007. Green Supply-Chain Management: A State-of-the-art Literature Review. International Journal of Management Reviews. [15] Supply Chain Operations Reference Model. 2008. SCOR Overview Version 9.0. Supply-Chain Council. [16] Yu-Lin, C., Ho, Yi-Hui. 2008. An Empirical Study on Logistics Service Providers Intention to Adopt Green Innovations. Journal of Technology Management and Innovation, p.6. [17] Zhu, Q., Sarkis, J., and Lai, Kee-hung. 2006. Green Supply Chain Management Implications for “Closing the Loop”. Transportation Research, p. 14-16. [18] http://ivanagusta. Files.wordpress.com/2009/04/ivan-pengumpulan-analisis-data-kualiatatif.pdf (September 2011). [19] http://images.purbayusbs.multiplycontent.com (Agustus 2011). [20] http://scribd.com/doc/18003036/data-sekunder-&-primer (September 2011). [21] http://docstoc.com/docs/87894084/50/-Pengukuran-Kinerja-Supply-Chain-Management (Oktober 2011). [22] http://globvieus.files.wordpress.com/2009/03/10-metode-pengumpulan-data-instrumen-compability-model.pdf (September 2011). [23] http://scribd.com/doc/7136865/Measuring-SCM-Benefits-SCOR [24] http://biomethagreen.com [25] http://supply-chain.org Cite this paper Utami, W.H., Primiana, I., and Harsanto, B. (2012). “Green Supply Chain Management at PT. Biomethagreen,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 207-216. ISBN: 978-97915458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 Supply-Chain Strategy and Performance: Mediating Effect of Supply-Chain Practices Abdul Aziz Othman1,*, Rushami Zien Yusoff1, Mohd Azril Ismail1, Rohana Husin1 1 College of Business (CoB) - Universiti Utara Malaysia (UUM), Sintok 06010, Kedah Darul Aman, Malaysia Abstract. This article reports a study designed to explore the state of supply chain practices in Malaysian Automotive industry by examining the mediating effect of supply-chain practices between supply-chain strategy and supply-chain performance. This study is accomplished by using survey questionnaire that was answered by 65 respondents from Malaysian automotive components manufacturing firms. The study found that supply-chain strategy had no direct relationship with supply-chain performance, but was mediated by supply-chain practices. This also found that the supply-chain practices act as full mediator towards relationship between supply-chain strategy and performance. Keywords: Supply-chain strategy, supply-chain practices, supply-chain performance 1. Introduction The level of competition in the business world today has changed from the national to the global level. The same scenario can be seen in the automotive industry in Malaysia where the major manufacturers and automotive component manufacturers need to become more competitive to absorb pressure from multinational companies are significantly increasing. As recommended by the Malaysian Automotive Institute (MAI), the automotive industry had to respond to a number of major developments, including the development of automotive technology, liberalization, and trends of restructuring and rationalization among international automotive companies. These developments have a clear impact on the policies and strategies on domestic and regional markets. Thus, supplier companies and automotive companies themselves must understand these developments, and take appropriate measures in terms of technology, product quality improvements and cost savings. (MAI, 2002). One of the alternatives to overcome this issue is by increasing the efficiency and effectiveness of supply chain management. Many challenges and problems will arise in making this supply chain management as an efficient and effective alternative. Among them is the alignment of supply chain strategies which is translated into practice the exact impact on organizational performance. For example, organizations that want to improve organizational * Corresponding author. E-mail address: [email protected] 218 A.A. Othman, R.Z. Yusoff, M.A. Ismail, and R. Husin – Supply-Chain Strategy and Performance ... performance through cost-efficient practices, need to operate at a location that offers low cost and to develop strategies that more closely to the Lean Supply Chain (Gunasekaran, 2008). Conversely, organizations that want to be competitive through innovation need to use strategies more closely to the agile supply chain (Gunasekaran, 2008). This is supported by a study conducted by Gunasekaran, Lai and Cheng (2008) which state the nature of supply chain strategy, aimed at an efficient cost is a lean supply chain. Furthermore, Groote (1994), Fisher (1997), Randall and Ulrich (2001) stated in their study that generally profit in the supply chain investments will only be available if there are alignment between supply chain strategy with form of process or product requests. Directly, this request form should be adapted to the practices involved in the supply chain for which the outcome of the strategy can be translated accurately. Finally, to have the effective supply chain, organizations need to adapt the appropriate supply chain strategy and supply chain practices (Sufian, 2010). Therefore, this study designed to examine the mediation effect of supply chain practice towards relationship between supply chain strategy and supply chain performance in the automotive industry in Malaysia. 2. Literature Review Council of Supply Chain Management Professionals (2004), previously known as the Council of Logistics Management (CLM) is a professional body that promotes the practice, development and education of supply chain practices, defines supply chain management as “SCM encompasses the planning and management of all activities involved in sourcing and procurement, conversion, and all logistics management activities, including coordination and collaboration with suppliers, intermediaries, third-party service providers, and customers”. Therefore, supply chain encompasses all activities involved in the production and delivery of the product or service, from initial supplier to end customer. Meanwhile, Cooper et al. (1997) defines supply chain management as the management and integration of the entire set of business processes which provide products, services and information that can add value to our customers. Some authors previously, Christopher (1998), New and Payne (1995), and Simchi-Levi et al. (2000) has defined supply chain management as “the integration of key business processes among a network of suppliers, manufacturers, distribution centers and vendors to improve the flow of products, services and information from the original suppliers to end customers, with the objective of reducing overall costs while maintaining service levels.” The basic objective of supply chain management is to optimize supply chain performance with value-added as much as possible for the costs as low as possible “. In other words, it aims to connect all supply chain entities to jointly work together as an organization which is as a way to maximize productivity in the supply chain and provide benefits to all parties concerned (Finch 2006). Furthermore, according to Mentzer (2001), the importance of a supply chain management is a “coordination of traditional business functions in a systematic, strategic in certain companies and the whole business in the chain, to improve the performance of long-term individual companies and companies in the supply chain as a whole” Lambert et al. (1998) view that the supply chain is not the business chain relationship between a single organization with other single organization but a variety of business networking. Thus, supply chain management is the process of business excellence as a whole (total business process excellence) and it also became a new way to manage the business and relationships with other business entities in the chain. This aspect becomes particularly relevant to the automotive industry and supply chain management is said to be the basis for good performance and competition in the automotive industry. This is because the automotive industry involves various sources of materials, products and components in which each require their own production process also its means that this industry involves multiple suppliers. Supply chain strategy refers to the nature of procurement of raw materials, transportation of materials to and from the company, product or manufacture of the operation to provide the service, and distribution of the product to the customer, along with any follow-up service and a specification of whether these processes will be performed in-house or outsourced (Chopra & Meindl, 2007). Naylor et al (1999), Towill and Christopher (2002) suggest three types of supply chain strategy which are agile supply chain, lean supply chain and hybrid supply chain. Their case studies show how the lean and agile supply chains have successfully merged to form a strategy referred to as a hybrid supply chain. However, Naylor et al (1999) use the term of leagile that refers to the integration between these lean and agile supply chain. Based on previous studies, no single set of common supply chain practices can be concluded. Even set of supply chain practices determine from different perspectives, but having the same goal of improving supply chain performance (Sufian, 2010). Therefore, this study identified the dimensions of supply chain practices proposed by Li et al (2006) to study its influence on the performance of supply chain which are strategic supplier partnership, customer relationships, level of information sharing and quality of information sharing. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 A.A. Othman, R.Z. Yusoff, M.A. Ismail, and R. Husin – Supply-Chain Strategy and Performance ... 219 Most organizations less focused on developing an effective performance measurement and performance metrics for supply chain management (Gunasekaran et al., 2001). According to Holmberg (2000) states a of problems in measuring the performance of supply chain management is the lack of relationship between strategy and performance measurement, too dependent on the financial figures as key performance indicators, too much isolation and measurements that are not compatible and finally, using the single-firm management style when measuring supply chain. Therefore, measurement of supply chain performance in this study was based on the organization’s strategic goals of the lean, agile or hybrid supply chain. The focus of lean is the elimination of waste and non-value activities, while the focus of agile is meeting customer needs quickly, efficiently (Gunasekaran et al 2008) and the uniqueness of the product (Argawal et al, 2001). Thus, the dimensions of supply chain performance measurement are cost-effective, lead time, innovation, time to market and flexibility to customers. 3. Research Methodology A set of questionnaire was developed to collect data for this study. In order to achieve the objectives of the study, the Malaysian automotive suppliers firms were selected as the population. The database was obtained from lists of suppliers given by automotive makers in Malaysia such as Proton, Perodua, Honda, Isuzu and Suzuki. This list of the suppliers consists of electrical, electronic, metal, plastic, rubber and other automotive components. The supplier firms involved in this study were ranged from medium to big companies, with more than 50 employees. The personnel involved in the survey were those from managing directors, senior managers and senior executives. The questionnaire was consist of four parts; (a) the general information of the organisation (ownership, number of employees, types of product produced and quality system certification), (b) supply chain strategy, (c) supply chain practices and (d) supply chain performance. A questionnaire using a six-point Likert scale was used to gather data for each construct of research model. The prime consideration of the design in this survey instrument was to keep it short and focused in order to obtain an adequate response rate. Questionnaires were designed based on a multiple item adapted from previous study namely Huang et al. (2002), Wang et al. (2004), Vonderembse et al. (2006), Towill and Christopher (2002), Christopher and Towill (2000). The process of developing the questionnaire also included a q-sort procedure. This q-sort procedure was used to improve the items construct placement and also rephrase statement based on the actual respondents. Experts from industries and academics were also consulted. The comments and feedback were analyzed and a few modifications were made. Table 1: Reliability Test Results – all variables Variables Supply Chain Strategy Supply Chain Practices Supply Chain Performance No of Items 18 29 20 Cronbach’s Alpha 0.938 0.969 0.955 In the case of reliability test, Cronbach’s alpha was employed to measure the internal consistency of the research instrument. According to Sekaran (2005), reliability measurement is an indication of the stability and consistency of the instrument. The summaries of the reliability analysis are given in the Table 1. As can be seen from Table 1, all alpha values are above 0.6 as suggested by Nunally and Bernstein. As such we can conclude that the measurements are reliable. 4. Results and Discussions The total numbers of 275 questionnaires were posted in two waves during the months of December 2011 to January 2012 and from February 2012 to March 2012. A total of 67 questionnaires were received. In the first period, the number of questionnaires received back was very low at the response rate of 11.6% only. Increase the number of questionnaires posted in the second period, a total of 45 questionnaires received. Response rate increased to 24.36%. This makes all of their forms can be collected 67 questionnaires. However, 2 questionnaires were rejected due to not valid for analysis. So the final questionnaire can be used for further analysis is 65. This response rate is low but can be adopted based on previous studies in the manufacturing industry in Malaysia, the acceptable range of response rate is 18-26% (Rajagopal, 2006; Thi, 2006; Norani, 2011). Furhermore, non-response bias test was conducted where the results shows in the table 2. These test results confirm that the data were free from non-response bias. In other words, this study not only shows the The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 220 A.A. Othman, R.Z. Yusoff, M.A. Ismail, and R. Husin – Supply-Chain Strategy and Performance ... results of the study sample, but can be used to generalize the entire population of automotive industry in Malaysia. Table 2: Result of Non-Response Bias Test Variables Supply-Chain Strategy Supply-Chain Practices Supply-Chain Performance Wave 1 Wave 2 Mean Mean Levene’s test (N=21) (N=44) 4.72 4.93 F = 0.003 p = 0 .954 4.59 4.60 F = 0.947 p = 0 .334 F = 2.247 p = 0 .139 4.49 4.52 t value t = -1.108 p = 0.272 t = -0.032 p = 0.974 t = -0.152 p = 0.880 4.1. Respondents’ Profile The first aspects to be investigated were the respondents and organizational profile involved in this study. Table 3 shows the respondents profile such as the job position and working experiences in the automotive industry. It was found that the respondents were mainly holding the post manager or higher. Most of them (49.2%) have been involved more than 10 years in the automotive industry. This figure shows they have sufficient knowledge and experience to response the supply chain issues in their company. Table 3: Respondent Profile 1 Position Executive Senior Executive Engineer Assistant Manager Manager Senior Manager Senior Expert Coordinator General Manager Managing Director Director 2 Years of Experiences Less than 5 years Between 5 to 10 years More than 10 years Frequency (%) 11 (16.9) 10 (15.4) 1 (1.5) 4 (6.2) 25 (38.5) 2 (3.1) 1 (1.5) 1 (1.5) 2 (3.1) 2 (3.1) 4 (6.2) Frequency (%) 11 (16.9) 22 (33.8) 32 (49.2) Table 4: Organization Profile 1 Organization Ownership 100% Foreign 100% Local Joint Venture 2 Organization Size Less than 50 employees Between 51 - 150 employees More than 151 employees 3 Types of Products Produced Assembly Metal Component Electronic Component Plastic Component Electrical Component Rubber Component Frequency (%) 10 (15.4) 41 (63.1) 13 (20.0) Frequency (%) 10 (15.4) 15 (23.1) 40 (61.5) Frequency (%) 32 (49.2) 13 (20.0) 4 (6.2) 16 (24.6) 15 (23.1) 13 (20.0) Table 4 shows the profile of organizations involved in the study. It was found that most of the organizations involved in this study is local ownership of 63.1%. Organization with the status of the joint venture is 20% and the rest is completely foreign ownership. Size of the organization referred to the number of employees in the The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 A.A. Othman, R.Z. Yusoff, M.A. Ismail, and R. Husin – Supply-Chain Strategy and Performance ... 221 organization. According to Ying (2006), organizations need to have more than 100 employees to effectively involve in the supply chain activities. It was found that 61.5% of the organizations have more than 150 employees and only 15.4% of the organizations that have less than 50 employees. In terms of products produced, most organizations involved in the assembly of products 49.2%. In addition, the percentage of organizations that produce of plastic components, rubber products, electrical / electronic and metal are respectively 24.6%, 20%, 29.3% and 20%. 4.2. Mediating Effect of Supply Chain Practice towards relationship between Supply Chain Strategy and Supply Chain Performance This test describes the effect of mediation on the relationship between independent variables and dependent variable. Mediating variables in this study is the practice of supply chain, while the independent variables studied were the supply chain strategy. Dependent variable of this study is the performance of the supply chain. This test is performed by using the Enter method of hierarchical regression analysis and according to the rules proposed by Baron and Kenny (1986). 1. Test the influence of independent variables (X) on the mediating variables (M) M = β3 + aX + e3 2. (1) Test the influence of independent variables (X) on the dependent variable (Y), Y = β1 + cX + e1 3. (2) Test the influence of both independent and mediating variables on the dependent variables simultaneously. Y = β2 + c’X + bM + e2 (3) For the above equations, β (beta) is the intercepts (which are ignored), the e represent the model fit errors (which are also largely ignored) while a, b, c and c’ are the regression coefficients show the strength of the relationship between the three types of variables. Evidence for mediation is said to be likely if: a. b. c. d. The term a in equation 1 is significant; there is evidence of a linear relationship between the independent variable (X) and the mediator (M) The regression coefficient c in equation 2 is significant; there is a linear relationship between the independent variable (X) and the dependent variable (Y) The term b in equation 3 is significant, indicating that the mediator (M) helps predict the dependent variable (Y), and; The c’, effect of the independent variable (X) directly on the dependent variable (Y), becomes significantly smaller in size relative to c in equation 2. Based on the hypotesis developed that is “there is a significant mediating effect of supply chain practice on relationship between supply chain strategy, and supply chain performance”. Table 5, 6 and 7 present the results. Table 5: Test result of the influence of independent variables (X) on the mediating variables (M) Unstandardized Coefficients Β SEB Step 1 Standardized Coefficients B t Sig. .825 11.578 .000 M: Supply-Chain Practices X: Supply-Chain Strategy R² .795 .680 Adjusted R2 .675 F Significant F Change .069 134.054 .000 The unstandardized regression coefficient (β = .795) associated with the effect of supply chain practices on supply chain strategy was significant (p < 0.01). Thus, there was an evidence of a linear relationship between supply chain strategy (independent variable) and supply chain practices (mediator variable). Hence the requirement for mediation in step 1 was fulfilled. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 222 A.A. Othman, R.Z. Yusoff, M.A. Ismail, and R. Husin – Supply-Chain Strategy and Performance ... Table 6: Test result of the influence of independent variables (X) on the dependent variable (Y) Unstandardized Coefficients Β SEB Step 2 Standardized Coefficients B t Sig. .679 7.346 .000 Y: Supply-Chain Performance X: Supply-Chain Strategy R² .644 .461 Adjusted R2 .088 .453 F 53.964 Significant F Change .000 The unstandardized regression coefficient (β = .644) associated with the effect of supply chain strategy on supply chain performance was significant (p<0.01). Thus, there was an evidence of linear relationship between supply chain strategy (independent variable) and supply chain performance (dependent variable). Hence, the requirement for mediation in step 2 was fulfilled. Table 7: Test the influence of both independent and mediating variables on the dependent variables simultaneously Unstandardized Coefficients Β SEB Step 3 Standardized Coefficients B t Sig. Y: Supply-Chain Performance X: Supply-Chain Strategy .171 .138 .181 1.238 .220 M: Supply-Chain Practices R² .594 .578 .143 .605 4.145 .000 Adjusted R2 .565 F 17.178 Significant F Change .000 The unstandardized regression coefficient (β = .594) associated with the effect of supply chain practices on supply chain performance was significant (p<0.01). Thus, there was an evidence of a linear relationship between supply chain practices (mediator variable) and supply chain performance (dependent variable). Hence, the requirement for mediation in step 3 was fulfilled. Step 4 required the beta value for supply chain strategy (independent variable) in step 3 (equation 3) to become significantly smaller in size relative to beta value for supply chain strategy (independent variable) in step 2 (equation 2). Hence the requirement for step 4 also held. Since, supply chain strategy (independent variables) in step 3 has no significant relationship (p = 0.220 > 0.05) on the supply chain performance (dependent variable) when the supply chain practices (mediator) was controlled, then there is evidence that the effect of full mediation of supply chain practices on the relationship between the supply chain strategy and supply chain performance. Summary of the regression test results can be shown in table 8 below. Table 8: Summary of the result before and after mediation Supply-Chain Strategy Supply-Chain Practices Dependent Variables: Supply Chain Performance Before Mediation After Mediation 0.679** 0.181 0.605** Conclusion (full mediation) 5. Conclusions This section discusses the results of the hypothesis tested. It was found support for a significant mediating effect of supply chain practice on relationship between supply chain strategy and supply chain performance. This result shows that supply chain strategy had no direct relationship with supply chain performance, but was full mediated by supply chain practices. More specifically, full mediation of supply chain practices have contributed The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 A.A. Othman, R.Z. Yusoff, M.A. Ismail, and R. Husin – Supply-Chain Strategy and Performance ... 223 to the increasing influence of supply chain strategy on the supply chain performance from 46.1% to 57.8%.It was in line with the study by Groote (1994), Fisher (1997), Randall and Ulrich (2001) that found generally profit in the supply chain investments will only be available if there are alignment between supply chain strategy with form of practices. This finding has empirically proved the needs of alignment the strategy with practices in order to improve the supply chain performance. The management should understand and emphasis the important for practice supply chain activities align with the strategy developed before. References [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] Agrawal, M.K. & Pak, M.H. (2001). Getting smart about supply chain management. McKinsey Quarterly, Vol. 2, pp. 22-7. Baron, Reuben M. and David A. Kenny (1986), “Moderator-Mediator Variables Distinction in Social Psychological Research: Conceptual, Strategic, and Statistical Considerations,” Journal of Personality and Social Psychology, 51 (6), 1173-82. Christopher, M. (1998), Logistics and Supply-Chain Management: Strategies for Reducing Cost and Improving Service, Prentice-Hall, London. Christopher, M. & Towill, D. R. (2000). Supply chain migration from lean and functional to agile and customized. Supply Chain Management. An International Journal,5 (4), 206-213 Council of Supply Chain Management Professionals, www.cscmp.org Cooper, M. C., Lambert, D. M., and Pagh, J. D. (1997), “Supply Chain Management: More Than a New Name for Logistics”. The International Journal of Logistics Management, 8(1), pp. 1-14. De Groote, X. (1994), “The flexibility of production processes: a general framework”, Management Science, Vol. 40 No. 7, pp. 933-45. Fisher, M.L. (1997). What Is the Right Supply Chain for Your Product? Harvard Business Review, 75 (2), 105-116. Finch BJ (2006), Operations Now: Profitability, Processes, Performance, McGraw-Hill/ Irwin, Miami, United States. Gunasekaran, A., Patel, C., and Tirtiroglu, E. (2001), “Performance Measures and Metrics in a Supply Chain Environment”, International Journal of Operations and Production Management, 21(1/2), pp. 71-87. Gunasekaran, A., Lai, K., & Cheng, E. (2008). Responsive supply chain: A competitive strategy in a networked economy. Omega, 36 (4), pp.549-564. Huang, S.H., Uppal, M., & Shi, J. (2002). A product driven approach to manufacturing supply chain selection. Supply Chain Management: An International Journal, 7 (2), pp.189-199. Holmberg, S. (2000). A systems perspective on supply chain measurements. International Journal of Physical Distribution and Logistics Management, 30 (10), pp.847-868. Li, S., Ragu-Nathan, B., Ragu-Nathan, T. S., and Rao, S. Subba (2006), “The Impact of Supply Chain Management Practices on Competitive Advantage and Organizational Performance”, Omega, 34(2), pp. 107-124. Mentzer, J. T. (2001), Supply Chain Management, Sage, Thousand Oaks, CA New, S. J. and Payne, P. (1995), “Research Framework in Logistics: Three Models, Seven Dinners and a Survey”, International Journal of Physical Distribution and Logistics Management, 25(10), pp.60-77. Naylor, B. J., Naim, M. M. & Berry, D. (1999). Leagility: Integrating the lean & agile manufacturing paradigms in the total supply chain. International Journal of Production Economics, 62 (1-2), pp.107-118. Norani N et al (2011). Manufacturing Implementation in Malaysian Automotive Industry: An Exploratory Study. Operations & Supply Chain Management 4 (1) pp. 21-30. Rajagopal, Premkumar (2006) Determinants Of Effective Supply Chain Partnering In The Context Of Electrical And Electronics Firms In Malaysia. PhD thesis, Universiti Sains Malaysia Randall, Taylor and Ulrich, Karl (2001). Product Variety, Supply Chain Structure, and Firm Performance: Analysis of the U.S. Bicycle Industry. Management Science 47 (12): 1588–1604. Sekaran, U. (2005). Research Methods for Business: A skill-building approach (4th ed.). NY: John Wiley & Sons. Simchi-Levi, D., Kaminsky, P., and Simchi-Levi, E. (2000), Designing and Managing the Supply Chain, 1st Ed., Irwin McGraw-Hill, New York, NY. Sufian M. Qrunfleh, (2010), Alignment of Information Systems with Supply Chains: Impacts on Supply Chain Performance and Organizational Performance. PhD thesis, University of Toledo Thi, Lip Sam and Ang, Chooi Leng (2006). Adoption of electronic commerce amongst small and medium enterprises. In: Proceedings of Knowledge Management International Conference & Exhibition (KMICE). Universiti Utara Malaysia, Sintok, pp. 295-301. Towill, D., & Christopher, M. (2002). The supply chain strategy conundrum: To be lean or agile or to be lean & agile? International Journal of Logistics: Research & Applications, 5 (3), pp.299 309. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 224 A.A. Othman, R.Z. Yusoff, M.A. Ismail, and R. Husin – Supply-Chain Strategy and Performance ... [26] Vonderembse, M. A., Uppal, M., Huang, S. H., & Dismukes, J. P. (2006). Designing supply chains: Towards theory development. International Journal of Production Economics, 100 (2), pp.223-238. [27] Wang, G., Huang, S. H., & Dismukes, J. P. (2004). Product-driven supply chain selection using integrated multicriteria decision-making methodology. International Journal of Production Economics, 91 (1), pp.1-15. Cite this paper Othman, A.A., Yusoff, R.Z., Ismail, M.A., and Husin, R. (2012). “Supply-Chain Strategy and Performance: Mediating Effect of Supply-Chain Practices,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 217-224. ISBN: 978-979-15458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 Supply Chain Performance Design for an Integrated Solid Waste Management in Bandung City: A Triple Bottom Line Perspective Rucita Cahyawati1,*, Gatot Yudoko1 1 School of Business and Management (SBM) - Institut Teknologi Bandung (ITB), Jl. Ganesha 10 (Gedung SBM-ITB), Bandung 40132, Indonesia Abstract. The City of Bandung, one of big cities in Indonesia, has currently generated 1,800.14 tons of waste per day in 2011. The increasing complexity of solid waste management calls for an Integrated Solid Waste Management (ISWM), an approach that considers activities, aspects, as well as available technological options to deal with the increasing waste generation in a situation of increasing difficulty in finding final disposal sites. As part of the planning process, objectives and their associated performance indicators of solid waste management need to be defined. These objectives can be used for the controlling process later. The purpose of this paper is to design performance indicators for the ISWM in Bandung City. In this paper, we adopt a supply chain system perspective to map the existing practices or activities of solid waste management in the city. Specifically, we will outline these objectives from a triple bottom line perspective to adopt sustainability development vision, which consists of economic viability, social responsibility, and environmental sustainability perspectives. These three perspectives will be explored in each stage of solid waste management activities. In addition, in each stage, we will identify the relevance and importance of each perspective based on any stakeholder’s interest. Keywords: Supply chain, performance, integrated solid waste management, triple bottom line, Bandung city 1. Introduction The most challenging tasks faced by urban government in developing country are planning and management process of municipal solid waste [1]. This condition also happened in Indonesia. Bandung City is one of big city in Indonesia. Bandung city solid waste management process is managed by institutional Bandung PD Kebersihan (Regional Hygiene Company) of Bandung City which organizational structure is one implementing unit of government under the city of Bandung. According to report from PDK,2011 the city of Bandung each day produce as much as 7,500.58 m3 or 1.800,14 tons of waste every day and can only be served around 65% and the rest can’t be processed [8]. Waste that can’t be processed will be accumulated and will cause a serious problem in the future. * Corresponding author. E-mail address: [email protected] 226 R.C. Putri and G. Yudoko – Supply Chain Performance Design ... Supply chain process will be adopted in this study, to mapping the existing practices or activities of solid waste management in Bandung city. The supply chain will be started from the household level until the final disposal level. This process will help us to understand the flow of solid waste management system in Bandung city. This study also will be provided the supply chain process from solid waste management in Bandung city with a triple bottom line perspective. Triple bottom line perspective divided into three different aspects: the environmental, social and economic as the “three legs of sustainability [2]. Nowadays, Bandung City government still tries to solve the waste problem that occurred. By knowing the supply chain process in which can be determined the process and the activity related to solid waste management in Bandung city, it can help to provide solutions to overcome the problem of waste that still occurs currently. By applied the triple bottom line while mapping the supply chain process related to waste management in Bandung city, will give us a broader perspective about solid waste management condition in Bandung city nowadays. This study aims to give a broader perspective about solid waste management condition in Bandung city by using a triple bottom line perspective. 2. Literature Review Process of supply chain is occurring in waste management system. Stages of the ISWM chain include source separation, collection and transportation, transfer stations and material recovery, treatment and resource recovery, and fi nal disposal [3]. According to PD Kebersihan the supply chain process start from the source of waste (household, industry, etc) then go to temporary waste disposal and the last transport into final disposal. While do the supply chain process in waste management system there were an actor and also several activities there. The actor and also the activities can be different in each level (neither in level of source, temporary disposal until final disposal level). During the last decade the term of triple bottom line has been used as a paradigm to appraise the success of an organization. It is defined as the balance of sustainability for three different aspects: the environmental, social and economic as the “three legs of sustainability” [2]. Triple bottom line also well known as non-financial reporting, which aims to present the economic, environmental and social performance of an organization in a balanced and comprehensive way, this is a term coined by Elkington (1997) [4]. Nowadays, more than half of the global Fortune 500 companies and almost half of Standard & Poor’s 100 companies issue TBL reports [5]. Based on the principle of triple bottom line, enterprises around the globe (due to globalization) have started to be concerned about the degree of their company’s success defined as sustainable development and have associated progress with implications on quality of life[6]. By focusing on comprehensive investment results that is, with respect to performance along the interrelated dimensions of profits, people and the planet, triple bottom line reporting can be an important tool to support sustainability goals [7]. 3. Research Methodology This study used, both of primary and secondary sources of information are used. Primary data sources include an interview with Junior Researcher at PD Kebersihan, various heads of the Regional Area, staff of PD Kebersihan. Field observation also held at a various regional area (West and North area). For the secondary data sources include reports from the PD Kebersihan and also from local government. 4. Operational Research Basically supply chain process in waste management system in Bandung city, divided into three stages, first stage is source of waste, second is temporary waste disposal and the last one is final disposal. Sources of waste in Bandung city divided into five different source, resident or household, commercial areas, industrial zone, street sweeper, and other facilities and office. Resident or household in Bandung city have the biggest amounts rather than other sources of waste, household can produces waste around 1,188.48 ton for each day. Waste management system in Bandung city was hold by PD Kebersihan Bandung City. PD Kebersihan Bandung city only have a responsibility in collecting and transport the waste from temporary disposal into final disposal. Figure 1 will show the operational supply chain system and also actor and activities in each level of supply chain process related to waste management system in Bandung city. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 R.C. Putri and G. Yudoko – Supply Chain Performance Design ... 227 Figure 1. Supply chain system diagram of municipal solid waste management in Bandung city We can see according to Figure 1. there were a different actor and also activities in each level of supply chain system in waste management in Bandung city. At level of source of waste, process of waste transport from the source of waste into the temporary disposal, sometimes not became a PD Kebersihan responsibility. For household, process of collecting and also transport into temporary disposal became residents responsibility, PD Kebersihan only have a responsibility to pick up the waste from temporary disposal into final disposal. This is also happened in street sweeper, the process to collecting the waste being held by the street sweeper crew, then the process to transport it into temporary disposal also held by street sweeper crew and then PD Kebersihan will pick up it and transport it into final disposal. Different condition with other source from commercial areas, industrial zones, and other facilities, sometimes PD Kebersihan directly pick up the waste in their area and transport it into final disposal, this is according to the agreement between PD Kebersihan Bandung city with them. The operational research related with each supply chain process in waste management system in Bandung City can be different in each stage. First stage in supply chain system for municipal solid waste management in Bandung city is waste generation activity. Table 1 will explain about the operational research for waste generation activity. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 228 R.C. Putri and G. Yudoko – Supply Chain Performance Design ... Table 1 Operational research for waste generation activity Activity : Waste generation Stakeholder/Actor Household/Resident Triple Bottom Line Perspective Economic people sold it to the informal sector; making compost manure from organic waste Commercial Area /hotel, restaurant, market, stores Composting from organic waste Industrial zones/Industrial areas - Street sweeper/Street sweeper crew - Other facilities and offices/hospital - Social Campaigns among the general people about cleanliness, public health and about 3R process Education and socialization regarding about organic waste treatment Education and socialization regarding about hazardous and non-hazardous waste from industrial zones and how to treat it Good aesthetics aspect for the main street Education and Socialization about hazardous waste that can produced from hospital and how to treat it Environment Implemented the 3R process (reduce, reuse, recycling) Centre to do the composting process by using the waste from traditional market; Implemented the 3R process Separation between hazardous and nonhazardous waste and also special treatment for hazardous waste Street sweeper help to keep the main street in clean and also reduce possibility main street flooded when rainy season Separation between hazardous and nonhazardous waste and also special treatment for hazardous waste Next stage in supply chain system for municipal solid waste management in Bandung city is waste collection activity. This activity was being held by individual indirect and also by PD Kebersihan Bandung city. Table 2 will explain about operational research for waste collection activity. Table 2 Operational research for waste collection activity Activity : Waste Collection (from Source to Temporary disposal site) Stakeholder/Actor Individual indirect collection PD. Kebersihan (Regional Hygine Company) Bandung City Triple Bottom Line Perspective Economic Selling buying process with informal sector cooperation with related parties who use the services of PD. Kebersihan Social Access for informal sector Education and socialization about procedure related with waste distribution Environment Awareness to do separation of waste Implemented of waste separation process Aesthetics aspect related with transport vehicles Table 3 will explain about the last stage in supply chain system for municipal solid waste management in Bandung city is waste distribution activity. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 R.C. Putri and G. Yudoko – Supply Chain Performance Design ... 229 Table 3 Operational research for waste distribution activity Activity : Waste Distribution (from Temporary disposal site to Final Disposal site) Stakeholder/Actor PD. Kebersihan (Regional Hygine Company) Bandung City Triple Bottom Line Perspective Economic Access for private company to provide transport vehicles Social Education and socialization to crew about procedure related with waste distribution Aesthetics aspect related with transport vehicles Private company Opportunity to have a cooperation agreement with PD. Kebersihan to provide transport vehicles Education and socialization to crew about procedure related with waste distribution Environment Separate process between hazardous waste distribution and nonhazardous waste distribution Separate process between hazardous waste distribution and nonhazardous waste distribution 5. Result and Discussion The real condition related with municipal solid waste management in Bandung city will be showed in this part. Table 4 will explain the real condition for waste generation activity. Table 4 Real condition for waste generation activity in Bandung City Activity : Waste generation Stakeholder/Actor Household/Resident Commercial Area /hotel, restaurant, market, stores Industrial zones/Industrial areas Street sweeper/Street sweeper crew Triple Bottom Line Perspective Economic Citizen usually sold some inorganic waste to the informal sector, but awareness to make compost still low Social PD.Kebersihan and Bandung city government already make some campaign related with waste Environment Awareness from citizen to do 3R and waste separation still low. Some of traditional market in Bandung city already did composting from organic waste (Gedebage traditional market) - PD.Kebersihan and Bandung city government already give socialization regarding about organic waste treatment In Gedebage traditional market already did the 3R process Education and socialization regarding about hazardous and non-hazardous waste from industrial zones and how to treat it - Good aesthetics aspect for the main street Industrial zones in Bandung city already implemented the separation process between hazardous and nonhazardous waste and also special treatment for hazardous waste Street sweeper in Bandung city already keep the main street in clean and also help to reduce possibility main street flooded when rainy season The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 230 R.C. Putri and G. Yudoko – Supply Chain Performance Design ... Table 4 Real condition for waste generation activity in Bandung City Activity : Waste generation Stakeholder/Actor Other facilities and offices/hospital Triple Bottom Line Perspective Economic - Social Education and socialization already implemented and also there were different final disposal between hazardous and non-hazardous waste treat it Environment Hospital in Bandung city already implemented the separation process between hazardous and nonhazardous waste and also special treatment for hazardous waste According to Table 4 the problem is occurred in household level where the awareness from citizen to do a 3R and waste separation process still low. There were no information about economic perspectives related with waste from industrial zones and other facilities. For street sweeper there was no economic perspective. Specific treatment for hazardous and non-hazardous waste form industrial zones or hospital already implemented. There were a different final disposal for hazardous and non-hazardous waste, and industrial and hospital already did a separation process between types of waste. Next activity is waste collection. Table 5 will explain the result of real condition for waste collection activity in Bandung city. Table 5 Real condition for waste collection activity in Bandung City Activity : Waste Collection (from Source to Temporary disposal site) Stakeholder/Actor Individual indirect collection PD. Kebersihan (Regional Hygine Company) Bandung City Triple Bottom Line Perspective Economic Informal sector can do a buying and selling process Social Access for informal sector to take a part in collection process Environment Still lack of awareness to do separation of waste cooperation with related parties (company, hospital) who use the services of PD. Kebersihan PD. Kebersihan already give some education and socialization to their crew related with good procedure for waste collection process waste separation process already held in some areas (like hospital, hazardous and non-hazardous waste) Aesthetics aspect related with transport vehicles (truck), the condition of truck mostly has no cover We can see the real condition for waste collection activity in Bandung City in Table 5. Activity of waste collection held by individual indirect collection and by PD. Kebersihan Bandung city. The process that being held by individual indirect collection mostly for household waste. From resident waste collection held by themselves, PD. Kebersihan Bandung city did not take responsibility for that. The process that being held by PD. Kebersihan in waste collection activity is waste that source from commercial area, industrial zone. According to Table 5 there were some problem that still occur in this activities, such as in individual indirect collection actor there was still lack of awareness to do separation of waste, citizen mostly only store their household waste into a plastic bag and then put it into in front of their door. In PD. Kebersihan (Regional Hygiene Company) Bandung City, the problem that still occur are related with the aesthetics aspect, condition of transport vehicles in Bandung city to transport the waste mostly has no cover and it will cause the waste can be splattered around the road. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 R.C. Putri and G. Yudoko – Supply Chain Performance Design ... 231 Table 6 Real condition for waste distribution activity in Bandung City Activity : Waste Distribution (from Temporary disposal site to Final Disposal site) Stakeholder/Actor PD. Kebersihan (Regional Hygine Company) Bandung City Triple Bottom Line Perspective Economic There was cooperation agreement with private company to provide transport vehicles Social PD. Kebersihan already give an education and socialization to crew about procedure related with waste distribution Environment The separation process between hazardous waste distribution and nonhazardous waste distribution already held Aesthetics aspect related with transport vehicles (truck), the condition of truck mostly has no cover Private company Access for private company to provide transport vehicles Private company with PD. Kebersihan give an education and socialization to crew about procedure related with waste distribution The separation process between hazardous waste distribution and nonhazardous waste distribution already held According to Table 6 we can see that there was an opportunity to hold a cooperation agreement between PD. Kebersihan and private company to provide transport vehicles (truck). The problem still occurred in social perspective, condition of transport vehicles (truck) mostly has no cover, and it will cause waste can be splattered around the road. Since 1995, the government of Indonesia has regulated hazardous waste landfill criteria, and according to Table 6 we can see that both PD. Kebersihan and also private company already held a process separation between hazardous waste distribution and non-hazardous waste distribution it was divided into different final disposal. 6. Conclusions This study aims to give a broader perspective related with solid waste management in Bandung city by used a trile bottom line perspective in each stage of supply chain in solid waste management. There were still lack of information about a few of triple bottom line perspective in each stage. Some problem still occurred in each stage. In waste generation activity the problem is still lack of awareness from citizen to do 3R and also waste separation, this will gave a bad impact in environment. In second activity, waste collection we still see a same problem related with waste generation activity, lack of awareness to do a separation process. Government must take a serious consideration related with the condition of transportation vehicles, mostly it is already old and not used some cover. This will give a bad impact not only for aesthetics but also for health. Process of solid waste management process in Bandung city if seen by triple bottom line perspective still have some weakness such as, lack of awareness to do a 3R and separation waste process, condition of the transport vehicles. Bandung city government must take a serious attention related with this. Solid waste management problem will give a bad impact, not only for health but also for environment. The effect can be some contagious diseases (i.e., diarrhea, typhus), beside that solid waste management problem also can caused a disaster (i.e., flood, landslide). Well defined strategy related with solid waste management is needed. 7. Further Research Further works are needed to find a well-defined solid waste management in Bandung city based on the triple bottom line perspective. There a few parts in triple bottom line perspective still not explore. A depth exploration will help to improve the perspective and give a broader perspective in the future. There is an urgent need for a well-defined strategic waste management plan and a strong implementation of the same. Not only a well-defined solid waste management but also applicable. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 232 R.C. Putri and G. Yudoko – Supply Chain Performance Design ... Acknowledgements We would like to express our grateful to all of the OPM team members and also PD. Kebersihan Bandung city for helping and supporting us while did this research. References [1] [2] [3] [4] [5] [6] [7] [8] Yudoko, G. (2004). “Integrated municipal solid waste planning and management (IMSWPM) in developing countries: a conceptual framework,” Journal Management Technology MBA-ITB, pp. 23- 35. Newport, D., Chesnes, T. and Lidner, A. (2003), “The environmental sustainability problem ensuring that sustainability stands on three legs”, International Journal of Sustainability in Higher Education, Vol. 4 No. 4, pp. 357-63. Memon, M. (2010). “Integrated solid waste management based on the 3R approach”. Journal Mater cycles Waste Management, Volume 12, pp.30-40. Elkington J. (1997). “Cannibals with forks: the triple bottom line of the 21st century”. Capstone Publishing, Oxford Mintz, S. (2011). “Triple bottom line reporting for CPAs, challenges and opportunities in social accounting.” The CPA Journal, December 2011, pp. 26-33. Hall, J. and Matthews, E. (2008), “The measurement of progress and the role of education”. European Journal of Education, Vol. 43 No. 1, pp. 11-22. Slaper, T., Hall, T. (2011). “The triple bottom line: what is it and how does it work?” Indiana Business Review, Spring 2011, pp. 4-8. Perusahaan Daerah Kebersihan (PDK) Kota Bandung, Bandung, West Java, unpublished data, 2011. Cite this paper Putri, R.C., and Yudoko, G. (2012). “Supply Chain Performance Design for an Integrated Solid Waste Management in Bandung City: A Triple Bottom Line Perspective,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 225-232. ISBN: 978-979-15458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 Relationship Orientation of Supplier-Manufacturer and Sourcing Project Success: Partial Least Squares Analysis Mohamad Ghozali Bin Hassan1,*, Asmat Nizam Bin Abdul Talib1, Mohd. Rizal Bin Razalli1, Noor Aziani Binti Harun1 1 School of Technology Management and Logistics (STML) - College of Business (CoB) - Universiti Utara Malaysia (UUM), Sintok 06010, Kedah Darul Aman, Malaysia Abstract. The purpose of the current study was to investigate the relationship between relational-oriented exchange and outsourcing success of supplier-manufacturer relationship within Malaysia. This study used the partial least squares (PLS) and structural equation modeling (SEM) tool to test the hypotheses. The data was gathered from a postal survey of 865 electrical & electronics sub-sector, of which 216 respondents participated in this study. The result indicated that relationaloriented exchange was positively related to the outsourcing success. Implications of the findings are further elaborated. Keywords: Strategic relationship, supplier-manufacturer relationship, performance, outsourcing success, Malaysia 1. Introduction The focus of this research is on the relationships of strategic, outsourcing success, and the performance of the relationship. A questionnaire survey is used to identify how suppliers deal with manufacturers. Data is collected by a postal survey from the electrical & electronics sub-sector (E&E). Therefore, the main goal of the study is identified as: To determine the positive relationship between supplier-manufacturer relationship with the sourcing project success in terms of strategic performance. Evidence suggests that firm performance is affected by its abilities to integrate, build, and reconfigure resources. This process is referred to as dynamic capabilities [1]. In particular, dynamic capabilities have been used to explain why firms in the same industry perform differently. For example, [2] suggest that dynamic capabilities are embedded within firms and consist as a set of specific and identifiable strategic and organizational routines. [3] found that firms with a dedicated capability to manage inter firm relationships generated substantially higher market value than firms without such capability. Stated differently, companies that systematically invest in developing the ability to manage supplier-manufacturer relationship consistently perform better than others that choose not to make such investments. Accordingly, it can be expected that * Corresponding author. Tel.: + 60-13-405-6721; Fax: +60-4-928-6860 E-mail address: [email protected] 234 M.G. Hassan, A.N. Abdul Talib, M.R. Razalli, and N.A. Harun – Relationship Orientation of Supplier-Manufacturer ... investments in development of relational-oriented exchange will reduce coordination and integration costs, and improve the synergistic benefits available through outsourcing success. 2. Research Context and Research Model 2.1. Outsourcing Success Outsourcing should have a specific goal as an objective with a measurable outcome. Successful outsourcing refers to what implementation factors the company undertakes in order to achieve its objectives, goals and expectations [4]. Organizations would be asked to identify their most specific goals or projected benefits to indicate improvement achieved as a result of the out-sourcing effect. The present research choices included: financial performance and strategic performance of outsourcing efforts, which were suggested by several authors [5] [6] [7]. Traditionally, financial data has been considered as the basis for organizational decision-making for a long time; however, managers have no idea of the utility of non-financial data for improving decision making [8]. This research will introduce Kaplan and Norton’s balanced scorecard, the mixed method of assessing outsourcing success using both financial and non-financial data. 2.2. Relational-Oriented Exchange In this study, relational exchange refers to durable relationships in terms of principles and norms which govern the behavior of two parties. Following previous scholars [9] [10], this study defines relational-oriented exchange as “the extent of long-term supplier-manufacturer relationship of electrical and electronic industry that are managed primarily by relational norms and ethical principles”. The norms and principles are as means of relationship control and coordination. The definition differs from other types of relationships like vertical integration, power hegemony or a market relationship. This is because of the co-existence of understood continuity agreements, cooperation norms and action procedures. Figure 1 shows the research model. H1: Relational-oriented exchange has a significant positive impact on outsourcing success Fig. 1: Research model The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 M.G. Hassan, A.N. Abdul Talib, M.R. Razalli, and N.A. Harun – Relationship Orientation of Supplier-Manufacturer ... 235 3. Research Method A survey method is commonly used in majority of empirical studies. [11] explained that survey method encompasses broader population study on larger sample size. It is relatively easy to be administrated and incurs moderate cost. Internet survey, phone interview, e-mail survey and postal survey have been considered to be employed to the targeted respondents in this study. Given such advantage, researcher can study more variables. Survey findings can be statistically tested to generalize real world environment. The disadvantages of a survey include the potential lack of response from respondents; instruments for testing variables are largely based on perception and only cross sectional studies can be conducted at one point in time. Based on the advantage and disadvantage analysis, the survey method was used in this study in the researcher attempts to understand a broad population of Malaysia’s electrical and electronic industries. 3.1. Data Collection A total postal survey is sent out to 865 respondents in two waves during the months of September to November 2011 and from December 2011 to January 2012. A total of 218 were received and used to analysis which translates to about 25.2% response rate. The first wave yields 147 responses and the second wave yielded 71 responses. 3.2. Measures and Assessment of Goodness of Measures Overall the questionnaire has been categorized into three sections: general information about the organization, the relational orientation of the exchange in that it enhances the relational orientation by supplier, and respondent’s profile. A questionnaire using a seven-point Likert scale was used to gather data for each construct of the research model. All instruments were adapted from previous literatures and were modified to measure the performance. Questionnaires were designed based on a multiple item measurement scale adapted from previous research namely [12] [13] [14] and [15]. 3.3. Goodness of Measures Validity and reliability are the two main criteria used for testing goodness of measures. Validity is a test of how well a developed instrument measures the particular concept it is intended to measure while reliability is a test of how consistently a measuring instrument measures whatever concept it is measuring whereas. 3.4. Measurement Model Table 1: Measurement Model: Convergent Validity Construct Outsourcing Success Relational-Oriented Exchange Item Loading AVE a CRb PF47 PF48 PS49 PS50 PS51 PS52 PS53 PS54 PS55 PS56 PS57 PS58 PS59 PS60 PS61 PS62 0.701 0.705 0.816 0.872 0.857 0.895 0.921 0.907 0.925 0.928 0.925 0.918 0.853 0.850 0.873 0.884 0.752 0.980 RO63 RO64 RO65 RO66 RO67 RO68 RO69 RO70 0.936 0.910 0.901 0.938 0.934 0.921 0.905 0.896 0.842 0.977 a Average Variance Extracted (AVE) = (summation of the square of the factor loadings)/{( summation of the square of the factor loadings) + (summation of the error variances)} b Composite Reliability (CR) = (square of the summation of the factor loadings)/{(square of the summation of the factor loadings) + (square of the summation of the error variances)} The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 236 M.G. Hassan, A.N. Abdul Talib, M.R. Razalli, and N.A. Harun – Relationship Orientation of Supplier-Manufacturer ... First we tested for convergent validity which is the degree to which multiple items used to measure the same concept are in agreement. This was assessed through factor loadings, composite reliability and average variance extracted [16]. As seen in Table 1, all item loadings exceeded the recommended value of 0.6 [17]. Composite reliability (CR) values, which depict the degree to which the construct indicators indicate the latent construct, exceeded the recommended value of 0.7 [16] while average variance extracted (AVE) which reflects the overall amount of variance in the indicators accounted for by the latent construct, exceeded the recommended value of 0.5 [16]. Next we proceeded to test for discriminant validity - the extent to which the measures are not a reflection of some other variables and it is indicated by the low correlations between the measure of interest and the measures of other constructs [18]. As shown in Table 2, the correlations for each construct is less than the square root of the AVE by the indicators measuring that construct indicating adequate discriminant validity [19]. In total, the measurement model demonstrates adequate convergent validity and discriminant validity. Table 2: Measurement Model; Discriminant Validity Outsourcing Success ROE Outsourcing Success ROE 0.867 0.618 0.918 Diagonals (in bold) represent the square root of the AVE while the other entries represent the correlations. 3.5. Structural Model Fig. 2: Results of PLS analysis The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 M.G. Hassan, A.N. Abdul Talib, M.R. Razalli, and N.A. Harun – Relationship Orientation of Supplier-Manufacturer ... 237 Overall, the results of the correlation analysis revealed that dimension between ROE and outsourcing success was significant. The results of the correlation analysis suggest that high level of ROE attributes are related to high level of outsourcing success. This study hypothesized that ROE has a significant positive relationship with outsourcing success (hypothesis 4). The variance in the outsourcing success is explained by relational-oriented exchange. Specifically, this study found that outsourcing performance in terms of implementation factors the company undertakes in order to achieve its objectives, goals and expectations may be enhanced through strategic relationships. Following the assessment of the measurement model, the hypothesized relationships in the structural model are tested. The results of the analysis are depicted in Figure 1 and Table 3. The results indicated that Strategic Relationship (β = 0.618, p< 0.05) are positively related to Performance, explaining 38.2% of the variance present in Performance. The results provide sufficient evidence to support the hypotheses H1 tested in this study. Table 3: Path coefficients and Hypothesis Testing β Hypothesis H1 ROE –> Outsorcing Success 0.618 Std. Error 0.050 t value 12.311 Decision Supported 4. Discussion and Conclusion This study contributes to the identification of supplier-manufacturer relationship dimensions on whether that relationship impacts upon organizations’ outsourcing success. The dimensions include process and structure. Specifically, first, this study suggests that improvement in the supplier revenue may be achieved through relationship quality between supplier and manufacturer. Second, the improvement in the strategic perspective or internal process performance may be achieved through relationship quality between suppliermanufacturer. These findings would help managers to develop effective strategies or practices and decide the appropriate level of investment in outsourcing management. Therefore, the significant results on the relationship of relational-oriented exchange and outsourcing success variable in the Malaysia electric and electronic industry sample are consistent with relational view theory and confirm previous study that relational-oriented exchanges enhance outsourcing performance. An extensive of inter-organizational relationship performance literature agrees that relational-oriented exchange reduce the level of conflict, refrain from relationship-damaging behaviour and increase consistency in financial result and cooperative behaviour. The researchers argue that strategic relationship can contribute to improving economically efficient exchange relationships under conditions of uncertainty and ambiguity and therefore should lead to outsourcing success. References [1] Teece, D.J., G. Pisano, and A. Shuen (1997), Dynamic capabilities and strategic management. Strategic Management Journal, 18(7): p. 509-533. [2] Helfat, C.E. and M.A. Peteraf (2003), The dynamic resource-based view: capability lifecycles. Strategic Management Journal, 24(10): p. 997-1010. [3] Kale, P., J.H. Dyer, and H. Singh (2002), Alliance capability, stock market response, and long-term alliance success: the role of the alliance function. Strategic Management Journal, 23(8): p. 747-767. [4] Emulti, D. (2003), The Perceived Impact of Outsourcing on Organizational Performance in Mid-American. Journal of Business, 18(2): p. 33-37. [5] Bender, P. (1999), Cashing in on competition. Outsourcing Journal. [6] Jennings, D. (1996), Outsourcing opportunities for financial services. International Journal of Strategic Management, 29(3): p. 93-403. [7] Quinn, J.B. (1999), Strategic Outsourcing: Leveraging Knowledge Capabilities. Sloan management review, 40(4): p. 9-21. [8] Lawrie, G. and I. Cobbold (2004), Third-generation balanced scorecard: Evolution of an effective strategic control tool. International Journal of Productivity and Performance Management, 53(7): p. 611-623. [9] Lambe, C.J., R.E. Spekman, and S.D. Hunt (2000), Interimistic relational exchanges: conceptualization and propositional development. Journal of the Academy of Marketing Science, 28(2): p. 212-225. [10] Macneil, I.R. (1980), The new social contract: An inquiry into modern contractual relations. New Haven: Yale University Press. [11] Bryman, A. and E. Bell (2003), Business Research Methods. New York: Oxford University Press. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 238 M.G. Hassan, A.N. Abdul Talib, M.R. Razalli, and N.A. Harun – Relationship Orientation of Supplier-Manufacturer ... [12] Ganesan, S. (1994), Determinants of long-term orientation in buyer-seller relationships. Journal of Marketing Research, 58(April): p. 1-19. [13] Morgan, R.M. and S.D. Hunt (1994), The commitment-trust theory of relationship marketing. Journal of Marketing, 58(3): p. 20. [14] Mohr, J. and R. Pekman (1994), Characteristics of partnership success: partnership attributes, communication behavior, and conflict resolution techniques. Strategic Management Journal, 15: p. 135-152. [15] Noordewier, T.G., G. John, and J.R. Nevin (1990), Performance Outcomes of Purchasing Arrangements. Journal of Marketing, 54(4): p. 80-93. [16] Hair, J.F., et al. (2010), Multivariate data analysis. Upper Saddle River, NJ: Prentice-Hall. [17] Chin, W.W., A. Gopal, and W.D. Salisbury (1997), Advancing the theory of adaptive structuration: the development of a scale to measure faithfulness of appropriation. Information Systems Research, 8(4): p. 342-367. [18] Cheung, C.M.K. and M.K.O. Lee (2010), A theoretical model of intentional social action in online social network. Decision Support Systems, 49(1): p. 24-30. [19] Fornell, C. and D.F. Larcker (1981), Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1): p. 39-50. Cite this paper Hassan, M.G., Abdul Talib, A.N., Razalli, M.R., and Harun, N.A. (2012). “Relationship Orientation of SupplierManufacturer and Sourcing Project Success: Partial Least Squares Analysis,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 233-238. ISBN: 978-979-15458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 Humanitarian Logistics in the Merapi Volcanic Eruption 2010: A case study on MER-C Yogyakarta Thontowi A. Suhada1,*, Boyke R. Purnomo2,* 1 Center for Economic and Public Policy Studies (CEPPS/PSEKP) - Universitas Gadjah Mada (UGM), Jl. Teknika Utara, Bulaksumur, Yogyakarta 55281, Indonesia 2 Faculty of Economics and Business (FEB) - Universitas Gadjah Mada (UGM), Jl. Sosio Humaniora no. I, Bulaksumur, Yogyakarta 55281, Indonesia Abstract. The eruption of Mount Merapi in Yogyakarta in 2010, causing 34 people dead, 58 injured and more than 40.000 people were evacuated. The total losses incurred more than 3,5 trillion rupiah (BNPB, 2010). This study aims to explore the practices of humanitarian logistics during the eruption of Mount Merapi in 2010. The focus of analysis is to map out strategies, processes, flows and the parties involved in the humanitarian logistic during the eruption. Further, the study examine the management of supply chain drivers such as facility, inventory, transportation, information, and sourcing. This study was conducted at the humanitarian organization named MER-C Yogyakarta. Interviews were conducted to the key personnel involved in humanitarian logistics management, both in administrative and operational side. Observations and documents reviews were used as a supporting method as well as triangulation in this study. The findings is the use of responsiveness as a core strategy in humanitarian logistics management. Facilities and inventory locations be placed close to the beneficiaries. Inventory was managed by anticipatory buying in bulk at the beginning, although on some items turned over supply. Flexibility used to manage transportation modes and routes, and information was managed using a reactive-pull system and anticipatory-push system. Further, decisions about sourcing medical logistic was conducted using an integrated approach. Even though responsiveness is becoming main strategy, but some activities carried out in-house to improve the cost effectiveness. Finally, the logistics and supply chain drivers management has been in line with organizational goals. Keywords: humanitarian logistics, supply chain drivers, supply chain management, Mount Merapi eruption 2010 1. Introduction The disaster of Mount Merapi eruption is one typical incident with the level of highly repeated accident. On average, eruption of Merapi commonly take place four yearly (Surono, 2011 in Solopos team and Harian Jogya, 2011). Mount Merapi is one of the most active volcanoes in Indonesia and is located in one of the most densely populated region in the world (Smithsonian Institution Global Volcanism Program, 2011). * Corresponding author. Tel.: +62-81-227-286-334 E-mail address: [email protected] and [email protected] 240 T.A. Suhada and B.R. Purnomo – Humanitarian Logistics in the Merapi Volcanic ... The Mount Merapi eruption 2010 was causing the sufferings of the victims and loss of ability to selfsuffice their own needs. The flow of humanitarian aid to the casualties created a course of goods and services from the original location (inventory locations) to the targeted location (beneficiary location). To distribute the humanitarian aid effectively and efficiently, humanitarian organizations require a better logistics management. However, although management science has been systematically studied since the middle of the 20th century, the application of coordinating disaster and emergencies is rarely found (Alexander, 2002). Emerges an approach of supply chain management to face the disaster and emergencies that is called Humanitarian Logistics (HL). In many cases of disaster occurrence, the contribution of humanitarian organizations is very significant. During the implementation of HL, logistics cost contributes 80% of the total humanitarian organization costs. That is why, it is not surprising if humanitarian organization is interested to apply the principle of supply chain management in its operation (Tomasini and Van Wassenhove, 2009). As a humanitarian organization located in Yogyakarta, Medical Emergency Rescue Committee (MER-C) runs HL in distributing its aids to some beneficiaries that are related to Merapi eruption. MER-C is a humanitarian organization that works on the field of medical emergencies and which has six principles; trustworthy, professional, neutral, independent, voluntary, and highly mobile. Since the period of emergency responses, MER-C has actively given aids to casualties of Merapi eruption. MER-C distributed its medical aids in the form of health aid (medicine, medical service, and medical stuff) and non-medical aids (rice, foods, used clothes, and blankets) to beneficiaries’ locations throughout Yogyakarta province. Considering the potential of the disastrous repetition, HL becomes important, not only on the conceptual level but also on its application. This research is also aimed at exploring the practice of HL drivers upon the eruption of Merapi through the perspective of supply chain management. 2. Literature Overview 2.1. Supply Chain Management Supply chain is dynamic and involves the constant flow of information, product, and funds between different stages (Chopra and Meindl, 2004). The performance of the supply chain depends on the interaction of each supply chain drivers. Those drivers can also be used to elaborate and support specific supply chain objectives. That is way formulation and arrangement of every driver will determine the effectiveness of supply chain strategy. According to Chopra and Meindl (2004), there are six drivers which play a significant role in the supply chain management: Facilities. Defined as physical form of location in supply chain where goods are managed or stored. Facilities can also mean location where to or from where a supply is distributed. Facilities can be place for production or storehouse. Inventory. Defined as all raw materials, a semi-finished goods or finished goods that will pass through the supply chain. Transportation. Defined as modes and routes. Mode is where product moves from one location to another. Modes are land, sea or air. While route is a decision whether goods are directly distributed to the beneficiary locations or through consolidation point first. Sourcing. Defined as an option of who will carry out one activity of supply chain. The activity includes production, storage, transportation and information. Information. Defined as the relation between parties or the stages of supply chain that allows them to coordinate each other. Pricing. Defined as how much cost should be spent out by the customers to obtain the good. For HL context, this driver probably not relevant, because the aids (inventory and services) that are distributed through HL do not charge any cost to the beneficiaries. To achieve organization objective during uncertainty environment, an organization requires a appropriate strategy to be able to distribute products and services from one place to another, for many type of customers, while at the same time creating profit or restraining the persistency of the company’s operation. Chopra and Meindl (2004) state that there are two types of supply chain strategy, responsiveness and cost effectiveness. Responsiveness defined as the ability to serve the demand in quantity, uncertainty level, and large area, by attempting to reach short lead times but with high level of service. Usually, the increasing level of responsiveness will come along with the increase in operation cost. Whereas, cost effectiveness is defined as an effort to make and deliver product to customer using minimum cost as possible. To select an appropriate strategy, organization may consider some issues, such as the scope of operation, organization vision and mission, The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 T.A. Suhada and B.R. Purnomo – Humanitarian Logistics in the Merapi Volcanic ... 241 characteristic of targeted consumers, level of environment uncertainty, regulation, etc. This strategic choice will influence the design of the supply chain driver. 2.2. Humanitarian Logistics (HL) Gupta and Mahadevan (2005) defines HL as the process of planning, executing, and arranging efficiency, effective cash flow, provision of material goods in accordance with information from the inventory location to the consumption/ beneficiaries location at the aim of helping the suffering people. The function of HL includes the range of activities including preparing, planning, reserving, transporting, storing, tracing and cleaning (Thomas, 2004). Federal Emergency Agency as quoted by Aslanzadeh et al., (2009), classifies aspects of logistics activity into some assignments: (1) fulfilling the casualties’ need rapidly; (2) giving aids, services, equipments, transportation and facility support for responder; (3) integrating federal politic system in where the disaster takes place; (4) controlling and making inventory of property; (5) maintaining logistic full readiness upon the period of disaster and non-disaster. 2.3. The Differences of Commercial Supply Chain and HL Based on its purpose, commercial supply-chain used by business organization that encourages participants to give product or services with a certain quality, time, and cost to obtain benefits in the form of profit. In HL, the purposes are to provide aids to casualities effectively and efficiently (Thomasini and Wassenhove, 2009). Based on that purposes, there are different parties involve in the supply chain, as shown in figure 1 below. Fig. 1: The flow of commercial supply chain and Humanitarian Logistics Source: Adopted from Chandra (2005) in Aslanzadeh et all. (2009) On commercial supply chain, suppliers usually consist of companies that provide raw material, component or semi-finished good to be used by the commercial organization to provide product or services to the customers. Commercial organization may use some distributor to reach the customers. Customers will pay to get product or service from commercial organization. While on HL, humanitarian organization may deal with organization that supply items related to disaster and also donors that provide donation in term of money, goods, and skills. Humanitarian organization will arrange the input from supplier and donator, and then distribute to the beneficiaries based on the beneficiaries needs. There will be no earned income from that process. Based on the demand pattern, HL has specific characteristic that differentiate it from commercial supply chain. HL has more uncertain demand pattern rather than comercial supply chain. As stated by Beamon (2004), “in commercial supply chain, the demand of product is relatively stable and can be predicted based on its location and frequency. In HL, the demand of product emerges randomly and the location cannot be identified before the demand emerges.” 3. Method To conduct this research we used exploratory study through single case study. The object of study is MER-C Yogyakarta. The selection is based on several reasons, such as: the operational region of MER-C of Yogyakarta and its surroundings where the impact of Mount Merapi eruption were mostly felt; the organization competences The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 242 T.A. Suhada and B.R. Purnomo – Humanitarian Logistics in the Merapi Volcanic ... in humanitarian activities and emergencies, including the distribution of logistic to the domestic or foreign beneficiaries; and the presence of special division to handle logistic in this organization. The focus of analysis is to map-out strategies, processes, flows and the parties involved in the humanitarian logistic during the eruption. To have more detail comprehension, the study will also to examine the management of supply chain drivers such as facility, inventory, transportation, information, and sourcing. To do so, we use literature study, in depth-interviews, as well as observation, to have triangulation to provide adequate quality in data collection. The data consist of logistical flow, process, management, logistics, location, and supply chain drivers. The choice of participants of the in depth-interview was carried out through chain referral method. At the beginning, the researcher conducts an in depth-interview with the MER-C Secretary, which afterward refers to the Medical team coordinator, and then with the Logistic aid division coordinator. The observation is expected to be the supporting resources and to make it easy in understanding and interpreting the interview results or literature analysis. The technical documents are used to compliment the lack of observation in this research that cannot give historical comprehension. The technical documents are activities reports, evaluation report, communication book, and status reports. Those documents will complement the general information, such as: organization vision, mission, objective, history, and other activities which already collected before in deptinterview from various kinds of mass media files, i.e. news, newspapers, and electronic mass media. We analyze using descriptive, qualitative analysis. It is start with data reduction, coding, arranging it into category (memoing), and summarizing it into a simple arrangement and pattern. Qualitative analysis also has something to do with the interpretation, namely, obtaining meaning and insight from word and action of the research participants by exposing concepts and theories that explain the findings (Daymon and Holloway, 2008). Such data will be managed using content analysis. 4. Findings 4.1. Humanitarian Logistic Process Based on the organization mission, MER-C defined as, “social humanitarian organization that has a high mobility characteristic”. It clearly indicate that MER-C tend to use responsiveness strategy in managing their supply chain. In implementing responsiveness strategy MER-C involved participant as shown in figure 2. Fig. 2: Humanitarian Logistics of MER-C Yogyakarta Parties involved in HL are donators, suppliers, MER-C headquarter, MER-C Yogyakarta, and beneficiaries. Donators consist of those of individual and institutional. Upon giving the donation, it is followed by transaction, which usually states the purpose and allocation of the donation. Institutional donators occasionally request an accountability report, which contains aid distribution report, location, beneficiaries, and list of beneficiaries. HL The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 T.A. Suhada and B.R. Purnomo – Humanitarian Logistics in the Merapi Volcanic ... 243 suppliers of MER-C Yogyakarta consist of logistic, medical, and non-medical suppliers. Suppliers are required when the need of medical, non-medical demand cannot be fulfilled by the donators only. MER-C headquarter is the worldwide central MER-C. The role of MER-C headquarter in HL is the fund collectors from donators. Donation that originates from the local Yogyakarta province and its surrounding cities is usually put directly in the MER-C Yogyakarta. However, donation from other regions should go into MER-C Headquarters’ account. MER-C Yogyakarta serves as point of local distribution that runs the function of HL like logistic procurement, temporary warehouse, and the distribution. Beneficiaries are the benefits recipients of HL of MER-C, which are at once as the casualties of the eruption of Merapi 2010. The beneficiary locations are spread out across the 4 regencies and towns in DIY and its surroundings, like Sleman, Bantul, Yogyakarta and Magelang. The beneficiary locations are usually posts of refugee camps and shelters. The flow of HL of MER-C consists of these flows of goods, information, fund and people. The flow is divided into two, namely, medical and non-medical logistics. Medical logistics distributed are medicines, masks, bandage, and vitamin supplements. Non-medical logistics distributed are among others mat, blanket, emergency lamp, toiletries, clothes, baby’s food, diapers, bottled mineral water, rice, sugar, baby’s diapers, milk and detergent. Medicines and goods from donators upon their arrival will be inventoried in term of types, amount, and the expiry date before stored in the warehouse. In the warehouse, the medicines are arranged along with types and functions. The aid delivery process starts from the submission of proposal for aid request from casualties or from where the beneficiary locations are found suitable/appropriate. “…. Casualties hand in aid proposal, then we do the survey of location to ensure whether the casualties truly need the aid or not, then we affirmed the amount of aid that will be distributed.” (Secretary, August 5, 2011) Proposal then is clarified through survey process to ensure the properness of beneficiaries and the amount required. After all the processes are done, only then the aid will be distributed directly to the beneficiary locations. Other than through proposal, MER-C also actively searched for the prospective beneficiaries. It searched through the locations that possibly require aids, meanwhile doing survey on the necessity. “Besides, MER-C also actively searched for casualties or refugees, who needed help.” (Secretary, August 5, 2011) After the location of targeted beneficiaries was identified, the delivery process was done. The delivery of non-medical logistics has done directly to the beneficiaries through a coordinator of beneficiary location. Nonmedical logistics has usually packed in a form of package that contains different goods suitable to their need. The package is given to the beneficiary in a unit of KK (family head) or suited to their need. 4.2. Drivers Fig. 3: Humanitarian Logistics’s Driver MER-C The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 244 T.A. Suhada and B.R. Purnomo – Humanitarian Logistics in the Merapi Volcanic ... Usually in commercial supply chain, there are six drivers which are facilities, inventory, sourcing,transportation, information, and pricing (Chopra and Meindl, 2004). In HL case on MER-C, the five main drivers that are shown in Figure 3. 4.2.1. Facilities The supply chain facility owned by MER-C covers three sub-warehouse and mobile local distribution point that is called health post (“pos kesehatan”). The warehouse is located right out of the dangerous zone 25 kilometers away from Merapi whereas the health post is located right in refugee location to make it reachable for the beneficiaries. The objective is to enhance the level of responsiveness of MER-C. MER-C cover a quite large area which are Sleman, Magelang, Bantul, and Yogyakarta (shown by red circle in Figure 4). To meet demand and accommodate more logistics, MER-C expanded the warehouse with fourth sub-warehouse. Three subwarehouse used MER-C is chartered building, while the fourth is made with a tent in a open space near the other. Fig. 4: Coverage area and location of MER-C facilities Map Source: BNPB (2011) with modification 4.2.2. Inventory Soon after the first eruption, reservations of medicine in large quantity were done. Reservation for type of medicine is based on the prediction on the cripple or disease that will be suffered by casualties after Mount Merapi eruption. “....most casualties suffer burns or suffocation; the related medicines and equipment will be kept in large stock.” (Logictics Coordinator, September 8, 2011) In term of quantity, reservation is based the prediction of the scale and area of Merapi disaster. Somehow, it was found out a too much reservation for type of medicine for burn and mask, which turned out by fact to be much smaller in numbers than predicted. “...apparently, the reservation for medicine went over to ***….the real need of it in reality only reached one tenth of the predicted amount.” (Secretary, August 19, 2011) The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 T.A. Suhada and B.R. Purnomo – Humanitarian Logistics in the Merapi Volcanic ... 245 Some supplies were over abundant. They were returned to the drugstore. The first reservation of medicine supply was quite large so that for the following five months, MER-C no longer needed to restock in large quantity. Along with time passing by, the types of demand increased. The non-medical logistics like blanket, diapers, and mineral water were at first, required by the casualties. MER-C reacted against this demand by purchasing the mentioned logistics. The purchase is based on the prediction on the amount of logistics required during the period of two deliveries or in a week period. The prediction is not based on systematic forecasting method. In some cases, in which casualties were really in bad need of something, MER-C directly reacted by purchasing the required goods. Each of the incoming logistic then recorded and grouped by type and the expiry date. Management of inventory was based on FIFO (first in first out) method. 4.2.3. Transportation The distribution routes usually are multipoint that is continued to point-to-point. Logistic delivery mechanism mostly used rather than the pick-up mechanism. This is done to cover the large, widespread distribution location and the limited amount of means of transportation. In commercial supply chain, the determination of capital is based on trade-off, between the fast but expensive means of transportation and the slow but inefficient means of transportation. In HL of MER-C another consideration emerges, namely, the ability of means of transportation to reach the destination location. Under disastrous condition, infrastructure damages like street and bridges hinder the means of transportation like truck or cars to reach the location. “Sometimes, some locations are out of reach, so that it required us to ride motorcycles for its flexibility.” (Logistics Coordinator, September 8, 2011) Under such circumstance, means of transportation that are rarely used for logistic transportation like motorcycles are used. Motorcycles relatively can go through narrow, damaged lanes that cannot be passed by truck or cars. 4.2.4. Information In HL of MER-C, information plays a very important role. As humanitarian organization, that owns characteristic of trustworthy, every single of information on the reception and distribution of donation must be informed to the donators right away. “There must a daily report on the reception, so every time we receive donation we will confirm the donators, other than that, a report must be sent to the MER-C headquarter to be publicized in the MER-C’s web.” (Secretary, August 5, 2011) Information on the reception of donation is usually confirmed through SMS (short message service) by MER-C to the donators. Information on reception and distribution of the donation will also be publicized through website of either MER-C Headquarter or Branch of Yogyakarta. MER-C uses either pull or push information system. These two processes require different types of information (Chopra and Meindl, 2004). The anticipative push system requires information to make planning and predictions (historical information). While pull system requires information of the current demand (actual demand) and can be immediately distributed to the next phase to process. The management of these two systems of information results in distinct problem for MER-C. Information of push system in MER-C is not yet managed well, which can be proved by taking decision on purchasing supplies based on common sense. The previously unmanaged historical data on the demand of Merapi casualties’ aid is the major constraint for a systematic prediction on demand. The low level of knowledge transfer that results from the volunteer’s short lasting status worsened the management of information. While for pull system, there is not any actual problem internally. Nevertheless, actual information on demand has been managed quite well. Problems even come out form external parties. The presence of multiple aids, namely, a logistic demand that is responded by two or more institutions that do not make good coordination (Gupta and Mahadevan, 2005). It is a common problem, experienced by humanitarian organization, so is it for MER-C. Although, actual information was obtained, it is difficult to anticipate the possibility of multiple aids. A disaster draws so much public attention that the flow of information becomes uncontrollable. In the case of multiple aids, MER-C chose to divert the aid to another location if upon the arrival of donation in a location; other institutions turn out to allocate their aid to the same location. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 246 T.A. Suhada and B.R. Purnomo – Humanitarian Logistics in the Merapi Volcanic ... 4.2.5. Sourcing All activites of sourcing, is self managed, or conducted inhouse. In this case, there is no delegation for the different supplier. Transportation, warehouse, packaging, and other various processes were handled by MER-C itself. It was even outsourced by other parties to run the distribution and the service of health. In this case, a decision to do in-house sourcing is quite an appropriate decision because by doing its activity and run the phases of supply chain itself, the supply chain will be more responsive in facing the demand. According to Chopra and Meindl (2004), delegating one activity to other parties (outsourcing) will give benefits on the enhancement of efficiency of supply chain. In this case, delegating activity or phases of supply chain to other parties even will lower the level of efficiency of the supply chain. This is due to the fact that MER-C is an organization whose members are voluntary so that processes, activities or the phases of supply chain incurred almost no cost for labor. While doing outsourcing even will incur more cost because other parties are usually commercial company or organization. 5. Discussion To reach strategic fit, companies must ensure the capability of supply chain to satisfy the segmented customers (Chopra and Meindl, 2004). In context of HL, strategic fit can mean the abilities of the supply chain drivers to achieve the organizational goals to give highest benefit to the beneficiaries. Referring to MER-C mission statement, ”to help the most vulnerable people and the most neglected people”, and referring to MERC’s characteristic of high mobility, it shows that the purpose of this organization is to help vulnerable people rapidly. To do so choosing responsiveness strategy as a part of organization strategic decision making is relevant. To be responsive, MER-C manage facilities drivers, allocating the warehouse right out of the dangerous zone 25 kilometers away from Merapi and the health post is located right in refugee location. It is help MER-C to be more close to beneficiaries. In inventory side, despite the unsystematic prediction on demand, the provision of logistics in large quantity in the early of period of disaster shows the conservatism approach of the management to be as responsive as possible. MER-C has primary suppliers to fulfill its logistic demand. However in certain conditions, MER-C can purchase wherever it is. The flexibility in doing this sourcing will play role, as well as in enhancing its responsiveness in fulfilling the uncertainty of demand and environment. The choice of transportation mode and routes is also quite suitable and relevan to suport the organization objective. The management of facilities drivers, supply, information, transportation, and sourcing has been in line with the responsiveness strategy. Somehow, there are several cost effectiveness strategic practices to enhance usefulness of the aid fund. Efficiency found out is the use of pull information system where purchasing is only done upon the emergence of order/ reservation. Efficiency is also carried out when MER-C chose to do postponement when a demand of certain logistics is not urgent. However, for the emergent and urgent demand, MER-C remains to respond well. From the elaboration above, it can be drawn a conclusion that generally, the management of driver is able to encourage the achievement of supply chain strategy of MER-C Yogyakarta. 6. Conclusion HL management carried by MER-C is consistent with the mission of organization. Responsiveness strategy derived in many aspects of drivers, such as facilities, transportation, sourcing, and inventory, but in many aspects MER-C try to be quite use cost effectiveness strategy. This research also has succeeded in describing how management of driver supply chain of HL was carried out by MER-C. Facilities and supply was allocated near the beneficiary location. The supply was managed anticipatively by purchasing in large quantity at the early time, although several supply items turned out to be over-supplied. Modes and routes of transportation were managed flexibly. Information was managed using reactive-pull system and anticipative-push system. Medical logistic sourcing is integrated to encourage responsiveness of MER-C. Almost all activities carried out in-house by MER-C are to enhance efficiency without crippling responsiveness. The management of the five drivers has already been in line with the strategy of responsiveness of MER-C and is able to achieve the goals of MER-C. In future humanitarian organization need put more attention in demand forecasting. They may use some more objective approach, suported by quantitavie tools so that the logistic demand prediction in disasters will be more accurate. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 T.A. Suhada and B.R. Purnomo – Humanitarian Logistics in the Merapi Volcanic ... 247 References [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] [20] [21] [22] [23] [24] [25] Alexander, David. (2002). Principles of Emergency Planning and Management. Amherst USA: Oxford university pers University of Massachusetts. Aslanzadeh, M., Rostami, E.A., dan L. Kardar. (2009). Logistics Management and SCM in Disasters. dalam R. Zanjirani Farahani, dan H, Davarzani. Supply Chain and Logistics in National, International and Governmental Contributions to Management Science. New York: Springer-Verlag Berlin Heidelberg. Beamon, B.M. dan Balcik B. (2004). Distribution Network Design For Humanitarian Relief Chains, http://courses.washington.edu/ie59x /abstracts/IEseminar05.pdf, accessed September 17, 2011. Berg, B. L. (2009). Qualitative Research Methods for the Social Sciences.Needham Heights: Pearson. BNPB, (2010). Laporan Khusus Penanganan Bencana Letusan Gunung Merapi Di Prov. Jawa Tengah & Prov. DIY : tanggal 29 Oktober 2010 Pukul 09.00, http://bakornaspb.go.id/irw/file/bencana/22. Pdf, accessed September 18, 2011. BNPB. (2011). Dari Wasior, Mentawai, hingga Merapi: Gema BNPB. March edition, 2011. BNPB. (2011). Perlu Rp 2,93 Trilyun Untuk Wasior, Mentawai Dan Merapi, http://www.bnpb.go.id,/website/asp/berita_list.asp?id=587, accessed September 17, 2011. BNPB. (2011). Panduan Perencanaan Kontinjensi Menghadapi Bencana, http://www.bnpb.go.id/website/file/pubnew/103.pdf, accessed September 17, 2011. Bungin, B. (2007). Penelitian Kualitatif: Komunikasi, ekonomi, kebijakan publik dan ilmu sosial lainnya. Jakarta: Kencana Prenada Media Group. Chopra, Sunil dan Meindl, P. (2007). Supply Chain Management: Strategy, Planning, and Operations, 3rd Edition, New Jersey: Pearson Education. Chandra V. (2005). Supply chain management issue. http://www. coolavenues.com/know/ops/vamsee. dalam Aslanzadeh, M., Rostami, E.A., dan L. Kardar. 2009. Logistics Management and SCM in Disasters. dalam R. Zanjirani Farahani, dan H, Davarzani. Supply Chain and Logistics in National, International and Governmental Contributions to Management Science. New York: Springer-Verlag Berlin Heidelberg. Daymon, D. Dan Holloway, I. (2002). Riset Kualitatif dalam Public Relations & Marketing Communications. Bandung: Bentang. Hsieh, H.-F., & Shannon, S.E. (2005). Three approaches to qualitative content analysis, Qualitative Health Research, Vol. 15 No. 9, pp. 1277-1288. Gupta V., dan Mahadevan N. (2005). Supply chain management issue. http://www.coolavenues.com/know/ops/varunsupply-1.php, accessed September 17, 2011. Kidder, L. and M. C. Judd. (1986). Research Method in Social Relations (5th Ed.). New York: Holt, Rinehart & Winston. Mendonca, David, Theresa Jeferson dan John Harrald. (2007). Collaborative adhocracies and mix and match technologies in emergency management. Comunications of The ACM. March,Vol. 50.no. 3. Russel, Roberta S. dan Bernard W. Taylor. (2006). Operations Management: Quality and Competitiveness in a Global Environment, 5th Edition, New York: John Wiley and Sons. Sekaran, Uma. (2003). Research Methods for Business: A Skill Building Approach,(4th Ed.). New York: John Wiley and Sons Inc Smithsonian Institution Global Volcanism Program. Merapi. (2011). http://www.volcano.si.edu/world/volcano.cfm?vnum=0603-25=, accessed April 20, 2011. Surono. (2011). in Tim Solopos dan Harian Jogja. 2011. Letusan Merapi 2010 : sebuah catatan jurnalistik. Solo, Indonesia: Harian Umum SOLOPOS dan Harian Jogja. Thomas, A. (2004). Leveraging private expertise for humanitarian supply chains, Forced Migration Review, Vol. 21, pp. 144–122. Tim Solopos dan Harian Jogja. (2011). Letusan Merapi 2010 : sebuah catatan jurnalistik. Solo, Indonesia: Harian Umum SOLOPOS dan Harian Jogja. Tomasini, R. dan Van Wassenhove, L. (2009). Humanitarian Logistics. London: Palgrave Macmillan. Website MER-C, (2011). http://www.mer-c.org, accessed April 20, 2011. [26] Website MER-C Yogyakarta. http://www.fikar.web.ugm.ac.id/profil.html, accessed September 17, 2011. Yin, Robert K. (2009). Case Study Research: Design and Methods (4th Ed.). California: Sage Publications. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 248 T.A. Suhada and B.R. Purnomo – Humanitarian Logistics in the Merapi Volcanic ... Cite this paper Suhada, T.A., and Purnomo, B.R. (2012). “Humanitarian Logistics in the Merapi Volcanic Eruption 2010: A case study on MER-C Yogyakarta,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 239-248. ISBN: 978-979-15458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 The relationships between supplier and customer involvements towards broiler business performance: An empirical investigation on Malaysian poultry industry Ahmad Shabudin Ariffin1,*, Hendrik Lamsali1,*, Shahimi Mohtar1,* 1 School of Technology Management and Logistics (STML) - College of Business (CoB) - Universiti Utara Malaysia (UUM), Sintok 06010, Kedah Darul Aman, Malaysia Abstract. Agriculture is one of the key sectors for international trade that supply foods to the world population. The major contribution of broiler consumption in improving per capita nutrients level is well documented. In the meantime, the importance of supplier and customer involvement within supply chain operations are also well acknowledged. Nonetheless, empirical evidence linking broiler business performance and the aforementioned involvements remains elusive. Hence, this study proposes an investigation over potential relationships between supplier and customer involvements towards broiler business performance. The potential moderating effect of managerial skill levels on the abovementioned relationships is also proposed. A research framework and six hypotheses are then forwarded to further gauge the issues. Plugging the information gap in Malaysian poultry industry and examining the inclusion of customer involvement and managerial skill levels into the model are the focal contribution of this study. Upon completion, the study is expected to be beneficial to relevant authorities, practitioners and interested parties alike. Keywords: Broiler industry, supplier involvements, customer involvements, skill levels, producers, integrators, business performance 1. Introduction At the moment poultry industry in Malaysia has three types of producers. It comprises commercial farms and conventional farms. Commercial farms that run business on contract farming basis with integrator and conventional farms that are belong to independent entrepreneurs. The contracting scheme is therefore more likely to be sustained by its ability to support entrepreneurs than it is by its ability to produce highly competitive. In 2009 there were 3,300 farms in operation carrying a standing population of nearly 186 million broiler chickens. Of these, 4,300 farms 22.9% are large farms with more than 50,000 broilers per cycle while 26.2% are medium scale farms carrying 20,000-50,000 broilers per cycle, and the rest are small farms with 20,000 broilers per cycle. Malaysia is 121.8% self-sufficient in the supply of poultry meat. Most were consumed fresh. It is the main meat type consumed in the country accounting for 70% of the total meat consumed. Only 9% of local * Corresponding authors. E-mail address: [email protected] ; [email protected] ; [email protected] 250 A.S. Ariffin, H. Lamsali, and S. Mohtar – The relationships between supplier ... production was used for further processing. However, processers were increasingly getting supplies from cheaper imported poultry meat for value added processing. In fact, most of poultry supplied for processing were from imports. The main challenge facing the industry is its competiveness, where prior to WTO and AFTA, the broiler industry was highly protected through import bans and quantitative restrictions. Currently some products are under tariff rate quotas. In this respect, transforming the small scale farms to a more capital intensive medium and large scale farms is the major initiative that is needed by the industry to enhance productivity and competitiveness to sustain the industry in a more liberalized market. Another challenge for the industry is to cope with the environmental and pollution issues associated with its production system. In this respect, the government has provided incentives for producers to upgrade their production system from the open to the more efficient and environmentally friendly closed house system of production. Within a relatively short period of time the poultry industry has been able to transform itself from backyard subsistence levels to highly modern, commercial and efficient production systems. In the meantime, empirical information on broiler business performance in Malaysia is still in infancy stage. The potential impact of supplier and customer involvement towards local broiler business performance also remains debatable due to lack of relevant empirical evidence. Hence, the aim of this study is to propose an investigation over the potential relationships between supplier and customer involvement towards local broiler business performance. The remaining part of this paper is organized as follows: Section 2 reveals relevant literature review, section 3 depicts the conceptualization of research hypotheses and section 4 briefly addresses proposed research methodology and relevant constructs measurements. Expected contribution from the research is stated in section 5 and finally conclusion of the research is presented in section 6. 2. Literature Review 2.1. The Supply Chain Management (SCM) Perspective Supply chain management (SCM) recently has become popular within practitioners and academician (Burgess, 2006). Supply chain management practices are chartered to deliver the right product, place, time, quantity, quality and condition to the customers at the lowest possible cost (Coyle, et al., 2003; Lumnus, 2003; Li, 2006). Recent business environment has been driven by constant changes, market unpredictability (Swafford et al., 2006; Yusuf, Gunasekaran, Adeleye and Sivayoganathan, 2004; Kim, 2005), rapid technology changes (Lau, 1996) and shorter product life cycle (Hyun and Ann, 1992). This has resulted in diversification of product varieties (Fischer, 1997) and inconsistent global demand (Porter, 1991; Lee, 2004; Ketchen et.al., 2008). Successful organizations remained competitive through various supply chain channel collaborations (Porter, 1990; Speakmanet. Al., 1998; Van Hoek, 2001) while adapting to change market place condition (Reichhart&Holweg, 2000; Kumar et. al., 2006). 2.2. Supply Chain in Poultry Industry Figure 1. The vertically integrated Poultry Production Supply Chain The main company has a vertically integrated supply chain, it operates as an integrated producer, owning the majority of all breeding, feed, slaughtering and processing facilities (see figure 1). It uses state of the art technology and a strict hygiene control in all its processes. The company operation counts with rural producers The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 A.S. Ariffin, H. Lamsali, and S. Mohtar – The relationships between supplier ... 251 as integrator and direct collaborators. It operates with a wide variety of distribution channels, ranging from supermarkets to distributors and groceries. It also delivers its products directly to restaurants. The company believes its favorable position in the national and foreign markets is the result of a long-term work that the whole team has been developing along with the strategy of the company in granting service and personalized products. 2.3. Contract Farming The term “contract farming” generally refers to situations in which a farmer raises or grows an agricultural product for a vertically integrated corporation. For example, thousands of farmers nationwide are growing broilers under contract farming arrangements for major poultry-producing companies. Contract farming arrangements are also becoming common in other kinds of poultry production. There are two parties in a typical contract farming arrangement: the grower and the company (Integrator). Generally, the grower provides the land, the buildings, the equipment, and the labour. The company provides the broiler, the feed, the medicine, and management directions and services. Broiler contracts consist of contracting out the growing stage. Integrators (i.e. the firm that controls or contracts out each stage of production) recruit large farms (growers) to rear broiler chickens for meat according to contractual guidelines. From the growers’ perspective, contracts with integrators provide them access to many facets of production that may otherwise be unavailable including credit, production technology, and the world market. Farming contracts can also help growers mitigate risks posed by fluctuations of input prices and provide a secure market outlet for their product. The latter is especially important because of the limited facilities that process chickens raised by independent farmers. While current trends are moving producers toward vertical integration, there remain many farms currently under contract or with unused infrastructure from past contracts. These contracts cover four main elements; price, quality, quantity, and time. The first type, procurement contracts, only specifies the conditions of input purchases and the conditions of output sale. Most integrators in Malaysia participated contract farming with growers for broiler production. Consequently, the integrators are always involved in every stage of production. Growers receive chicks from the firm hatcheries, feed from the firm feed company, veterinary services from the company veterinarians, etc. Therefore, while there are key differences between contract farming and complete vertical integration (e.g. who supervises over important growth stages), most aspects of the supply chain are the same. Total contract arrangements dictate that the growers retain ownership of the broilers during the growing stage because the growers receive all inputs (including chicks) free of charge. Similar to completely integrated production systems, all scheduling in contract production systems is controlled by the integrator. The integrator thereby gathers the benefits of efficient scheduling and decreased transaction costs. 3. Conceptualization of Research Hypotheses 3.1. Product Modularity (PM) According to (Schilling, 2000) PM as a continuum of describing separateness, specificity (Ulrich, 1995) and transferability of product components in a product system (Lau, Yam, & Tang, 2010). A product is transferrable if the product components in a product system can be reused by another system (Starr, 1965). It can be separated as it can be disassembled and recombined into new product configurations without loss of functionality (Schilling, 2000), and specified as the product component has a clear, unique and definite product function with its interfaces in the product system Ulrich (1995). If a product has high PM (i.e. modular product design), the product system has separate modules with well-specified interfaces across the modules, such as those found in personal computers. The product modules can be transferred to different product lines and progressive development projects. On the contrary, if a product has low PM (i.e. integrated product design), the product components are highly interlinked without well-specified interfaces across the components, like those found in fine art. It is very difficult for these components to be transferred to other product lines. Product modularity is a multi-faceted construct and little consensus of definition has emerged (Gershenson, Prasad, & Zhang, 2003). The literature relates modularity and standardization through commonality and product architecture. In this research, we define product modularity as the use of standardized and interchangeable parts or components that enable the configuration of a wide variety of end products. This definition pre-supposes the concepts of loose combination, ease of disaggregation, dissimilar outputs, and a one-to-one matching of function to module. Hence, the abovementioned issue is hypothesized as follow: H1. PM has positive significant relationship with BP The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 252 A.S. Ariffin, H. Lamsali, and S. Mohtar – The relationships between supplier ... 3.2. Internal Coordination (IC) Recent literature have stated that successful product development can only be achieved if the organization can effectively integrate internal functional units, including marketing, manufacturing, R&D, and purchasing (Gerwin & Barrowman, 2002); (Clark & Fujimoto, 1991). Diverse internal integration mechanisms (e.g. crossfunctional teams, overlapping, employee involvement, concurrent engineering, connections, dedicated teams, empowered teams) have been recommended in different phases of NPD (Griffin, 2002); (Hargadon & Eisenhardt, 2000); (Zirger & Hartley, 1994). Thus, this study defines IC as the degree of the coordination among sales and marketing, research and development, and production to inventory management throughout the product development process. H2. IC has positive significant relationship with BP 3.3. Product Innovativeness (PI) An important part of the research within the new product literature focuses on the effect of PI on product performance (Cooper, 1979); (Zirger & Maidique, 1990); (Kleinschmidt & Cooper, 1991); (Cooper & Brentani, 1991); (M. X. Song & M.E. Parry, 1997); (M. X. Song & Montoya-Weiss, 1998). Even with the widely varying conceptualizations and operationalization of the PI construct (Danneels & Kleinschmidt, 2001), there are prevailing views arguing that both higher and lower PI increases product performance while the opposite holds true for moderate PI. In particular, more innovative products require greater efforts and resource commitments from the firm but are likely to have positive performance effects because they gain significant comparative advantages that secure adoption by customers. Likewise, less innovative products reduce the efforts required, because of their familiarity with the core products of the firm. Since they benefit from firm-specific experiences, competencies and resources, they are likely to become more successful, thus leading to higher performance. Based on the above, this study seeks to provide new evidence concerning PI as a phenomenon and extend the empirical literature to the relation between PI and performance. In particular, it classifies firms according to three dimensions of PI and looks for differences in product- and firm-based performance, while directs the attention to the context of industry. Indeed, there is still a major question as to whether smaller as compared to larger firms are more active and successful in product innovation. Despite the persistent, ongoing controversy on this issue (Fritz, 1989), smaller firms are thought to be more innovative than larger firms for many reasons (e.g. respond faster to market shifts and needs, accept and implement change easier). Following this reasoning, many studies refer to attempts of categorising small firms’ innovative behaviour (e.g. (Hadjimanolis & Dickson, 2000); (Raymond, Julien, Carriere, & Lachance, 1996); (Rizzoni, 1991). The proposed alternative typology schemes usually contrast two polarised innovation strategies (i.e. strategies behind innovation), such as proactive innovators vs non-innovators or considering intermediate situations, such as reactive innovators. However, the literature as regards typologies according to PI and their relation to business performance within a small firm context lacks evidence. So, in the absence of such evidence it is useful to resort to qualitative evidence from the Malaysia context. Given the above considerations, the research questions that this empirical study raises, attempt to identify differences, if any, in performance measures at both the product level. H3. PI has positive significant relationship with BP 3.4. Supplier Involvement (SI) According to (X. M. Song & Benedetto, 2008); (van-Echtelt, Wynstra, Weele, & Duysters, 2008)SI is recognized as an important way for new product success. In this study, SI is defined as the direct participation of the supplier during the product development processes (Ragatz, Handfield, & Scannell, 1997). Suggested by (Fliess & Becker, 2006); (Takeishi, 2001) it involves joint product design, process engineering and production operations with key suppliers. SI helps secure resources and capabilities, which the manufacturers do not have but essential for product innovation(Grant, 1996). It helps the supplier learn new technology applications while the buyer can actively shape product performance (Athaide & Klink, 2009). H4. SI has positive significant relationship with BP 3.5. Customer Involvement (CI) Suggested by (Feng, L. Sun, & Zhang, 2010); (Brown & Eisenhardt, 1995)CI is defined as the direct participation of the customer in the design and development stages of New Product Development (NPD), in which the customer engages in problem solving activities and co-develop the final forms of the product with the manufacturers. It involves joint product design, process engineering, and production operations with key customer. According to (Brown and Eisenhardt, 1995; (Clark & Fujimoto, 1991) the early involvement of customers or early customer inputs is essential to develop new products. It facilitates the project teams to The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 A.S. Ariffin, H. Lamsali, and S. Mohtar – The relationships between supplier ... 253 recognize new ideas and opportunities while avoiding development delays due to a mismatch of the ideas and the customer needs(Ittner & Larcker, 1997). H5. CI has positive significant relationship with BP 3.6. Business Performance If organizations cannot measure performance, they cannot manage their business (Kaplan & Norton, 1992). If organizations are to survive and prosper in information age competition, they must use measurement and management systems derived from their strategies and capabilities. This statement summarizes the necessity of performance to measure, and asdirect consequence, and to evaluate their performance (O'Raily, Wathey, & Gelber, 2000). Summarizing the ideas of many authors, it can be said that the roles of business performance evaluation are to ensure compliance with crucial minimum standards, to check how well organization are doing, to test strategic assumptions, and to provide a reliable basis for communicating with interested parties (Coelho, Yivisaker, & Turkstra, 2005). The business performance extends the eras of measurements to the three perspectives (Maluenda, 2006).There are innovation, rate of new product development, customer satisfaction, customer retention and operating costs (Zack, McKeen, & Singh, 2009). Business performance is defined as measurable result of the level of attainment of organizations goals (Daft & Marcic, 2001) or measurable result of the organization's management of its aspects (ISO 1999), or mechanism for improving the likelihood of the organization successfully implementing a strategy. Business performance evaluation is the process to help management decisions regarding an organization's performance by selecting indicators, collecting and analyzing data, assessing information against performance criteria, reporting and communicating and periodically reviewing and improving this process (Coelho et al., 2005). H6. All variable has significantly influence with BP 3.7. Skill Level Economic theory recognizes several processes by means of which skill is created and contributes to business performance. Despite skill significance in economic theory (Loasby, 1999), it seems that insufficient attention has been paid so far to skill creation in the division of labour in the Agri-Food sector. It recognises that characteriseAgri-Food systems, at the level of both whole chains and groups of agents(Fritz & Schiefer, 2008); (Sporleder & Wu, 2006), and maintains that organisationalskill is a effective source of competitive advantage(Teece, G.Pisano, & Shuen, 1997); (Schroeder, Bates, & Junttila, 2002). It seems that a specific characteristic of the Agri-Food sector, which offers important examples on how organisational choices positively influence skill level, is related to the peculiar distribution of the sources of codified and tacit knowledge (Nonaka and Takeuchi, 1995), with farms mainly involved in the tacit knowledge creation. Researchers are paying increasing attention to food supply systems(Lindgreen, Hingley, & Trienekens, 2008); (Omta, Trienekens, & Beers, 2001); (Menard & Clein, 2004); (Sonnino & Marsden, 2006), and this reflects both the complexity of the sector’s organizational arrangements and the growth of analytical interest in Networks Analysis (Borgatti, Mehra, Brass, & Labianca, 2009). Today, this industry is against the severe economic practices of governments and the most difficulties from governments are certain attention to management preparations in poultry production in order to increase the efficiency(Oknkow & Akubuo, 2001). In addition to three factors of labour force, capital and land, management is introduced as the fourth factor of production which have important role in the three first factors. What is important theoretically is that in each production, due to being quality of management, it must turn to quantity for using some indexes until it can use in production function (Hamidi, 2005). Hence, the managers of agriculture production and producers are considered as the most efficient agent to control efficiency and productivity of business. So, assessment of their performance and efficiency and also their role in realizing farm management goals play important role, So that, (Amini & Ramezani, 2007) had been introduced managers capacity and proficiency as one of the important inter organizational component in success of poultry cooperation's. These managerial skills help them to perform correct selection due to financial levels, workforce, land resources and risk escaping. These skills help the producers for access to income possible levels about what thing must be product, in which part of farm, by what method, when and how much, take informed decision (A.Sh. Al-Rimawi, Karablieh, Al-Qadi, & Al-Qudah, 2006) and (A.S. Al-Rimawi, Emad, & Abdullah, 2004). In this study, the potential role of managers’ skill levels as moderating variable between the aforementioned independent and the dependant variables will be discussed and depicted by the following hypothesis. H7: SL has significantly moderate relationship between IV and D The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 254 A.S. Ariffin, H. Lamsali, and S. Mohtar – The relationships between supplier ... 4. Proposed Research Methodology This study will involve all broiler producers in Malaysia. General approach of this research is quantitative. With regard to the research problem which is try to study the relationship between Supplier Customer Involvement towards Business Performance and moderating of managerial skills in broiler production, it performed based on survey strategy and it is enjoying of descriptive-analytical method. Statistical population of this research consisted of whole industrial boiler production (producers) that registered at Department Veterinary Services (DVS) of Malaysia. The main instrument for data collection was a questionnaire including background of the company, supplier and customer involvement specification and managerial questions about broiler production and individual/professional characteristic. 4.1. Research Design The objective of the research is to determine the relationship of supplier involvement, customer involvement, product modularity, product innovativeness, internal coordination and business performance. Skill level is a moderating variable between independent variables and dependent variable. Suggested by (Pinsonneault & Kreamer, 1993) that survey research is best to answer questions on what, how much, how many and lesser extent to answer how and why. Literature review also showed survey is appropriate to examine the all variables and the need of higher number sample size to cover the field in different location in Malaysia. Survey method is the best option as it is cost efficient. It does not involved significant amount of time and also need have statistically tested validation to close previous research gaps identified from other researchers. Finally, based on the preliminary interview with experienced industry practitioners, the probability of obtaining commitment from firms to participate in case study are relatively low making this option not advantageous. This research considers case study to triangulate areas of research questions which need more contextual confirmation on how and the level of supplier-customer involvement towards business performance. Based on the literature reviews and problem statement illustrated, there are not many research instrument to measure relationship Supplier-customer involvement towards business performance in agriculture product such as broiler. Hence, specially crafted test instruments through structured questionnaire are used to study the research framework. 4.2. Instrument Development Variables Supplier Involvement (SI) Customer Involvement in Product Development (CPD) Managerial Skill Level (ML) Business Performance (BP) Independent Variables Dimension Product Modularity (PM) Product Innovativeness (PI) Internal Coordination (IC) Customer Involvement in Product Development (CPD) Moderating Variables Planning and Goal Setting (PGS) Accounting and Financial Skills (AFMS) Marketing Management Skills (MMS) Dependent Variables Business Performance (BP) Sources A.K.W Lau (2011) Wynstra & Ten Pierick(2000) Vonderembse & Tracey (1999) van-Echtelt et al.(2008) Takeishi (2001) Salavou (2005) Stjenstrom & Bengtsson (2004) X. M. Song & Benedetto (2008) Salavou (2004) Ryu, Min, & Zushi (2008) Peter (1996) Avlonitis & Salavou (2007) Danneels & Kleinschmidt (2001) M.F.Svendsen, et. al. (2011) Ragatz et al (1997) Peterson, Handfield, & Ragatz (2005) Athaide & Klink (2009) Brown & Eisenhardt (1995) Chen, Damanpour, & Reilly (2010) Feng et al (2010) M.S.Allahyari et. al (2011) G.Martino & P. Polinori (2011) S. Roll (2010) R.Bhagwat & M.K.Sharma (2007) A.Agus (2010) A.Agus (2011) (Sanchez & Perez (2005) Zelbst, Green, & Sower (2009) The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 A.S. Ariffin, H. Lamsali, and S. Mohtar – The relationships between supplier ... 255 Zailani & Rajagopal (2005) Zack et al (2009) Yaaghubi, Chizari, Pezshkirad, & Foeli (2009) Worren, Moore, & Cardona (2002) Webster (2002) Threranuphattana & Tang (2008) Tan, Kannan, & Handfield (1998) Sezen(2008) Saad & Patel (2006) Rosenzweig, Roth, & Jr-Dean (2003) 4.3. Population and Sampling Frame Malaysia’s agriculture sector accounted for 14 percent of GDP in 1995, down from 38 percent in 1960 (Asian Development Bank. Asian Development Outlook 1996 and 1997, 1996). During the past three decades, the Malaysian poultry industry has evolved from small back-yard operations into relatively modern, large-scale commercial operations. One of the factors contributing to the growth of the poultry sector is the replacement of local breeds with high-quality poultry breeds from the United States, Europe, Canada, and Australia. A second factor is the growth of highly efficient integrated production systems. Six of the largest broiler operations are now fully integrated with breeder farms, feed mills, processing plants, and in some cases, retail outlets. The integrated firms account for two-thirds of broiler production in Malaysia and are steadily increasing their market share (Fuglie, 1996). Hence, this sector is logical consideration as the population used for the research. The Malaysia Department of Veterinary Services (DVS) has been commonly used by various researchers as a data base to select population and sampling frame. Based on literature reviews, quality of respondents is an important factor and is expected to have best knowledge about the operation and management of supply chain in their organization. Hence the survey targets managers in operation, materials planning, marketing, general managers or directors. Based on these past experiences, it has been decided to include the entire listed contract broiler producers. The objective is to involve all the producers and to ensure sufficient data collected to meet the criteria of good sampling frame and sufficient data to run the statistical analysis (Bryman & Bell, 2003). 5. Discussion and Expected Result The contact farming literature reminds us that these arrangements often fail because of opportunistic behavior. The poultry example shows that contracting is a useful institution when processor interests are closely aligned to that of the grower. This paper describes the situations under which this orientation is obtained. First, it enhances to the small and growing body of work that explained the performance contract growers. Second this paper also addresses benefits from contract scheme between suppliers and growers. The potential moderating effect of managerial skill levels on the abovementioned relationships is also proposed. Plugging the information gap in Malaysian poultry industry and examining the inclusion of customer involvement and managerial skill levels into the model are the focal contribution of this study. 6. Conclusion Almost everyone knows that agriculture seems to have a certain element of poultry farming. This research is expected to identify the factors that involved integrators and growers towards business performance. The information gathered from farm operation management and supply chain system will compile during this study hopefully will give us some indicator and suggestions on how to improve the existing system. The suggestion generated hopefully will become a new innovation initiative to be further germinated and deliberated among the broilers producers suited according to the market requirement. Hence, this study proposes an investigation over potential relationships between supplier and customer involvements towards broiler business performance. Upon completion, the study is expected to be beneficial to relevant authorities, practitioners and interested parties alike. References [1] Agus, A. (2010). The importance of new technology and innovation in SCM in enhancing production performance and product quality performance: an investigation on mediating effect. Global Review of Business and Economic Research, 6(2), 19-38. [2] Agus, A. (2011). Supply chain management, supply chain flexibility and business performance. Journal of Global Strategic Management, 5(1), 134-145. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 256 A.S. Ariffin, H. Lamsali, and S. Mohtar – The relationships between supplier ... [3] Allahyari, M. S., Saburi, M. S., & Keshavarz, F. (2011). Analyzing Farm Management Skills in Poultry Production Enterprises in Iran. Life Science Journal, 8(1). [4] Al-Rimawi, A. S., Emad, K. K., & Abdullah, S. A. (2004). An Investigation into the perceived farm management and marketing educational needs of farm operators in Jordan. Journal of Agriculture Education, 45(3), 34-43. [5] Al-Rimawi, A. S., Karablieh, E. K., Al-Qadi, A. S., & Al-Qudah, H. F. (2006). Farmers' Attitudes and Skills of Farm Business Management in Jordan. Journal of Education and Extension, 12(3), 165-177. [6] Amini, A., & Ramezani, M. (2007). Asessment of most important internal component in the success of poultry production cooperatives Tehran province. Science and Technologies in Agriculture and Natural Resources, 12(43), 285-295. [7] Asian Development Bank. Asian Development Outlook 1996 and 1997. (1996). New York:: Oxford University Press. [8] Athaide, G. A., & Klink, R. R. (2009). Managing seller-buyer relationships during new product development. Journal of Product Innovation Management, 26, 566-577. [9] Avlonitis, G. J., & Salavou, H. (2007). Entrepreneurial orientation of SMEs, product innovativeness, and performance. Journal of Business Research, 60(5), 566-575. [10] Bhagwat, R., & Sharma, M. K. (2007). Performance measurement of supply chain management: A balanced scorecard approach. Computers in Industrial Engineering, 53, 43-62. [11] Borgatti, S. P., Mehra, A., Brass, D. J., & Labianca, G. (2009). Network analysis in the social sciences. Science, 323(5916), 892-895. [12] Brown, S. L., & Eisenhardt, K. M. (1995). Product development: past research, present findings,and future directions. Academy of Management Review, 20(2), 343-378. [13] Bryman, A., & Bell, E. (2003). Business Research Methods. New York: Oxford University Press. [14] Chen, J., Damanpour, F., & Reilly, R. P. (2010). Understanding antecedents of new product development speed: a meta-analysis. Journal of Operations Management, 28, 17-33. [15] Clark, K. B., & Fujimoto, T. (1991). Product Development Performance. Boston, MA: Harvard University Press. [16] Coelho, C., Yivisaker, M., & Turkstra, L. (2005). Nonstandardized assessment approaches for individuals with traumatic brain injuries. Paper presented at the Seminars in Speech & Language. [17] Cooper, R. G. (1979). The dimensions of industrial new product success and failure. Journal of Marketing, 43, 93-103. [18] Cooper, R. G., & Brentani, U. D. (1991). New industrial financial services: what distinguishes the winners. Journal of Product Innovation Management, 8(1), 75-90. [19] Daft, R. I., & Marcic, D. (2001). Understanding management (3rd ed.). Fort worth, USA: Harcourt College Publishers. [20] Danneels, E., & Kleinschmidt, E. J. (2001). Product innovativeness from the firm's perspective: its dimensions and their relation with project selection and performance. Journal of Product Innovation Management, 18, 357-373. [21] Feng, T., L. Sun, & Zhang, Y. (2010). The effects of customer and supplier involvement on competitive advantage: an empirical study in China. Industrial Marketing Management, 39(8), 1384-1394. [22] Fliess, S., & Becker, U. (2006). Supplier integration - controlling of co-development processes. ndustrial Marketing Management, 35, 28-44. [23] Fritz, M., & Schiefer, M. (2008). Food chain management for sustainable food system development: a European research agenda. Agribusiness, 24(4), 440-452. [24] Fuglie, K. O. (1996). Private Investment in Agricultural Research / AER-805. Economic Research Service/USDA (International Potato Center Bogor, Indonesia), 114-121. [25] Gershenson, J. K., Prasad, G. J., & Zhang, Y. (2003). Product modularity: definitions and benefits. Journal of Engineering Design, 14(3), 295-313. [26] Gerwin, D., & Barrowman, N. J. (2002). An evaluation of research on integrated product development. Management Science, 48(7), 938-953. [27] Grant, R. M. (1996). Prospering in dynamically-competitive environments: organizational capability as knowledge integration. Organization Science, 7(4), 375-387. [28] Griffin, A. (2002). Product development cycle time for business-to-business products. Industrial Marketing Management, 31, 291-304. [29] Hadjimanolis, A., & Dickson, K. (2000). Innovation strategies of SMEs in Cyprus, a small developing country. International Small Business Journal, 18(4), 62-79. [30] Hamidi, M. S. (2005). Management and economic of ostrich culture in Iran. Tehran, Iran (In Persian): Sepehr Publisher. [31] Hargadon, A. B., & Eisenhardt, K. M. (2000). Speed and quality in new product development, in Cole, R.E. and Scot, W.R. (Eds),The Quality Movement Organization Theoy. Sage, New York, NY. [32] Ittner, C. D., & Larcker, D. F. (1997). Product development cycle time and organizational performance. Journal of Marketing Research, 34(1), 13-23. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 A.S. Ariffin, H. Lamsali, and S. Mohtar – The relationships between supplier ... 257 [33] Kaplan, R. S., & Norton, D. P. (1992). The Balanced Scorecard-Measures that Drive Performance. Harvard Business Review, 71-79. [34] Kleinschmidt, E. J., & Cooper, R. G. (1991). The impact of product innovativeness on performance. Journal of Product Innovation Management, 8, 240-251. [35] Lau, A. K. W. (2011). Supplier and customer involvement on new product performance: Contextual factors and an empirical test from manufacturer perspective. Industrial Management & Data Systems, 111(6), 910-942. [36] Lau, A. K. W., Yam, R. C. M., & Tang, E. P. Y. (2010). Supply chain integration and product modularity: an empirical study of product performance for selected Hong Kong manufacturing industries. International Journal of Operations and Production Management, 30(1), 20-56. [37] Lindgreen, A., Hingley, M., & Trienekens, J. H. (2008). Relationships, networks and interactions in food and agriculture business-to-business marketing and purchasing. British Food Journal, 110(No 4/5), 1-4. [38] Loasby, B. J. (1999). Knowledge, Institutions and Evolution in Economics. London: Routledge. [39] Maluenda, J. U. (2006). Support effectiveness. Unpublished master's thesis. Malardalen University. [40] Martino, G., & Polinori, P. (2011). Networks and organisational learning: evidence from broiler production. British Food Journal, 113(7), 871-885. [41] Menard, C., & Clein, B. (2004). Organizational issues in the agrifood sector: toward a comparative approach. American Journal of Agriculture Economics, 86(3), 750-755. [42] Oknkow, W., & Akubuo, C. (2001). Thermal analysis and evaluation of heat requirement of a passive solar energy poultry chick broader in Nigeria. Journal of Renewal Energy, 9(1). [43] Omta, S. W., Trienekens, J. H., & Beers, G. (2001). Chain and network science: a reseach framework. Journal of Chain and Network Science, 1(No 1), 1-6. [44] O'Raily, M., Wathey, D., & Gelber, M. (2000). ISO 14031: Effective mechanism to environmental performance evaluation: Corporate Environmental Strategy. 1(3), 267-275. [45] Peter, M. (1996). Early Supplier Involvement in Product Development, Disssertation. St. Gallen der University, St. Gallen. [46] Peterson, K. J., Handfield, R. B., & Ragatz, G. I. (2005). Supplier integration into new product development: Coordinating product, process, and supply chain design. Journal of Operation Management, 23, 371-388. [47] Pinsonneault, A., & Kreamer, K. L. (1993). Survey research methodology in management information system: An assessment. Journal of Management Information System, 10(2), 75-105. [48] Ragatz, G. L., Handfield, R. B., & Scannell, T. V. (1997). Success factors for integrating suppliers into new product development. Journal of Product Innovation Management, 14, 190-202. [49] Raymond, L., Julien, P. A., Carriere, J. B., & Lachance, R. (1996). Managing technological change in manufacturing SMEs: a multiple case analysis. International Journal of Technology Management, 11(3/4). [50] Rizzoni, A. (1991). Technological innovation and small firms: A Taxonomy. International Small Business Journal, 9(3), 31-42. [51] Roll, S. (2010). An empirical study of the supply chain relationships among strategy, flexibility and performance. Open University of the Netherlands, Amsterdam. [52] Rosenzweig, E. D., Roth, A. V., & Jr-Dean, J. W. (2003). The influence of an integration strategy on competitive capabilities and business performance: an exploratory study of consumer products manufacturers. Journal of Operations Management, 21(4), 437-456. [53] Ryu, S., Min, S., & Zushi, N. (2008). The moderating role of trust in manufacturer-supplier relationship. Journal of Business & Industrial Marketing, 23(1), 48-58. [54] Saad, M., & Patel, B. (2006). An investigation of supply chain performance measurement in the Indian automotive sector. Bechmarking: an International Journal, 13(1/2), 36-53. [55] Salavou, H. (2004). The concept of innovativeness: should we need to focus. European Journal of Innovation Management, 7(1), 33-43. [56] Salavou, H. (2005). Do customer and technology orientations influence product innovativeness in SMEs? Some new evidence from Greece. Journal of Marketing Management, 21, 307-338. [57] Sanchez, A. M., & Perez, M. P. (2005). Supply Chain Flexibility and Firm Performance: A conceptual model and empirical study in automotive industry. Journal of Operation Management, 17, 97-113. [58] Schilling, M. A. (2000). Towards a general modular systm theory and its application to interfirm product modularity. Academy of Management Review, 25(2), 312-334. [59] Schroeder, R. G., Bates, K. A. V., & Junttila, M. A. (2002). Resources-based view of manufacturing strategy and the relation with manufacturing performance. Strategic Management Journal, 23(2), 105-117. [60] Sezen, B. (2008). Relative effects of design, integration and information sharing on supply chain performance. International Journal of Supply Chain Management, 13(3), 233-240. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 258 A.S. Ariffin, H. Lamsali, and S. Mohtar – The relationships between supplier ... [61] Song, M. X., & M.E. Parry, M. E. (1997). A cross-national comparative study of new product development processes: Japan and the United States. Journal of Marketing, 61, 1-18. [62] Song, M. X., & Montoya-Weiss, M. M. (1998). Critical development activities for really new versus incremental products. Journal of Product Innovation Management, 15(4), 124-135. [63] Song, X. M., & Benedetto, A. D. (2008). Supplier's involvement and success of radical new product development in new ventures. Journal of Operations Management, 26(1), 1-22. [64] Sonnino, R., & Marsden, T. (2006). Beyond the divide: rethinking relationship between alternative and conventional food networks in Europe. Journal of Economics Geography, 6(2), 181-199. [65] Sporleder, T. I., & Wu, S. Y. (2006). Social capital and vertical ties in agrifood supply chain. Journal of Chain and Network Science, 6(1), 1-7. [66] Starr, M. K. (1965). Modular production - a new concept. Harvard Business Review (November-December), 131-142. [67] Stjenstrom, S., & Bengtsson, L. (2004). Supplier perspective on business relationship: Experiences from six small suppliers. Journal of Purchasing and Supply Management, 10, 137-146. [68] Svendsen, M. F. (2011). Marketing strategy and customer involvement in product development. European Journal of Marketing, 45(4), 513-530. [69] Takeishi, A. (2001). Bridging inter- and intra-firm boundaries: management of supplier involvement in automobile product development. StrategicManagement Journal, 22(5), 41-53. [70] Tan, K. C., Kannan, V. R., & Handfield, R. B. (1998). Supply chain management: supplier performance and firm performance. International Journal of Purchasing and Materials Management, 34(3), 2-9. [71] Teece, D. J., G.Pisano, & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509-533. [72] Threranuphattana, A., & Tang, C. S. (2008). A conceptual model of performance measurement for supply chains: Altrnate considerations. Journal of manufacturing technology Management, 19(1), 125-148. [73] Ulrich, K. (1995). The role of product architecture in manufacturing firm. Research Policy, 24(3), 419-440. [74] van Echtelt, F. E. A., Wynstra, F., Weele, V. A. J., & Duysters, G. (2008). Managing supplier involvement in new product development: a multiple-case study. Journal of Product Innovation Management, 25, 180-201. [75] Vonderembse, M. A., & Tracey, M. (1999). The impact of supplier selection criteria and supplier involvement on manufacturing performance. Journal of Supply Chain Management, 35(3), 33-39. [76] Webster, M. (2002). Supply system structure, management and performance: a conceptual model. International Journal of Management Reviews, 4(4), 353-369. [77] Worren, N., Moore, K., & Cardona, P. (2002). Modularity, strategic flexibility, and firm performance: a study of the home appliance industry. Strategic Management Journal, 23(12), 1123-1140. [78] Wynstra, F., & Ten-Pierick, E. (2000). Managing supplier involvement in new product development: a portfolio approach. Europen Journal of Purchasing and Supply Management, 6, 49-57. [79] Yaaghubi, A., Chizari, M., Pezshkirad, G., & Foeli, S. (2009). Importance of farm management skill from the viewpoint of Wheat farmers in Tafresh Township. Journal of Agricultural Economic and Development, 17(66), 99-114. [80] Zack, M., McKeen, J., & Singh, S. (2009). Knowledge management and organizational performance: an exploratory analysis. Journal of Knowledge Management, 13(6), 392-400. [81] Zailani, S., & Rajagopal, P. (2005). Supply Chain Integration and Performance: US versus East Asian companies. International Journal of Supply Chain Management, 10(5), 379-393. [82] Zelbst, P. J., Green, K. W., & Sower, V. E. (2009). Impact of supply chain linkages on supply chain performance. Industrial Management and Data Systems, 109(5), 665-682. [83] Zirger, B. J., & Hartley, J. L. (1994). A conceptual model of product development cycle time. Journal of Engineering & Technology Management, 11, 229-251. [84] Zirger, B. J., & Maidique, M. A. (1990). A model of new product development: an empirical test. Management Science, 36(7), 867-883. Cite this paper Ariffin, A.S., Lamsali, H., and Mohtar, S. (2012). “The relationships between supplier and customer involvements towards broiler business performance: An empirical investigation on Malaysian poultry industry,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 249-258. ISBN: 978-979-15458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 The History of Logistics and Supply Chain Santi Setyaningsih1,*, Yuri Bulandari2 1 School of Business and Management (SBM) - Institut Teknologi Bandung (ITB), Jl. Ganesha 10 (Gedung SBM-ITB), Bandung 40132, Indonesia 2 English Literatures - Faculty of Letters - Universitas Padjadjaran (Unpad), Jl. Raya Bandung-Sumedang Km 21, Jatinangor 45363, Indonesia Abstract. History is very important to learn because of the history people can learn things that can be developed in the future. History helps one understand the source of contemporary problems, how they arise and how their characteristics viewed through time. The purpose of this research was to map the history of the logistics from time to time. It can provide the knowledge to the reader about how to change the methods or the logistics from the beginning until today. Compare the differences with the supply chain so it will show the obvious differences between each other. Research on the history is offering distinctive perspective on the phenomenon that is compared with other research methodologies. It can display the cultural and ideological assumptions of the phenomenon that can affect the economic, social, and political in the long time. The research was conducted using historical research consist of heuristic, criticism and interpretation method. Heuristic method referred to the secondary data that was the summary of information derived from the data source then used internal criticism as verification of the data and after that did the interpretation method by data synthesis from heuristic and criticism method which has been done before. The aim was to allow the reader to understand the history of logistic and supply chain. Using heuristic methods, criticism and interpretation for this research, give the result of logistics and supply chain historical flow. The presence of differences in definitions of logistics and supply chain are based on the development, although logistics is the origin knowledge of the supply chain, but the coverage and the difference between the two of them was quite visible. The similarity between logistics and supply chain was equally taking care of the planning, design, implementation and management of product stream in the company. This study will interest them who want to see the development of logistics and supply chain, and also to understand the future potential scientific development for both of it and also its application in Indonesia. Keywords: History, Logistics, Supply Chain 1. Introduction Logistics is currently considered to be such a relief for many organizations that were previously seen as a burden. Logistics has played an important role in global development for nearly 5,000 years ago until now. * Corresponding author. E-mail address: [email protected] 260 S. Setyaningsih and Y. Bulandari – The History of Logistics ... Many argue said that the source of supply chain knowledge derived from the logistic, but not a lot of articles that described the development of logistics and supply chain since the first time that that knowledge has been born. Logistics involves planning, designing, implementing and managing the flow of products in a supply chain that aims to support the function of the system of procurement, distribution, packaging and manufacturing (Pokharel, 2005 in Pokharel and Xiong, 2007). Logistics is also recognized as an important factor for competitive advantage (Bowersox and Closs, 1996; Bowersox and Daugherty, 1995; Christopher, 1993 in Pokharel and Xiong, 2007) and it can be an important success factor of the company (Simchi-Levi et al., 2003 in Pokharel and Xiong, 2007). The development of logistics started since the construction of the pyramids in ancient Egypt around 2,700 BC which is an extraordinary step. Logistics is the basic form of a new historical era that can improve people's economy. One implication is the development of marine cargo containers and the creation of the service delivery system in the 20th century. Those explanations were an integral part of this globalization. Meanwhile for the supply chain, various definitions have been spread in recent years. The concept of supply chain began to be popular in the developments of the company today. APICS (American Production and Inventory Control Society) (Cox, et al., 1998 in Lummus et al., 2001) described that the supply chain as the processes that take place from the beginning of raw materials to the final consumption which is the final product, this system connects to all of the suppliers and users of the company. Other definition came from the Council of Supply Chain Management Professionals (2008) described that the current supply chain is only the integration of several supply chain operations within the company (internal integration) and across the company (external integration) (Talavera, 2008). The early development of the supply chain begins with a rapid response system that evolved into the ECR (Efficient Consumer Response) in the food industry. Until nowadays, the development of the supply chain is very fast and many industries have begun to look at and apply this process. The development until nowadays, explain that there are several opinions among practitioners and academics about the differences in definitions of logistics and supply chain. In this present study will be discussed in advance about the history of logistics and supply chain which will be further discussions regarding the definition, scope, diversity, similarity between the logistics and supply chain. A study of history offers valuable perspectives that can be used to view the current situation. We will see the background of the factors that affect and differentiate the current situation compared to the past. History helps people to understand the source of contemporary problems, how they arise and how their characteristics viewed through time (Mason, et al., 1997). Looking at the past can help a person to imagine the future (Neustadt and May, 1986 in Richard, et al., 1997). 2. Literature Review There are some researchers who have conducted researches on the history of logistics and supply chain, such as Cattani and Mabert (2009) which discusses the insights gained from their investigation about a new contribution to the design of supply chains in a historical context. In other than that, they provide a historical perspective by highlighting some of the past development of the supply chain, discuss ideas and concepts that exist today and show the direction of supply chain design in the future. Explanation of the history of logistics is divided into sections such as inventory systems, supply systems, and others, but it does not refer to the development from the beginning until now. Research of Lummus, et al. (2001) describes the relationship between logistics and supply chain management is the development of a common industry definition. Elaboration done by looking at the early history of logistics and definitions from decade to decade, so did the supply chain. With these explanations, the study concludes with the known differences between the two of them is in terms of implementation has been done by several companies. Presented only to explain the history of the beginning logistics and supply chain, on its development to date is described and only a change of definitions from several sources. Bowersox, et al. (2009) in his book, Supply Chain Logistics Management describes the “Supply Chain Logistics Management” is an interesting and promising to improve the program and strengthen the traditional logistics supply chain management program, conducted by examining traditional logistics issues within the context of the supply chain. “Supply Chain Logistics Management” integrates technology and provides a solid foundation that clearly describes the role of logistics in supply chains, describing the full view of this further by showing how to maximize the results to be obtained when using all parts of the supply chain. The book describes the latest trends in process integration, relationship management, security and sustainable use of the supply chain, globalization, and economic impacts for consumers and companies on supply chain management. Based on these studies, the presence of a study outlining the history from time to time on logistics and supply chain which is in turn can be concluded about the differences in definitions, coverage and differences in The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 S. Setyaningsih and Y. Bulandari – The History of Logistics ... 261 activity between them and the similarities between the two. Departing from this thing then it formed an idea in this article that history is an important thing to set out, and the history that followed the history of the international community, because that is where all of the logistics and supply chain continues to grow up into the system are known and applied in various companies in the world today. 3. Research Methodology This research was the study of history with emphasis on the history of logistics and supply chain. In general, historians have examined the systematic research of past events to give a historic value. Research may involve the interpretation to recapture the feel, personality, and ideas that are affected by an event and the results are expected to communicate an understanding of past events (Elena, 2010). The study of history offering distinctive perspective on the phenomenon that compared with other research methodologies. It can show the cultural and ideological assumptions of the phenomenon that can affect the economic, social, and political side in the long term (Mason, et al, 1997). This study used three measures that usually used in the other study of the history. Those were the system of heuristics, criticism and interpretation. Heuristic was the first step in the study of history to hunt, gather and share data sources related to the problem that being studied, and in the present study used secondary data which is a summary of information derived from historical data. Criticism was done internally by looking at the contents of the exposure if it can be proved that history is correct, while the interpretation was done by synthesizing the data that has been researched, clearly written as it is not only to explain to the individual but also to the other readers should understand the flow of history (the Garraghan and Delanglez, 1946). Processed data can be seen in the table. Table 1 : Research Methodology Action Heuristics Input The Materials about the history of the activity flow logistics and supply chain Journals related to the development of logistics and supply chain from decade One explanation of the flow activities to decade and it is often referred as a of logistics and supply chain reference journal, the journal has been published in the International Activity Search for materials to obtain sources of information Formal statement of cristicism findings Assessment of sources on the basis of and heuristics that support the writing evidence point of view of historical new data flow and presentation. Method Search to the website search journals, books, and supporting data on the flow of activities of logistics and supply chain history. Document review and make notes based on primary sources or secondary sources Search the journal associated with the flow of history. Classification of journals that are divided into history, the semantics of the journal, applications, etc. Supporting the existence of truth in the phrase historical journal. Benchmarking statements on the course of history with other journals. Classification the year of the journal. The comparison between the data flow statements logistics and supply chain activities and other data sources. Writing materials. One explanation of the flow activities of logistics and supply chain Journals related to the development of logistics and supply chain from decade to decade and it is often referred as a reference journal, the journal has been published in the International Writing articles the flow of history and the explanation of the definition in a structured way and the supporting statement refers to the previous data, so that the data flow will become a new history flow. Output Critic Interpretation 4. Data Process and Analysis After the research methodology then it followed with the data processing and data analysis. The third stage consists of heuristics, criticism and interpretation are a proper simple procedures for the achievement of historical truth. The following table will explain the data needed for overall stages: The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 262 S. Setyaningsih and Y. Bulandari – The History of Logistics ... Table 2 : Research Supporting Data Author Classification Lummus, R.R, et al . Larson, Paul D., et al . Year 2001 Semantic Research 2007 Title The Relationship of Logistics to Supply Chain Management: Developing a Common Industry Definition Perspectives on Logistics vs SCM: A Survey of SCM Professionals Talavera, M.G.V. 2008 Supply Chain Collaboration in The Philippines Foxton, P D 1994 Powering War: Modern Land Force Logistics Source Explanation Industrial Differences in definitions between Management and the logistics and supply chain and the Data Systems coverage Journal Journal of Business Logistics Journal of International Business Research 4 Perspective of the difference between logistics and supply chain in terms of its scope Penjelasan mengenai tingkat kolaborasi rantai pasok di Filipina dalam bidang manufaktur dan jasa perusahaan Book Comparison of American and Japanese logistics in World War II Management of Infrastructures: What can Management the Developers Learn Decision Journal from the History of Railways? Sherwood's buccaneering style runs aground Robert Wright traces the Newspaper chequered history of Sea Containers, built upon a strong individual's whims Comparison of the development of the railroad with the Internet Suomi, Reima 2005 Wright, Robert 2006 Bistričić, Ante 2007 Shipbuilding Projects from a Shipyard’s Perspective Management and the Role of the Bank Journal in the Project Lifetime De Zoysa, Anura 2007 Standard Costing in Japanese Firms Reexamination of its Significance in the New Manufacturing Environment Liggio, Lenard P. 2007 The Hanseatic League and Journal of Private History of the Hanseatic League Freedom of Trade Enterprise formed 2007 Al Andalus in Andalusia : History of the Andalusian region in Negotiating Moorish ProQuest Science which there are explanations the History and Regional Journal formation Mezquita Mosque Identity in Southern Spain 2009 Production and Supply Chain Design: Past, Inventory Present and Future Management Journal 2009 RFID in the Healthcare Supply Chain : Usage and Application International Journal of Healthcare Quality Assurance 2010 Supply Chain Management Strategy, Planning and Operation Book Logistics History RozogenSoltar, Mikaela. Cattani, K.D and Mabert, V.A Kumar, S., et al . Chopra, Sunil and Meindl, Peter Supply Chain History BizDevelopment 2011 BizDevelopment 2011 Supply Chain Management: Historical Development Supply Chain Management: Traditional and Modern View to Supply Chain An explanation of the logistics system for moving containers as a form of evolution of world trade Greek Revolution in the presence of inter-continental trade with ships Testing the changes of Japan's Industrial manufacturing environment that has Management and reduced the importance of standards Data Systems in the cost of Japanese companies Journal related to JIT and Kanban Share some insights that gained from investigations into recent contribution to the design of supply chains in the context of a long history in the design of supply chains Determination of efficiency and cost effectiveness of healthcare supply chain in which the implementation of radio frequency identification devices (RFID). Explanation of the history of the beginning the supply chain and the details of activities undertaken in the supply chain Website Stages of development of the supply chain from the 70s Website Implementation the differences between the two decades os supply chain The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 S. Setyaningsih and Y. Bulandari – The History of Logistics ... 263 5. Findings Over these years, there are so many arguments between the practitioners and the professional field operation and that is about the difference and also the development between the two terms of “logistic” and “supply chain”. The utilization both of the terms are different for each company by looking first to the history from each of the terms which can help to differentiate the definitions, scopes, and also the similarity between the terms. 5.1. History of Logistics A growing globalization is where the efficient logistic becoming an important matter for a superiority on its competitive globalization. According to common understanding, logistic is an activity which concerns a physically goods movement from one location to another, and to find out more, this is the logistic activity from time to time: Fig. 1: History of Logistics a) The Pyramid Construction (2700 BC) The technology system on handling the pyramid construction in the ancient egypt was done by the tons of rock blocks movement which were carried from a place with a considerable distance to a specific site where the pyramid would be built. Building the Great Pyramid of Giza, with a 146 metre height and 6 tons weigh, Egypt needed a sophisticated transportation which could carry the large equipment like blocks or other tool carriers. Although until today the researches still find the difficulties to explain how it could be happened, but it can be confirmed that there were good logistic activities on the ancient era to finish the pyramid (Cattani and Mabert, 2009). b) Trading Between Continental (200 BC) The Greek revolution can be seen on the establishment of a boat which was an early transcontinental trade system. A revolutioner invention of this boat made a foundation of a rapidly occurence of travel across the open ocean, this matter pointed on a huge logistic supply invention. This system was needed by the soldiers on that era. Alexander the Great used this logistic for his campaign with his troops, family and war weapons which expanded to India (Bistričić, 2007). c) Mezquita Mosque (700 C) In the South of Spain, Andalusia, there were founded some remnants of Islamic civilization which once ruled, for example at Córdoba. In the eight century, The Great Mosque Córdoba (the Mezquita), which was known as The Roman Catholic Cathedral became a pride of moslem architecture in the west at that time. The mosque was built over the land of the church of St. Vincent which was bought from the local Christian community before it was destroyed. The procurement of logistics for building Mezquita Mosque came from all part of the Islamic empire. The construction of the mosque which covered 23,400 m2 area was lasted for two centuries and carried out several stages. The construction of Mezquita Mosque in Córdoba, Spain was began on 756 C under the leadership of Caliph of Cordoba in the Umayyah Dinasty. In this case shows that the logistic was very important in that era (Rozogen-Soltar, 2007). The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 264 S. Setyaningsih and Y. Bulandari – The History of Logistics ... d) Hanseatic League ( 1200 C) The International Network was known as Hanseatic League, in this matter was the cooperation system for a combined transportation and international sea transportation. In 1199, a centre of north sea transportation was built for Hanseatic League. The purpose was to make the sea journey safer and present the business importance internationally. More than 200.000 feathers was carried by Hanseatic ship. Hanseatic commerce expanded from the Dark Sea to Ravel. In a modern point of view, the crossborder trading is identical with Europe commerce. With the existence of international commerce, the development on logistic system is more visible to develop throughout the world (Liggio, 2007). e) The Railroad (1800 C) The discovery of the new road for the transporting goods and train expanded the logistic duty through the new technology and new transportation vehicle. The usage of steam machine, vehicle invention, train, ship, and also the crude oil discovery were significant toward the new economic era and also discover a new mission on the transportation system, new equipment and chance for the logistic (Suomi, 2005). f) Military Logistics (1949 C) During the World War II (1939-1945), the logistic developed rapidly. The United State army and partners proved to be better in handling the logistic than the Germany army. The supply location of the Gemany army was having a serious damage and Germany could not force that same thing to an opponent. United States military ensured that the system operation and supply was available at the right time and right place. They also tried to provide the system operation whenever and wherever it was needed, with the most optimal and economical way. The improvement of performance was constantly being developed. It was also spawned several techniques of the logistic military that were still used in a modern way (Foxton, 1994). g) Sea Container (1956 C) The discovery of transportation which used a container in the sea was a world trade structural evolution and one of the world commodity flow explosion. This invention was done by Malcolm Mclean P. Which impacted the condition of hamper production in all of world industry and for the other impact was a change of habituality consumptioon. Moreover, the big impact these days are a harbour can get the big contracts and their territories are very popular, many new markets are emerging, and also products from all parts of the world can be bought and sold with a reasonable price. With this way, the container gives a significant contribution in globalization in which it is the part of the logistics (Wright, 2006). h) Kanban-JIT (1970-1980 C) Kanban and Just In Time were a particular logistic concept which emphasized on procurement goods system or products. This system was introduced in Japan on Toyota Motor Company by Taiichi Ohno with an effective purpose which was connecting the logistic outside the company to the operasional function of the company. The system was in the company operational, which was a part of the logistics (De Zosya and Herath, 2007). i) QR and ECR (1990 C) QR (Quick Response) and ECR (Efficient Consumer Response) are a logistic concept which emphasizes in a specific distribution. This technology was developed in 1990s and has been implied in many retails and wholesale company. It has a huge impact on the logistics. The result of this concept is the centre distribution works in moving goods and not saving it. This matter will faster the logistics rotation. It also will accelerate the company to faster their action on the development of efficiency supply market products (Lummus, et al. 2001). j) Supply Chain (2000 C) The logistics these days are becoming more develope to be a supply chain management. The management of supply chain is overall looking to the supliers or vendors until it gets unto the customer hand. This term has already developed on a significant usage since the last 1980s. Today, the management of supply chain is being considered as a holistic matter and a business key in a company, and a very interactive system, complex, and needs a monitoring which is related to the purpose of expediting the products or goods flow from a producer to the consumers. From the development, therefore, the logistics are a part of the supply chain management. The supply chain is not only a nickname for the logistics, but also included in the definiton of logistics, like an intergration of information system and a coordination of planning and controlling activities (Lummus, et al. 2001). The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 S. Setyaningsih and Y. Bulandari – The History of Logistics ... 5.2. 265 History of Supply Chain The supply chain has been developed for the last 50 years. A decade difference gives a change, so until now the supply chain have an important thing in a company. The supply chain produces a half of company cost because the width and complexity of company function (manufacture, warehouse, and distribution). These matters are not efficiently giving an extraordinary negative impact for the company. On the other side, a good supply chain can take a great benefit and become a competitive superiority for the company. Fig. 2: History of Supply Chain a) Supply Chain in 1970s In 1970s companies was focusing on their internal change. This change focused on the reduction of supply and distribution cost with the decreasing of inventory level and the lead time reduction target and focused on safety stock decreasing. There were external side of company pressure which were the increasing of fuel oil price and 20% rate of interest, this matter was pushing more the company to focus on transportation and supply management (Biz Development, 2011). b) Supply Chain in 1980s In 1980s there were 3 big changes in the supply chain. The first change was produser focused on supply chain structure with highlighted the cost operation and assets. The second change was the shift from cost reduction in the supply chain which became a repair service for customer, whereas the third change was internal logistic integration in the company. The beginning of supply chain can be traced in a small industry by a QR (Quick Response) and also ECR (Efficient Consumer Response) program. In foodstuff company, a supply chain can result a great loss for the industry, because it is a big possibility there will be lack of products at the right place and a right time. QR is a partnership where the retailers and the suppliers works together to make a quick respond on the customers needs by sharing information. Besides, a group of grocery industry leaders make a shared industry called ECR working group. This group have a duty to check the foodstuff supply chain to identify a chance for making a more competitive supply chain (Lummus, et al. 2001). c) Supply Chain in 1990s Customer service still becomes the focal point of a company. The company is doing a new covenant with the partners, and also doing a description with flow details on company distribution. A company begins to realize the importance of forming an external partnership, so that emerges the logistic intergration. For about 60% from all of the companies has made a very significant progress towards an intergrated logistic, either on the company or with partners of company. An emphasize in the integrated supply chain appeared in the last 1990s. A model of this integrated supply chain between one company with another is devided into 5 sections (Chopra and Meindl, 2010). The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 266 S. Setyaningsih and Y. Bulandari – The History of Logistics ... Fig. 3: Supply Chain in 90’s d) Supply Chain System 2000s The establishment of a new technology in supply chain, like RFID (Radio Frequency Identification) and the other technologies are continued to show up and innovate. A small change in technology is required to improve its performance, beside RFID (Radio Frequency Identification) there is also a further about the EDI (Electronic Data Interchange) and POS (Point of Sale). If the system is applied, substantially will increase the whole performance of supply chain (Kumar, et al., 2009), an increase in demand from both of the products and the cooperation between the members of the supply chain is emerged. As a result, there is a strategic growth in both of the national supply and the international chain. Meanwhile, the globalization has increased, the enviromental, social and security consideration continues to play a large role in the supply chain decision. A modern concept from the supply chain more progresive than the traditional. Based on the old model is often happened a contradiction from one section with the other section because of the conflicting goals. This situation is causing the unefficient supply chain and unresponsiveness to the customer needs. Therefore, a company has improve the integration level in the whole supply chain. The following graphic is the representation of the new layout organization. Fig. 4: Supply Chain in 2000 The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 S. Setyaningsih and Y. Bulandari – The History of Logistics ... 267 The new layout increases relations and opens the key which is the power of supply chain. A modern concept about supply chain becomes a tool to a creation and also increases an improvement of the company value. The companies these days are broadly using a sophisticated information technology, clarifying the supply chain condition which is covering the structure, supplying a new segment of customers, and expanding the portfolio of customer service (Biz Development, 2011). 6. Discussion Based on the developments of the origin science of logistics and supply chain said that logistics begun first appear and after that produce supply chain knowledge. It can also be said that logistics was the parent of the supply chain. However, the situation that happens now is the scope of supply chain logistics that more extensive than even the logistics part of the supply chain. Starting at the age of the pyramids in Egypt which making the use of logistics that is in the context of the rocks provision which has not seen an efficiency in that logistics. The development of logistics nowadays, emphasizing the efficiency and responsiveness, the first development is QR (Quick Response) and ECR (Efficient Consumer Response) as a benchmark the logistics. Until now logistics evolved to the present direction of the supply chain RFID (Radio Frequency Identification) so that the exchange of information between the parties involved in the supply chain run smoothly and its effects can to the acceleration of the flow of goods. Growing interest in the supply chain, several authors have discussed the differences between the two of it. Cooper, et al. (1997) in Lummus, et al. (2001) stated that “the contemporary understanding of the supply chain is not too different from the understanding of the integrated logistics management”. However, there are other authors who suggest that a broader understanding of the supply chain, where the supply chain “includes the integration of business processes from the original suppliers who provides products, services, and information that have added value to customers through to the end user. Supply chain is not just another name of the logistics, but it has integration with information and coordination of planning and control activities. “ Giunipero and Brand (1996) in Lummus, et al. (2001) stated, “In a broader context, the supply chain is a strategic tool that is used to improve overall customer satisfaction that is intended to enhance corporate competitiveness and profitability.” They added that “the CEO led the company to implement leading supply chain, to visualize the needs and focus on creating business processes in order to make more effective and efficient.” Based on the description of history of logistics and supply chain, logistics was the movement of the flow of goods in one of the activities of the project which includes the procurement of goods, warehousing, transportation within the project and this has not been associated with other entities such as suppliers and customers, it was seen from the construction of the pyramids to the Kanban and JIT. Unlike the case of supply chains, that has started to relate to other entities such as distributors, customers and suppliers as well as in it focuses on efficiency and also the exchange of information between these entities. It can be seen from the application of the inventory and distribution efficiencies through the use of RFID, EDI or POS in companies that implement supply chain. Larson, et al. (2007) conducted a study that there are four perspectives in logistics system compared to the supply chain, i.e.: supply chain in the logistics, supply chain has the same area with logistics, the logistics are in the supply chain and logistics, and supply chain has the relationships with logistics but not a part of each other, there is a 3PL (Third Party Logistics) which is a liaison between logistics and supply chain in a company that makes both of them have comparable coverage. Based on its development from the beginning of logistics until the emergence of supply chain, it is more suitable concluded that supply chain is part of the logistics. However this is a conclusion with which only a superficial perspective that focuses on strategic and integrative aspects of logistics. Not just superficially, but also narrow, as to position the supply chain into a single function, namely logistics, but nowadays it has been developed in the direction of information flow. After rapid development in the supply chain up to this time, it can be concluded again that the appropriate perspective is applied that the logistics is part of the supply chain, where the perspective is deeper and wider in its implementation in the supply chain, because it includes the relationship with other parties such as distributors, customers and suppliers and not just think about the flow of products, but also understand the flow of information that can improve the efficiency and effectiveness of the logistics and supply chain. Johnson and Wood (1996) in Lummus, et al. (2001) also concluded that “the coverage of supply chain is greater than logistics”. Based on the translation, the logistics and supply chain have similarities and differences in the activity. The similarity of logistics and supply chain are equally taking care of the planning, designing, implementing and managing the product flow within the system. While the difference is logistics include of planning, design, The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 268 S. Setyaningsih and Y. Bulandari – The History of Logistics ... implementation, management, control and storage of goods and services from the starting point of an external company to the point of consumption for the purpose of customer needs within the company. Meanwhile the supply chain includes logistics flow, procurement management, production processes and the flow of information systems to monitor all activities at each point of the supply chain. The important thing in the supply chain is another company that starts to become partners and start working together to improve overall supply chain performance. 7. Conclusion The term of “supply chain” and “logistics” can be misleading and it has been seen as overlapping activities, it actually depends on the definition used by personnel or by an organization. The purpose of this article is to elaborate of the history of each activity that can be inferred about the difference between one another. From the explanation of the history, it will clarify the differences in scope, clarify the function of each and see the relationships between one another. This research used heuristic methods, criticism and interpretation to get the historical flow of logistics and supply chain. Stems from the emergence of logistics in the manufacture of the pyramids in Egypt are viewed from the aspect of the removal of rocks from one place to another, followed by the emergence of a continental flow of product in terms of continental trade, then the creation of railroads and with this thing, it can make the acceleration of the shift of product from one city to another. Furthermore, the presence of military logistics brings the faster development of logistics to the industries that eventually evolved into the supply chain. Actually the evolution of supply chain, begun from the logistics and it begun with a view to reducing the level of inventory and distribution costs with a target reduction in lead time and also a decrease in safety stock. Supply chain has changed and then it has QR and ECR systems, until finally there was a path to the information system by using RFID, EDI or POS which can improve the efficiency and effectiveness of such activities. Judging from history, logistics was the movement of product from one group to another group and then evolve to the supplies until the transportation of a project, it was not associated with other parties such as customers and suppliers. While the supply chain is not very different activity in the product stream from logistics, but this is already associated with outside parties such as customers, suppliers, distributors and others as well as the presence of the flow of information systems in the supply chain. The fundamental similarity of both of them was that logistics and supply chain take care of planning, designing, implementing and managing the product flow within the system while the difference lies in the participation information system in the supply chain and also the coverage of a supply chain is wider by involving other systems outside of its own compared to the logistics system. References [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] Bistričić, A. (2007), “Shipbuilding Projects from a Shipyard’s Perspective and the Role of the Bank in the Project Lifetime”, Management, Vol. 12, pp. 101-111. Biz-Development. (2011), “Supply Chain Management: Historical Development”, Downloaded 10th February 2012. Biz-Development. (2011), “Supply Chain Management: Traditional and Modern View to Supply Chain”, Downloaded 10th February 2012. Bowersox, D., et al. (2009), “Supply Chain Logistics Management”, McGraw-Hill. Cattani, K.D and Mabert, V.A. (2009), “Supply Chain Design: Past, Present and Future”. Production and Inventory Management Journal. Chopra, S. and Meindl, P. (2010), “Supply Chain Management Strategy, Planning and Operation”, Pearson, 4th Ed. De Zoysa, A. (2007), “Standard Costing in Japanese Firms Reexamination of its Significance in the New Manufacturing Environment”, Industrial Management and Data Systems, Vol. 107 No.2, pp. 271-283. Discover-Logistic. (2012), “The great logistics success story”, Downloaded 10th February 2012. Elena, T., et al. (2010), “Capturing the Historical Research Methodology: An Experimental Research”, International Journal on Digital Libraries11. 1 (Mar 2010): 25-36. Foxton, P D. (1994), “Powering War: Modern Land Force Logistics”, Brassey's, London. Garraghan, G.J. and Delanglez, J. (1946), “A Guide to Historical Method”, Fordham University Press, New York. Larson, P.D., et al. (2007), “Perspectives on Logistics vs SCM: A Survey of SCM Professionals”, Journal of Business Logistics, pp. 1. Liggio, L.P. (2007), “The Hanseatic League and Freedom of Trade”, Journal of Private Enterprise, pp. 134. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 S. Setyaningsih and Y. Bulandari – The History of Logistics ... 269 [14] Lummus, R.R., et al. (2001), “The Relationship of Logistics to Supply Chain Management: Developing a Common Industry Definition”, Industrial Management + Data Systems, pp. 426. [15] Kumar, S., et al. (2009), “RFID in the Healthcare Supply Chain: Usage and Application”, International Journal of Healthcare Quality Assurance, Vol. 22 No.1, pp. 67-81. [16] Mason, R.O., et al. (1997), “A Historical Method for MIS Research: Steps and Assumptions”, MIS Quarterly, pp.307. [17] Rozogen-Soltar, M. (2007). “Al Andalus in Andalusia: Negotiating Moorish History and Regional Identity in Southern Spain”, Anthropology Quarterly; Summer, ProQuest Science Journal, pp. 863. [18] Suomi, R. (2005), “Management of Infrastructures: What can the Developers Learn from the History of Railways?” Management Decision, pp. 896. [19] Talavera, M.G.V. (2008), “Supply Chain Collaboration in the Philippines”, Journal of International Business Research, Volume 7, Special Issue 2. [20] Wright, R. (2006), “Sherwood's buccaneering style runs aground Robert Wright traces the chequered history of Sea Containers, built upon a strong individual's whims”, Finacial Times, 1st ed, 14 Oct: pg.18. [21] Xiong, Z. and Pokharel, S. (2007), “Logistics in Hospitals: A Case Study of Some Singapore Hospitals”, Leadership in Health Service, Vol.20 No.3 pp.196-207. Cite this paper Setyaningsih, S., and Bulandari, Y. (2012). “The History of Logistics and Supply Chain,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 259-269. ISBN: 978-979-15458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 270 The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 Dynamic Supply Chain: A Study in Oil and Gas Industry Shatina Saad1,*, Zulkifli Mohamed Udin2 1 Faculty of Business Management - Universiti Teknologi MARA (UiTM), Shah Alam 40450, Selangor Darul Ehsan, Malaysia 2 School of Technology Management and Logistics (STML) - College of Business (CoB) - Universiti Utara Malaysia (UUM), Sintok 06010, Kedah Darul Aman, Malaysia Abstract. The motivation of this study is to understand the environment of dynamic supply chain on oil and gas industry in Malaysia by looking into the dynamic supply chain capabilities and dynamic supply chain performance. Oil and gas enterprise-wide optimization span a large spectrum in a supply chain, from the strategic to the tactical to the operational level and other various functions in the supply chain network, from purchasing of the raw materials through the refinery activities to the distribution and sales. Integrated and coordinated decision making across various geographically distributed refinery activities and storage sites also offers additional challenges to refinery operations optimization. While refinery facilities management is an integral part of enterprise-wide optimization, transportation logistics and finished product distribution management remain important parts of the oil and gas supply chain. Although, technical advancement and time were the core values aiming only for fast exploration and higher production of oil and gas, supply chain in the oil and gas industry can either make or break the project if careful attention and precautions are not taken seriously by players in an industry. Increasing economic volatility has severely disrupted the supply chains of companies across industries. Rapid swings in the availability and price of key commodities, major currency fluctuations, disturbance in financial markets, disruptive geopolitical events and continued development of customer channels on a global basis have conspired to place unique pressure on the way these companies source, manufacture and distribute products. Therefore, this study is to identify and understand the dynamic supply chain capabilities and dynamic supply chain performance as a whole perspective of dynamic supply chain on the oil and gas industry practices. Specifically, the dynamic supply chain capabilities and dynamic supply chain performance will be discussed in this study are the firm’s capabilities in the dynamic supply chain of oil and gas industry. Keywords: Dynamic capabilities, dynamic supply chain, oil and gas industry, supply chain management 1. Introduction Supply chain management (SCM) has received in recent years a great deal of attention by researchers and practitioners. Effective SCM will lead to a lowering of the total amount of resources required to provide the necessary level of customer service to a specific segment and improving customer service through increased * Corresponding author. Tel.: + 60-12-491-9521; fax: + 60-4-928-6860 E-mail address: [email protected] 272 S. Saad and Z.M. Udin – Dynamic Supply Chain ... product availability and reduced order cycle time [1]; engage in information exchange (forecasting techniques, inventory management, delivery) and structural collaboration (just-in-time system, outsourcing, vendor-managed inventory and co-locating plants) [2, 3]; relationships with downstream supply chain partners to create endcustomer value [4] and maximize benefits and minimize costs along the supply chain [5]. Thus, the nature of SCM becomes visible to participating companies with successful implementation in the ever changing global environment of the business world, risks abound and it greatly affects the decision making processes of the business management. According to Jain, Wadhwa and Deshmukh [6], a supply chain is a dynamic process and involves the constant flow of information, materials, and funds across multiple functional areas both within and between chain members. Members in the chain need to cooperate with their business partners in order to meet customer’s needs and to maximize their profit. However, it is a very difficult task in managing the multiple collaborations in a supply chain because there are so many firms involved in the supply chain operations with its own resources and objectives. The interdependence of multistage processes also requires real-time operation and decision making across different tasks, functional areas, and organizational boundaries in order to deal with problems and uncertainties. The strategic move of focus for mass customization, quick response, and high quality service cannot be achieved without more complex cooperation and dynamic structure of supply chains. Teece, Pisano and Shuen [7] identified a dynamic collaboration capability should help a company access, shift and leverage supply chain resources to rapidly respond to a changing competitive environment. A dynamic process also involves the simultaneous acquisition and continuous re-evaluation of partners, technologies, and organizational structures. Firms may encounter the same problems but they may have different awareness and potential solutions due to differences in their engagement of stakeholders. The more flexible and open of the firms to the issues there is more likely for them to explore, create, and invest in the dynamic capabilities [8, 9]. Therefore, firms that possess a dynamic collaboration capability should be able to sustain high performance levels over time. Uncertainty arises in realistic decision making processes and has a huge impact on the dynamic supply chain activities [10]. Environmental uncertainties in oil and gas industry lead to a need for higher reliability and flexibility within the production systems and the planning and control systems in the supply chain. Reducing these uncertainties will be achieved by understanding the root causes and how they interact with each other. Change in markets, products, technology, and competitors are occurring at an increasingly rapid pace [4, 11]. As a result, managers must make decisions on shorter notice, with less information, and with higher penalty costs. Therefore, a reliable yet flexible system is fundamentally needed to assist the management in making decisions that might prove to be the make-or-break decision for their companies. The purpose of this study is to understand the environment of dynamic supply chain on oil and gas (O&G) industry in Malaysia by looking into the dynamic supply chain capabilities and dynamic supply chain performance. O&G industry span a large scale in a supply chain, from the strategic to the tactical to the operational level and other various functions in the supply chain network, from the purchasing of the raw materials through the refinery manufacturing to the distribution and sales [10, 12]. Integrated and coordinated decision making across various geographically distributed refinery manufacturing and storage sites also offers additional challenges to refinery operations optimization. While refinery manufacturing facilities management is an integral part of enterprise-wide optimization, transportation logistics and finished product distribution management remain important parts of the O&G supply chain. Hence, this study is to identify and understand the dynamic supply chain capabilities and dynamic supply chain performance as a whole perspective of dynamic supply chain on the O&G industry in Malaysia practices. Specifically, the dynamic supply chain capabilities and dynamic supply chain performance will be discussed in this study are the internal firm’s and external firm’s capabilities and controlled by the environmental uncertainty in the dynamic supply chain of O&G industry. The internal firm’s capabilities representing the focal organization meanwhile the external firm’s capabilities representing the upstream and the downstream organization in the O&G industry. 1.1. Problem Statement Supply chain in the O&G industry for quite some time was not taken seriously by players in an industry where technical advancement and time were the core values aiming only for fast exploration and high production of O&G. Mohammad [13] stated that it was initially considered a “soft issue” in the industry until players beginning to realize that 80% of all operating expenses were spent on the supply chain system. They also noticed that they can either make or break the project if careful attention and precautions on the procurement or supply chain system were not taken seriously especially when the business environment was demanding while exploration and production were challenging and pushing them to their limit. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 S. Saad and Z.M. Udin – Dynamic Supply Chain ... 273 There are many ways to look at the O&G industry. From a personal perspective, O&G provide the world’s 6.9 billion people with 60 percents of their daily energy needs [14]. As fuels and as petrochemical feedstock, O&G are the raw materials used to manufacture fertilizers, fabrics, synthetic rubber and the plastics that go into almost everything people use these days, from toys to personal and household items to heavy industrial goods. From a business perspective, O&G represent global trade on a massive scale. Over 200 countries have invited companies to negotiate for the right to explore their lands or territorial waters, hoping that they will find and produce O&G, create local jobs and provide billions of dollars in national revenues [14]. Finally, from a health, safety and environmental perspective, there is a continuous concern for safety in O&G operations, the impact that new projects have on surface environments, the possibility of oil spills and the effect of pollutants such as CO2 (carbon dioxide, a product of hydrocarbon combustion) on global climate change and air quality [14]. The O&G business is clearly a multifaceted, global industry that impacts all aspects of one’s lives. And yet it is one that tends to take for granted until a crisis emerges-a tanker runs aground, a hurricane damages a refinery, a country changes political leaders or revises its energy policies. It was therefore not surprising that not many articles are published on dynamic supply chain specifically in an O&G industry to the related journals. Many of the articles found in the supply chain in journals or other publications prior to this have done research on the dynamic supply chains referring to the manufacturing, retailing and using modelling techniques as a method in deliberating the decision [2, 15-17]. Based on the previous studies conducted in Malaysia, several studies on the supply chain issues includes: value changes and multicultural complexity [13]; collaborative supply chain [18]; outsourcing [3] sustainability and environmental control [19]. Although there are many new technological breakthroughs in exploration and production [10, 20, 21], there has been insufficient development in dynamic supply chain strategies and methods. Many ideas have simply been taken on those used in other sectors or industry rather than considering the specific need of the O&G industry. Thus, this study will be focusing on exploring the dynamic supply chain capabilities and dynamic supply chain performance on the O&G companies in Malaysia. 1.2. Research Objectives Generally, the research objective is to examine and understand the dynamic supply chain capabilities and dynamic supply chain performance in the organizations specifically for O&G industry in Malaysia environment. The focus will be at the internal firm’s (focal) and external firm’s (upstream and downstream) capabilities of dynamic supply chain capabilities and dynamic supply chain performance and controls by the environmental uncertainty of the O&G industry. The research specific objectives are as follows: 1) To identify any association of internal firm’s capabilities and dynamic supply chain capabilities in the O&G industry in Malaysia. 2) To identify any association of external firm’s capabilities and dynamic supply chain capabilities in the O&G industry in Malaysia. 3) To explore environmental uncertainty factor control the internal firm’s and external firm’s capabilities and dynamic supply chain capabilities in the O&G industry in Malaysia. 4) To explore dynamic supply chain capabilities associate to dynamic supply chain performance of the O&G industry in Malaysia. 1.3. Significance Of Research From the theoretical perspectives, this study utilizes dynamic capabilities, industrial system, resource-based view and organizational learning theory. These theories discuss the importance of information and materials as unique resources in SCM for the competitive advantage. It will represent an exploratory study on dynamic supply chain capabilities and performance of the O&G industry in Malaysia. Furthermore, it will provide information to develop a better understanding of dynamic supply chain capabilities and dynamic supply performance towards strategies and decision made in the internal and external firm’s capabilities. From the managerial point of view, this study will benefit them in several ways. The results of this study will be expected to show the performance of dynamic supply chain on O&G industry. This will help the players in the industry to understand the progress and future actions that could improve the SCM competitiveness in of Malaysia. 2. Literature Review The petroleum industry can be characterized as a typical supply chain where all levels of decisions (strategic, tactical, and operational) may arise in it. Management of the petroleum supply chain is a complex task due to the large size of the physical supply network which dispersed over vast geography, complex refinery production operations, and inherent uncertainty. Shah, Li, and Ierapetritou [10] identify that uncertainty arises in rational decision making processes and has a vast impact on the refinery planning activities. Three major uncertainties The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 274 S. Saad and Z.M. Udin – Dynamic Supply Chain ... that should be considered in refinery production planning include: market demand for products; prices of crude oil and the saleable products; and product or production yields of crude oil from chemical reactions in the primary crude distillation unit Gattorna [22] identifies the dynamic supply chain as a concept of supply chain agility and flexibility. The two concepts define people is the most important in delivering the value. One need to change way of thinking from one functional specialism to the belief that the principles and practices embodied in supply chain and value networks type thinking. It should become a philosophy that permeates the enterprise owned and contributed to all functions. The dynamic capability viewpoint has had a significant impact on strategic management research in general and in research regarding organizations and the natural situation in particular. It offers the potential to extend and complement the Resource-based view (RBV) to create a more thorough understanding of the process by which firms undertake sustainable development strategies. The dynamic capabilities perspective, with its emphasis on variation within uncertain and dynamic markets, is particularly well suited to the study of supply chain management strategies. This is because the perspective in which firms develop capabilities to deal with these issues is highly complex and unclear [9]. 2.1. Oil and Gas Supply Chain Management Petroleum companies, also known as Oil and Gas (O&G) companies have formed a key part of the global economy for the last decade since petroleum or crude oil has become the main fuel source. By 2020, Malaysia will have a more diversified oil, gas and energy sector that remains vital to the nation development, and that builds on the nation’s competitive advantages. A key thrust not only to intensify exploration and enhance production from domestic reserves but also to develop a strong regional oilfield services and equipment hub and a stronger presence in the regional midstream logistics and downstream markets [23]. Malaysia’s national O&G Company, Petroleum Nasional Berhad (Petronas), holds exclusive ownership rights to all O&G exploration and production project in Malaysia. As Malaysia’s oil fields are maturing, the government is focused on enhancing output from existing fields and from new offshore developments of both O&G, which are expected to increase aggregate production capacity in the near- to midterm [24]. Among other major players in Malaysia O&G industry are Esso Malaysia Berhad and Shell Malaysia Limited. The majority of the country’s reserves are located off the east coast of Peninsular Malaysia and tend to be of high quality. Several new oil production projects have come online during the last few years, although Malaysia’s oil output declined somewhat in 2006. Average production for 2006 stood at 798,000 barrels per day (bbl/d), down 7% from 2005 levels. In 2006, Malaysia consumed an estimated 515,000 bbl/d of oil, with net exports about 283,000 bbl/d. According to Oil and Gas Journal, Malaysia had about 545,000 bbl/d of refining capacity at six facilities as of January 2007. Malaysia’s state-owned national oil company, Petronas, dominates upstream and downstream activities in the country’s oil sector. Petronas operates three refineries (259,000 bbl/d total capacity), while Shell operates two plants (200,000 bbl/d), and ExxonMobil one (86,000 bbl/d) [25, 26]. Shah, Li, and Ierapetritou [10] state that, a typical petroleum industry supply chain is composed of an exploration phase at the wellhead, crude procurement and storage logistics, transportation to the oil refineries, refinery operations, and distribution and transportation of the final products. The upstream activities (exploration, development and production of crude oil or natural gas) and downstream activities (tankers, pipelines, retailers and consumers) are two important activities in the petroleum industry [19]. SCM in O&G industry requires the company to integrate its decisions with those made within its chain of customers and suppliers. This process involves relationship management of the company to their customers and suppliers. A firm can create long-term strategic relationships with their suppliers and in most cases there is a collaborative process between the oil and gas company with its suppliers [5]. Generally, O&G companies view their supply chain configuration and coordination systems as worthy of improvement. Making necessary improvements over time allows the firm to gain competitive advantages in the marketplace. In the oil refinery industry, the supply-chain network is composed of shipping via vessel, oil tankers, and pipelines that may run across multiple countries. This network is used to transport crude from wellhead to refinery for processing, to transport intermediates between multi-site refining facilities, and to transport finished products from product storage tanks to distribution centers and finally to the customers. Any disruptions arising in the global supply chain can have tremendous adverse effects in achieving operational efficiency, maintaining quality, profitability, and customer satisfaction. The adverse events may happen due to uncertainty in supply of crude, demand, transportation, market volatility, and political climate. Hence, Shah, et al. [10] identify that to effectively model a supply-chain design problem, the dynamics of the supply chain ought to be considered and data aggregation techniques for the extensive data set should be employed. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 S. Saad and Z.M. Udin – Dynamic Supply Chain ... 275 2.2. Scope and Limitation of Research This study will be focusing on exploring issues on dynamic supply chain capabilities and dynamic supply chain performance on O&G industry only, thus the generalization cannot be done in other organizations and industry throughout Malaysia. The assumption of this study is that the major players in the O&G industry are doing the similar practices in managing their supply chain. In the exploration and production sectors of the oil and gas industry, the product is exactly the same for all competing firms with very narrow product differentiation. Thus, exploration and production companies can only differentiate themselves based on the ability to economically find and produce O&G more efficiently than their competitors. Even though exploration and production companies are unique in many fields, a differentiating factor can lie in the ability to adapt an SCM program. 3. Research Methodology This study will be an exploratory since not much is known about the situation of dynamic supply chain capabilities and performance in oil and gas industry in Malaysia environment. An in-depth study will be undertaken to better comprehend the nature of the problem, since very few studies have been conducted in the dynamic supply chain capabilities and performance [27-29]. In addition, when the phenomenon of interest is new, dynamic or complex, relevant variables are not easily identified and extant theories are not available to explain the phenomena. In this situation, a qualitative approach is often preferred in order to build understanding grounded in a detailed description of the phenomenon generated by collecting field data. It provides researchers with access to a deeper level of understanding of new or complex phenomena by yielding a high level of details [30, 31]. Yin [32] and Eisenhardt [31] give useful insights into the case study as a research strategy, but leaves most of the design decisions for further discussion for both the strengths and the weaknesses. It’s because it allows tailoring the design and data collection procedures to the research questions. On the other hand, this approach has resulted in many poor case studies, leaving it open to criticism, especially from the quantitative field of research. The fact that the case study is a rather loose design implies that there are a number of choices that need to be addressed in a principled way [33]. 3.1. Research Sample The concept purposive sampling will be employed for the study because the researcher will selects individuals and sites for the study. The decision need to be made about who and what will be sampled, what form the sampling will take and how many people or sites need to be sampled [28, 30, 34]. Since this study will be conducted in the O&G industry, gaining an in-depth insight into advanced practices which will later set the ground for the generation of proposition [35]. The snowball or chain case selection technique will be employed with the procurement and supply chain function in the focal organization as the unit of analysis [30]. 3.2. Case study Protocol Giminez [36] identifies the case study protocol as follows. The first step in the case methodology is to define the research questions. As stated before, the research objectives of this exploratory phase were: (1) To identify any association of internal firm’s capabilities and dynamic supply chain capabilities in the O&G industry in Malaysia, (2) To identify any association of external firm’s capabilities and dynamic supply chain capabilities in the O&G industry in Malaysia, (3) To explore environmental uncertainty factor control the internal firm’s and external firm’s capabilities and dynamic supply chain capabilities in the O&G industry in Malaysia and (4) To explore dynamic supply chain capabilities associate to dynamic supply chain performance of O&G industry in Malaysia. The following steps refer to the process of determining the unit of analysis. As supply chain management involves the integration along the supply chain, the most appropriate approach in the study would have been considering all elements in those chains such as retailers, third party logistics providers, refiners, purchasing centers, etc. But, due to the need of limiting the scope of the study, the study will focus on the upstream and downstream from the oil and gas industry in Malaysia. The most appropriate approach to analyzing these relationships will be to analyze particular upstream-focal-downstream organizations triad, but this approach was not possible due to the discretion of the interviewees to identify the supply chain partner they were talking about. In order to increase the reliability of the case study, an interview protocol and a case study database will be developed. With respect to how to link the data to the research questions, a chain of evidence will be established in order to allow any external observer to follow the derivation of any evidence from initial research questions to ultimate case study conclusions. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 276 S. Saad and Z.M. Udin – Dynamic Supply Chain ... After establishing the interview protocol and how to link the data to the research questions, interviews with five companies (two upstream, one focal and two downstream companies) will be conducted. Companies among the leaders in different product categories, and selected upstream and downstream companies will be selected among the top supply chain in O&G industry. Data collected will be introduced in the case database, which will be analyzed to obtain the conclusions. Other sources of evidence such as newspaper clippings and articles also will be used to corroborate and augment evidence. 4. Conclusions As a summary, since this is a conceptual paper, studies on dynamic supply chain capabilities and performance of O&G industry will be identified in several elements such as internal firm’s capabilities, external firm’s capabilities and environmental uncertainty. As previous studies looked at the variables separately few attempts were made to link between dynamic supply chain capabilities and dynamic supply chain performance. This study also will integrate the internal firm’s and external firm’s capabilities as they are considered crucial in ensuring the dynamic supply chain capabilities are well practiced. Having the environmental uncertainty as control to build dynamic supply chain capabilities as it will modifies dynamic supply chain performance and helps in any competitive advantage in the O&G industry in Malaysia. References [1] [2] [3] [4] [5] [6] [7] [8] [9] [10] [11] [12] [13] [14] [15] [16] Banomyong, R. and Supatn, N. (2011), “Developing a supply chain performance tool for SMEs in Thailand,” Supply Chain Management: An International Journal, Vol. 16, No. 1, pp. 20-31. Henry, C. C. and Barro, F. (2009), “Stakeholder theory and dynamics in supply chain collaboration,” International Journal of Operations & Production Management, Vol. 29, No. 6, p. 591. Raja Mazlan, R. M. and Ali, K. N., (2006) “Relationship between supply chain management and outsourcing,” in International Conference on Construction Industry, Padang, Sumatera Barat, Indonesia. Iyer, K. (2011), “Demand chain collaboration and operational performance: role of IT analytic capability and environmental uncertainty,” Journal of Business & Industrial Marketing, Vol. 26, No. 2, pp. 81-91. Chima, C. M. (2007), “Supply chain management issues in the oil and gas industry,” Journal of Business & Economics Research, Vol. 5, No. 6, pp. 27-36. Jain, V., Wadhwa, S., and Deshmukh, S. G. (2009), “Select supplier-related issues in modelling a dynamic supply chain: potential, challenges and direction for future research,” International Journal of Production Research, Vol. 47, No. 11, pp. 3013–3039. Teece, D. J., Pisano, G., and Shuen, A. (1997), “Dynamic capabilities and strategic management,” Strategic Management Journal, Vol. 18, No. 7, pp. 509-533. Jain, V., Wadhwa, S., and Deshmukh, S. G. (2009), “Revisiting information systems to support a dynamic supply chain: issues and perspectives,” Production Planning & Control, Vol. 20, No. 1, pp. 17-29. Hart, S. L. and Dowell, G. (2011), “Invited Editorial: A Natural-Resource-Based View of the Firm: Fifteen Years After,” Journal of Management, Vol. 37, No. 5, pp. 1464-1479. Shah, N. K., Li, Z., and Ierapetritou, M. G. (2011), “Petroleum refining operations: key issues, advances, and opportunities,” Industrial and Engineering Chemistry Research, Vol. 50, pp. 1161-1170. Defee, C. C. and Fugate, B. S. (2010), “Changing perspective of capabilities in the dynamic supply chain era,” The International Journal of Logistics Management, Vol. 21, No. 2, pp. 180-206. Pitty, S. S., Li, W., Adhitya, A., Srinivasan, R., and Karimi, I. A. (2008), “Decision support for integrated refinery supply chains: Part 1. Dynamic simulation,” Computers & Chemical Engineering, Vol. 32, No. 11, pp. 2767-2786. Mohammad, M. F., (2008) “Procurement strategies for the oil and gas industry: to capture changing values and dealing with multicultural complexity,” in International Conference on Construction and Building Technology, UNITEN, Malaysia, pp. 29-38. Petroleum Online. (2011, 17 November 2011). Oil and gas industry overview. Available: http://www.petroleumonline.com/ Wang, M., Wang, H., and Liu, J., (2007) “Dynamic supply chain integration through intelligent agents,” in 40th Annual Hawaii International Conference on System Sciences, 2007, Waikoloa, Big Island, Hawaii, pp. 46-46. Jun-jun, G., Yun, Z., and Xia, M., (2010) “A joint decision model of dynamic pricing and dynamic inventory in an apparel supply chain with demand learning,” in International Conference on Logistics Systems and Intelligent Management, 2010, Harbin, China, pp. 692-696. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 S. Saad and Z.M. Udin – Dynamic Supply Chain ... 277 [17] Fawcett, S. E., Wallin, C., Allred, C., Fawcett, A. M., and Magnan, G. M. (2011), “Information technology as an enabler of supply chain collaboration: a dynamic-capabilities perspective,” Journal of Supply Chain Management, Vol. 47, No. 1, pp. 38-59. [18] Udin, Z. M., Mohtar, S., and Othman, A. A. (2008), “Collaborative supply chain management: the hybrid knowledgebased development approach of suppliers-customers perspective,” Operations and Supply Chain Management, Vol. 1, No. 2, pp. 130-141. [19] Mohd Ali, N., (2009) “Sustainability of petroleum and environmental control in the Malaysian petroleum law.” [20] Firdaus, I., Razizad, A. S., Awang, M. Z., Razali, N., Osman, A. B., and Hadi, S., (2011) “Successful Execution of ‘D Field Compressed Gas Capacity Enhancement Integrated Turnaround’ (DuCIT), Peninsular Malaysia Operations, PETRONAS,” presented at the SPE Project and Facilities Challenges Conference at METS, Doha, Qatar. [21] Zailani, S., Premkumar, R., and Fernando, Y. (2008), “Factors Influencing the Effectiveness of Operational Information Sharing within Supply Chain Channels in Malaysia,” Operations and Supply Chain Management, Vol. 1, No. 2, pp. 85-100. [22] Gattorna, J., (2010) Dynamic Supply Chains: Delivering Value through People, 2 ed. Great Britain: Pearson Education [23] Performance Management and Delivery Unit,(2010) “Economic Transformation Handbook: A roadmap for Malaysia,” [24] Energy Information Administration. (December 2010, 1 February 2011). Malaysia energy data, statistics and analysis - oil, gas, electricity, coal. Available: www.eia.doe.gov/cabs/malaysia/oil.html [25] Ong, H. C., Mahlia, T. M. I., and Masjuki, H. H. (2011), “A review on energy scenario and sustainable energy in Malaysia,” Renewable and Sustainable Energy Reviews, Vol. 15, pp. 639-647. [26] Oh, T. H., Pang, S. Y., and Chua, S. C. (2010), “Energy policy and alternative energy in Malaysia: Issues and challenges for sustainable growth,” Renewable and Sustainable Energy Reviews, Vol. 14, No. 4, pp. 1241-1252. [27] Sekaran, U., (2000) Research methods for business. New York: John Wiley & Sons, Inc. [28] Kumar, R., (2011) Research Methodology: A step-by-step guide for beginners, 3 ed. London: Sage Publications. [29] Easterby-Smith, M., Thorpe, R., Jackson, P., and Lowe, A., (2008) Management Research, 3 ed. London: Sage Publications Ltd. [30] Creswell, J. W., (2007) Qualitative inquiry and reseach design: choosing among five research traditions. Thousand Oaks, CA: Sage publications. [31] Eisenhardt, K. M. (1989), “Building theories from case study research,” The Academy of Management Review, Vol. 14, No. 4, pp. 532-550. [32] Yin, R. K., (2009) Case study research, Fourth ed. Thousand Oaks, CA: Sage. [33] Meyer, C. B. (2001), “A Case in case study methodology,” Field Methods, Vol. 13, pp. 329-352. [34] Zikmund, W. G., Babin, B. J., Carr, J. C., and Griffin, M., (2010) Business Research Methods, 8 ed. Canada: SouthWestern Cengage Learning. [35] Foerstl, K., Reuter, C., Hartmann, E., and Blome, C. (2010), “Managing supplier sustainability risks in a dynamically changing environment--Sustainable supplier management in the chemical industry,” Journal of Purchasing and Supply Management, Vol. 16, No. 2, pp. 118-130. [36] Gimenez, C., (2005) “Case studies and surveys in Supply Chain Management research - Two complementary methodologies,” in Research methodologies in Supply Chain Management, Kotzab, H., Seuring, S. A., Muller, M., and Reiner, G., Eds., Heidelberg: Physica, pp. 315-330. Cite this paper Saad, S., and Udin, Z.M. (2012). “Dynamic Supply Chain: A Study in Oil and Gas Industry,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 271-277. ISBN: 978-979-15458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 278 The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 1 Best Papers The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 2 The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 Supplier Selection for Food Industry: A Combination of Taguchi Loss Function and Fuzzy Analytical Hierarchy Process Renna Magdalena1,* 1 Department of Accounting - Faculty of Economics - Universitas Pelita Harapan (UPH) Surabaya, Jl. Jend. A. Yani no.288, Surabaya 60234, Indonesia Abstract. Supplier selection is an important part of supply-chain management process by which firms identify, evaluate, and establish contracts with suppliers. Deciding the right supplier can be a complex task. As such, various criteria must be taken into account to choose the best supplier. This study focused on the supply in the packaging division of a food industry in Denpasar-Bali. A combination of Taguchi Loss Function and fuzzy-AHP (Analytical Hierarchy Process Fuzzy Linear Programming) was used to determine the best supplier. In this analysis, several suppliers’ criteria were considered, namely quality, delivery, completeness, quality loss and environmental management. By maximizing the suppliers’ performances based on each criterion and aggregating the suppliers’ performances based on the overall criteria, the best supplier was determined. Keywords: Supplier selection, Taguchi Loss Function, AHP, Fuzzy Linear Programming, Environment 1. Introduction Nowadays, supply chain management has received renewed interest in the industrial world. In particular, supplier selection problem is of great importance because it has a significant influence on the quality of the goods produced. Therefore, it is necessary to consider the essential parameters before arriving at the right decision for the supplier. Previously, supplier selection process has been based solely on price criterion, which resulted in companies engaging many short-term agreements with suppliers with the lowest price quotation. As time progresses, however, more emphasis has been put on several additional criteria other than the price. According to Sarkis and Talluri (2002), the buyer-supplier relationships based solely on price criterion are no longer applicable. The importance of supplier selection requires re-thinking of its procurement strategy and careful evaluation of the procurement decisions in order to be able to select the right supplier. The evaluation and * Corresponding author. Tel.: +62-31-5825-1007; fax: +62-31-5825-1020 E-mail address: [email protected] 4 R. Magdalena – Supplier Selection for Food Industry ... selection of suppliers in the modern context needs to incorporate more criteria, such as supplier quality, the risk of rejection of goods, and delivery time. This study examines the problems encountered by a food industry in Denpasar, Bali which currently selects a packaging supplier based solely on price criterion. The company management deems it necessary to assess other criteria in the supplier selection process. This research refers to the works by Indrapriyatna et.al. (2010), Sevkli et al. (2008) and Pi and Low (2005). The proposed method is an integration of fuzzy-AHP method and the Taguchi Loss Function for the process of selecting suppliers in a packaging division of this food industry in Denpasar. AHP is used to determine the relative importance of selection criteria. Taguchi loss function is used to determine the potential losses that occur as a consequence of the allocation of goods to each supplier based on predefined selection criteria. Fuzzy theory is used due to the fact that the characteristics of supplier selection problems tend to be fuzzy. The often encountered fuzziness (vagueness) in the selection process is a result of uncertainty and incomplete information from the selection criteria (Amid and O 'Brien, 2006). 2. Literature Review 2.1. Analytical Hierarchy Process Analytical Hierarchy Process (AHP) is a method discovered by Saaty (1994) (Nydick and Hill, 1992). It is a method for ranking several decision alternatives and selecting the best one when the decision maker has multiple objectives, or criteria, on which to base the decision (Taylor, 2010). The decision maker makes a decision based on how the alternatives compare according to several criteria. The decision maker will select the alternative that best meets the decision criteria. Numerical scores are assigned to rank each decision alternative based on how well the alternative meets the decision maker’s criteria. Guller (2008) said that AHP is very useful for managers to formulate the desired decision-making criteria, provide a guideline to determine the level of importance of different decision-making criteria, and then obtain the best decision. 2.2. Taguchi Loss Function Taguchi loss function (Quality loss function) is a method of measuring loss as a result of the product not meeting the standard specifications (Taguchi, 1989). The purpose of calculating loss is to quantitatively evaluate the quality loss caused by the variation. Loss Function considers the willingness of consumers to obtain a more consistent product and the company’s desire to produce products with low cost. Minimization of losses suffered by consumers is a strategy that encourages uniformity of the products and reduces costs of production and consumption. Taguchi loss is useful for the company to identify not only the rejected and reworked scrap but also the possibility of environmental pollution, the use of not long-lasting products, or other negative effects. Loss for the company is the cost due to deviation from the target value. The concept behind the Taguchi's Quadratic Loss Function (QLF) is to calculate the amount of loss for the company. QLF is a mathematical model that links quality loss to the value of money resulting from the deviation of the quality of the specification from the desired target. Loss in question is the cost of maintenance, the cost of failure, adverse effects to the environment such as pollution or excessive production cost. Based on the loss function approach, the quality characteristics measured by Taguchi can be divided into three categories, namely: Nominal the best: It is a quality characteristics value which can be positive or negative. Values are measured by predetermined target value. The closer it gets to the target value, the better the quality. Lower the better: It is a non-negative measurable characteristics with respect to the ideal value of zero. The nearer it gets to zero, the better the quality. Higher the better: It is a non-negative measurable characteristics value with respect to the ideal value of infinity. The closer it approaches infinity, the better the quality. Formulation for the loss function is as follows: k (S2 +[y- m]2] ) (1) k (S 2 y 2 ) (2) 1 3 S 2 k 2 1 2 y y (3) a. Nominal the best (L) = b. Lower the better (L) = c. Higher the better (L) = The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 R. Magdalena – Supplier Selection for Food Industry ... 5 where: k= A0 20 L = loss y = measured value k = loss constant m = target S2 = variance of distribution y = average distribution A0 = cost due to loss ∆0 = tolerance 2.3. Taguchi Loss Function Fuzzy Linear Programming is a method of linear programming using the consideration of human thinking in distinguishing qualitative information. By using this method, the conditions arising from the dominant subjectivity and intuition can be resolved, not only based on the assumption of certainty as in the typical linear programming. Bellman and Zadeh (1970) suggested a fuzzy programming model for decision making in a fuzzy environment. Later, their method was first used by Zimmermann (1978) to solve fuzzy multi-objective linear programming problems. In addition to Zimmermann, there are also other studies which used fuzzy-AHP approach, such as Sevkli et al. (2008) and Indrapriyatna et al. (2010). In this sub-section, the general fuzzy multi-objective model for supplier selection for m criteria is described in the following equation: n max Z K Cki . X I Z k0 , where k 1,2,3,...., m i 1 and constraints: n X i 1 i (4) 1 (5) where: Zk = objective function for criteria k Cki = supplier value for criteria k Xi = the i-th supplier min max Every objective function value, Zk, changes linearly from Z k to Z k . So it may be considered as a min max fuzzy number with the linear membership function zk as shown in Figure 1. Z k and Z k are obtained through solving the multi-objective problem as a single objective. Fig.1: Fuzzy linear membership function If Equation (4) is added to the value of non-negativity of the Xi suppliers, it will be the following linear Program (Zimmermann, 1978): m Max Z wk k (6) k 1 subject to: λk ≤ μZk Xi ≥ 0 (7) The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 6 R. Magdalena – Supplier Selection for Food Industry ... m w k 1 k 1, wk 0 (8) Where wk and Zk represent the solution of membership function, weighting coefficients that present the relative importance among the fuzzy goals and membership function of the objective function. λk is the minimization of the objective function μZk. AHP method is often combined with Fuzzy Linear Programming in the decision-making process. Fuzzy objective and fuzzy constraint used in the optimization of Fuzzy Programming vagueness serve to accommodate the information that occurs in the supplier selection problem with no precise criteria (Zimmerman, 1978). The combination of AHP-Fuzzy Linear Programs has been demonstrated by Sevkli et al. (2008). Pi and Low (2005) combined the AHP with the Taguchi Loss Function in the selection of suppliers. Indrapriyatna, et al. (2010) utilized AHP-Fuzzy-Taguchi combination in his works. This study adds another criterion (environmental management) and utilize Taguchi Loss Function (Zimmerman, 1978), which will then be integrated with the AHP and resolved by fuzzy linear programming. 3. Research Methodology The steps to find a good supplier for the company by integrating the Taguchi Loss Function with Fuzzy AHP are schematically described as follows (workflow of this research is shown in figure 2 ): Fig. 2: Diagrammatic representation of the research workflow The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 R. Magdalena – Supplier Selection for Food Industry ... 7 1) Determine the suppliers and select the criteria for the supplier selection. This step can be done by interviewing the purchasing Head, the QC head, and the head of production. 2) Develop hierarchical structure of the supplier selection. Perform pairwise comparison of each of the selection criteria and pairwise comparison of the supplier (for each criterion) that can later be used to calculate the weight of the criteria and the weight of the suppliers for each criterion. From the pairwise comparison, Consistency Ratio (CR) can be calculated. If CR ≤ 0.1, then the results of the evaluation criteria correspond to acceptable suppliers. 3) Calculate the value of loss by looking for data from the last three months by using equation (1), (2) or (3) based on predetermined criteria. Subsequently, the weighted Taguchi loss for each supplier is calculated. The value of weighted Taguchi loss is the sum of the multiplication of the weight criteria with the loss criteria. Normalized value of the weighted Taguchi loss is obtained by dividing the value of the total loss weighed Taguchi with the Taguchi loss weighted value of each supplier 4) Construct the supplier selection model according to the criteria, weighted Taguchi loss, constraint and min max suppliers. Find the lower bound Z 0 and upper bound Z 0 to solve the multi-objective supplier selection problem as a single-objective linear programming model. Use lower bound and upper bound of the objective functions to find the membership function for each criterion in equation (4) and equation (5). 5) Based on AHP-Taguchi Loss weighted model, formulate the equivalent crisp model of the fuzzy optimization problem according to equations (6), (7) and (8). Solve problem using Scilab software. 6) Find the optimal solution of the original multi-objective supplier selection problem. 4. Result and Discussion Based on interviews with the Head of Purchasing, Head of QC Section and Head of Production, it was found that all packaging suppliers offer similar prices. This implies that the price criterion is no longer relevant to be used as a basis in selecting suppliers. Based on some historical data, it is agreed that there are four criteria to be used in the selection of suppliers, i.e. quality, delivery, completeness and environmental management. Quality is measured from how close the goods are to the manufacturer's specifications. Delivery is measured from the ability of suppliers to deliver the goods on time according to the agreed arrangement. Completeness is measured from the degree of matching between the amount of goods provided by the suppliers and the amount ordered by the company. Finally, environmental management is measured from the physical condition of the supplier’s workplace with respect to the company standards. In our case, the company has three possible suppliers for packaging: Supplier1, Supplier2 and Supplier3. Calculation of weights was carried out using the AHP supplier. After selected the suppliers and established the suppliers’ criteria, pairwise comparisons were carried out to find out the normalized weighted value of each supplier and each criterion. Pairwise comparison for each supplier for each criterion can be seen in Table 1. Pairwise comparison for each criterion can be seen in Table 2. Table 1. Pairwise comparison for suppliers Quality Supplier 1 2 3 1 1.00 2.00 3.00 5.00 Completeness Supplier 1 1 1.00 2 4.00 3 2.00 7.00 2 0.50 1.00 2.00 4.50 2 0.25 1.00 0.25 1.50 3 0.33 0.50 1.00 1.83 3 0.50 4.00 1.00 5.50 weight CI=0.003 0.163 0.297 0.539 1.000 CR = 0.005 weight 0.133 0.655 0.211 1.000 CI=0.027 CR=0.047 Delivery Supplier 1 2 3 1 1.00 3.00 0.33 4.33 2 0.33 1.00 0.25 1.58 3 3.00 4.00 1.00 8.00 weight 0.272 0.608 0.120 1.000 CI=0.037 Environmental Management Supplier 1 2 3 1 1.00 0.25 0.33 2 4.00 1.00 2.00 3 3.00 0.50 1.00 8.00 1.75 3.33 weight 0.123 0.557 0.320 1.000 CI=0.009 The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 CR=0.064 CR=0.016 8 R. Magdalena – Supplier Selection for Food Industry ... Table 2. Pairwise comparison for criteria Criteria Quality Delivery Completeness Environmental Quality 1.000 0.500 0.500 0.333 Delivery 2.000 1.000 0.500 0.500 Completeness 2.000 2.000 1.000 1.000 Environmental 3.000 2.000 1.000 1.000 weighted 0.423 0.271 0.162 0.144 CI= 0.015 CR =0.017 For quality criteria, the normalized weighted value of Supplier1, Supplier2, and Supplier3 are 0.163, 0.297, and 0.539, respectively, and the Consistency Index (CI) is 0.003. For delivery criteria, the normalized weighted value of Supplier1, Supplier2, and Supplier3 are 0.272, 0.608, and 0.120, respectively, and the CI value is 0.037. For completeness criteria, the normalized weighted value of Supplier1, Supplier2, and Supplier3 are 0.133, 0.655, and 0.211, respectively, and the CI value is 0.027. For environmental management criteria, the normalized weighted value of Supplier1, Supplier2, and Supplier3 are 0.123, 0.557, and 0.320, respectively, and the CI value is 0.009. The value of Consistency Ratio (CR) is obtained by dividing CI with Random Index (0.58). If CR < 0.1, it means the degree of consistency is satisfactory. Since CR for all of our results it means that the management evaluation for all criteria is acceptable or consistent. The normalized weighted value for each criterion, i.e. quality, delivery, completeness, and environmental management, are 0,423; 0,271; 0.162; and 0,144, respectively. Based on the January-March 2012 records in the Purchasing Department, the following data for goods deficit, amount of defective products as received from suppliers, suppliers’ performance based on delivery criteria and environmental management data were obtained as shown in Table 3. Historical data for defective products were used for the Quality criteria. If supplier delivers a product matching the specification, the assigned value is 0, and 1 if otherwise. Delivery historical data were used for delivery criteria. If supplier delivers ontime, the assigned value is 0 and if the delivery is late, the assigned value is 1, with unit of weeks as the reference. Goods deficit data were used for the completeness criteria. If supplier deliver goods precisely as ordered, 0 is assigned, and 1 if the amount is less than that in the purchase order. For these four criteria, the loss calculation used the-lower-the-better method. Historical data for supplier environmental management criteria were obtained from the auditing process on the suppliers’ working environment. This assessment was carried out by a professional in the field of environmental audit. If the suppliers’ physical condition meets the company standards, 0 is assigned, and 1 if otherwise. Criteria specification limits and the corresponding penalties imposed on the suppliers should there be violations against the rules are shown in Table 4. The specification limits and the penalties were determined by the company according to the contract agreed upon with the supplier, based on the memo from the Head of Purchasing Department. Table 3. Historical data Goods Deficit Data Supplier Month A January 1 February 0 March 0 Late Delivery Data Supplier Month A January 0 February 0 March 1 B 1 0 0 B 0 0 0 C 0 0 0 Defective Products Data Supplier Month A B January 1 0 February 0 1 March 1 0 C 0 0 1 C 0 1 0 Non-recyclable Products Data Supplier Month A B January 1 1 February 0 1 March 0 1 C 1 1 0 Table 4. Criteria specification limits and costs due to violations Criteria Quality Delivery Completeness Environmental management Target 0 (no defective products) 0 (punctual) 0 (amount of goods as ordered) Tolerance max 3 at most 4 days max 3 Loss calculation lower the better lower the better lower the better Cost 85000 75000 85000 0 (meets the standard) 1 (sub-standard) lower the better 60000 The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 R. Magdalena – Supplier Selection for Food Industry ... 9 The loss values of each criterion were calculated from equation (2), while the weighted Taguchi value is the loss value multiplied by the weight value of each criterion. The calculation of loss, weighted Taguchi, and normalized values are summarized in Table 5. Table 5. Loss value calculation for each criterion quality delivery completeness environmental management weighted Taguchi normalized 1 52469 10417 20988 133333 47617 0.231 2 20988 0 20988 600000 98678 0.479 3 20988 10417 0 333333 59701 0.290 Based on pairwise comparison of suppliers for each criterion and calculated normalized loss, a multiobjective fuzzy linear programming model to select packaging supplier was developed. This stage involves construction of multi-objective linear programming model as a single-objective supplier selection problem using only one objective each time. The multi-objective linear programming of our application is presented as max Z1 to Z5. Max Z1 = 0.163 X1 + 0.297 X2 + 0.539 X3 Max Z2 = 0.272 X1 + 0.608 X2 + 0.120 X3 Max Z3 = 0.133 X1 + 0.655 X2 + 0.211 X3 Max Z4 = 0.123 X1 + 0.557 X2 + 0.320 X3 Max Z5 = 0.231 X1 + 0.479 X2 + 0.290 X3 S/T X1 + X2 + X3 = 1 X1, X2, X3 ≥ 0 Then, the linear membership function is used for fuzzifying the objective functions and the constraints for min max the above problem. The data set for the values of the lower bounds Z k and upper bounds Z k of the objective functions are provided in Table 6. Table 6. Data set for the membership functions Z1-Quality Z2-Delivery Z3-Completeness Z4-Environmental Management Z5- Loss Z kmax (μ=1) Z kmin (μ=0) 0.539 0.608 0.655 0.557 0.479 0.163 0.120 0.133 0.123 0.231 In this stage, the membership functions for five objective functions and the constraints are provided to maximize the performance of suppliers related to each main supplier selection criterion. To exemplify, we take the performance assessment criteria to show the membership function of Z1. The objective of each membership function is to maximize the supplier criteria and minimize the loss value. The membership functions are formulated as shown earlier in Figure 1. The membership functions of supplier selection model for food industry are formulated as shown in Figure 3. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 10 R. Magdalena – Supplier Selection for Food Industry ... Fig. 3: The membership function of supplier selection model for food industry The fuzzy multi-objective formulation of the application as in equations (4) and (5) is shown below. Max Z1 = 0.163 X1 + 0.297 X2 + 0.539 X3 Max Z2 = 0.272 X1 + 0.608 X2 + 0.120 X3 Max Z3 = 0.133 X1 + 0.655 X2 + 0.211 X3 Max Z4 = 0.123 X1 + 0.557 X2 + 0.320 X3 Max Z5 = 0.231 X1 + 0.479 X2 + 0.290 X3 S/T X1 + X2 + X3 = 1 X1, X2, X3 ≥ 0 ≥ ≥ ≥ ≥ ≥ Z10 Z 20 Z 30 Z 40 Z 50 After the membership functions were obtained, with the help of equations (6), (7), and (8), the single Taguchi Loss Function-Fuzzy-AHP can be constructed as follows: Max w1 S/T λi ≥ (0.423 λ1 + 0.271 λ2 + 0.162 λ3 + 0.144 λ4) + w2 (λ5) Z kmax Z k ( x ) Z kmax Z kmin Xi = 1 Xi ≥ 0 0 ≥ λ1, λ2, λ3, λ4, λ5 ≥ 1 The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 R. Magdalena – Supplier Selection for Food Industry ... 11 w1 is weight for criteria and w2 is weight for the loss, where w1 + w2 = 1. Based on discussions with the head of purchasing and production, the obtained value for w1 is 0.8 and the value for w2 is 0.2, such that: Max 0.3384 λ1 S/T + 0.2168 λ2 + 0.1296 λ3 + 0.1152 λ4 + 0.2 λ5 0.539 (0.163X1 0.297 X 2 0.539 X 3 ) 0.539 0.163 λ2 ≥ 0.608 (0.272 X 1 0.608 X 2 0.120 X 3 ) 0.608 0.120 λ3 ≥ 0.655 (0.133 X1 0.655 X 2 0.211X 3 ) 0.655 0.133 λ4 ≥ 0.557 (0.123 X 1 0.557 X 2 0.320 X 3 ) 0.557 0.123 λ1 ≥ λ5 ≥ 0.479 (0.231X1 0.479 X 2 0.290 X 3 ) 0.479 0.231 X1 + X2 + X3 = 1 X1, X2, X3 ≥ 0 0 ≥ λ1, λ2, λ3, λ4, λ5 ≥ 1 After the model of Taguchi loss function is created, the problem is solved using Scilab software to obtain X1 = 1, X2 = 0 and X3 = 0, meaning that the selected supplier is Supplier 1. When each value of Xi is substituted into the objective function, Zi values are obtained. Z1 = 0.163, Z2 = 0.272, Z3 = 0.133, Z4 = 0.123, Z5 = 0.231 λ1 = Z 1 = 1 λ2 = Z 2 =0.689 λ3 = Z 3 =1 λ4 = Z 4 =1 λ5 = Z 1 =1 The obtained values for each membership function show that the achievement levels of Z1– quality criteria, Z3 – completeness criteria, Z4 – environmental management criteria and Z5 – loss are higher than Z2 – delivery criteria. In other words, the achievement level of the objective functions corresponds to the priority of supplier selection criteria (based on decision maker’s preferences) and indicates that Supplier 1 is selected as the optimum supplier. 5. Conclusion and Recommendation The aim of this study was to perform supplier selection to choose the best supplier by integrating the Taguchi Loss Function with Fuzzy-AHP with respect to several criteria, namely the quality, delivery, completeness, and environmental management. Based on the results of data processing, it can be concluded that by integrating the Taguchi loss function with Fuzzy-AHP, Supplier 1 was found to be the best packaging supplier alternative. Future studies are expected to add other criteria, such as risk factors and uncertainty factors. In addition, further research can use other methods such as combining fuzzy-AHP method with a utility function. References [1] Amid, A., Ghodsypour, S. H., and O’Brien, C. (2006), “Fuzzy Multiobjective Linear Model for Supplier Selection in a Supply Chain”, International Journal Production Economics, Vol. 104, pp. 394–407. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 12 R. Magdalena – Supplier Selection for Food Industry ... Bellman, R.G. and Zadeh, L.A. (1970), “Decision making in a fuzzy environment”, Management Science, Vol. 17 No. 2, pp. 141-64. [3] Guller, M. E. (2008), “Incorporating Multi-Criteria Considerations into Supplier Selection Problem Using Analytical Hierarchy Process: A Case Study”, Journal of Yasar University,Vol. 3 No. 12, pp. 1787-1810. [4] Indrapriyatna, A. S., Meuthia, Y., Fatrias, D, Gusti, Monalisa, G. (2011), “ Integrasi Taguchi Loss Function dengan Fuzzy Analytical Hierarchy Process dalam Pemilihan Pemasok”, Jurnal Teknik Industri, Vol. 13, No. 2, pp.65-73. [5] Nydick R., and Hill R. P. (1992), “Using the Analytic Hierarchy Process to Structure the Supplier Selection Procedure”, International Journal of Purchasing and Materials Management, Vol. 28 No. 2, pp. 31-36. [6] Pi, W. N., and Low, C. (2005), “Supplier Evaluation and Selection Using Taguchi Loss Functions”, The International Journal of Advanced Manufacturing Technology, Vol. 26, pp. 155–160. [7] Saaty, T. L. (1994), “Fundamentals of Decision Making and Priority Theory”, RWS Publications, Pittsburgh. [8] Sarkis, J., and Talluri, S. (2002), “A Model for Strategic Supplier Selection”, Journal of Supply Chain Management, Vol. 38 No.1, pp. 18-29. [9] Sevkli, M., Koh, S. C., Lenny, Zaim, S., Demirbag, M., and Tatoglu, E. (2008), “Hybrid Analytical Hierarchy Process Model for Supplier Selection”, Journal of Industrial Management and Data Systems, Vol. 108 No.1, pp. 122142 [10] Taguchi, G., Elsayed A. E., and Thomas C. S. (1989), “Quality Engineering In Production System”, Mc-Graw Hill Book Company. [11] Taylor, B. W. (2010), “Introduction to Management Science”, 10th ed, Prentice Hall, New Jersey. [12] Zimmermann, H. J. (1978), “Fuzzy Programming and Linear Programming with Several Objective Functions”, Journal of Fuzzy Sets and Systems, Vol. 1, pp. 45-55. [2] Cite this paper Magdalena, R. (2012). “Supplier Selection for Food Industry: A Combination of Taguchi Loss Function and Fuzzy Analytical Hierarchy Process,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 3-12. ISBN: 978-979-15458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 Comparison of Environment Impact between Conventional and Cold Chain Management System in Paprika Distribution Process Eidelweijs A. Putri1,2,*, Kiyoshi Dowaki1, Gatot Yudoko2, Kenji Koido1 1 Department of Industrial Administration (IA) - Tokyo University of Science (TUS), 1-3 Kagurazaka, Shinjyuku-ku, Tokyo 162-8601, Japan 2 School of Business and Management (SBM) – Institut Teknologi Bandung (ITB), Jl. Ganesha 10 (Gedung SBM-ITB), Bandung 40132, Indonesia Abstract. Pasir Langu village in Cisarua, West Java is the largest central production area of paprika in Indonesia. In agriculture sector, the boycott of product including for paprika commonly occurs and would become a major problem. Through the behavior, the paprika is unfit for market in retailer side finally. In average, for every 200 kg of paprika the rejection number is 3 kg. This situation caused money loss for wholesalers and waste. In one year they can lose approximately IDR 11,700,000 because of paprika’s boycott. The cold chain is a logistic system that provides a series of facilities for maintaining ideal storage conditions for perishables from point of origin to the point of consumption in the food supply chain. The cold chain refers to the transportation system which is managed by the temperature sensitively. That is, we consider the supply chain due to cold energy and refrigerated packaging and the logistics to secure the integrity of the product shipment. Therefore, the paprika wholesalers in Pasir Langu village recently are developing cold chain management system to maintain quality of paprika so that number of rejection can be reduced. The objective of this study is to compare environmental impact between conventional and cold chain management system in paprika distribution process using Life Cycle Assessment (LCA) methodology and propose Photovoltaic (PV) system in paprika distribution process, and we propose the environmentally friendly distribution system so as to secure the quality of products. The result implies that the cold chain system produces more CO2 emission compared to conventional system. However, due to the promotion of PV system, the emission would be reduced. For future research, it is necessary to reduce CO2 emission from transportation process since this process is biggest contributor of CO2 emission at whole distribution process. Keywords: LCA, Environmentally friendly distribution, Paprika, Cold chain, PV system 1. Introduction The demand pull created by an agro-industrial enterprise stimulates businesses well beyond the closest links with its direct input suppliers and product buyers; a whole range of ancillary services and supporting activities in the secondary and tertiary sectors of the economy are also positively impacted. Because of the generally * Corresponding author. Tel.: +81-906-0100-499; fax: +81-4-7122-4566 E-mail address: [email protected] 14 E.A. Putri, K. Dowaki, G. Yudoko, and K. Koido – Comparison of Environment Impact ... perishable and bulky characteristics of agricultural products, many agro-industrial plants and smaller-scale agroprocessing enterprises tend to be located close to their major sources of raw materials [1]. In addition, the boycott due to poor quality of agriculture products such as rotten and overripe one, etc commonly occurs and becomes a major problem in distribution process of agriculture products. This condition also happens for paprika. In Indonesia, paprika is categorized as valuable vegetable. Pasir Langu village in West Java province is the largest central production of paprika in Indonesia. The boycott of paprika is occurring in a retailer side because of rotten one. In average, for every 200 kg paprika the rejection number is 3 kg and it is likely to be equal to IDR 45,000. That is, the paprika wholesalers would lose their money of approximately IDR 11,700,000. The aspects due to paprika not only caused the financial loss for both farmers and wholesalers but also produce the waste. Therefore, the paprika wholesalers in Pasir Langu village develop the cold chain management system to maintain paprika quality recently. Cold chain is a logistic system that provides a series of facilities for maintaining ideal storage conditions for perishables from point of origin to the point of consumption in the food supply chain [2]. The cold chain refers to the transportation system which is managed by the temperature sensitively. That is, we consider the supply chain due to cold energy and refrigerated packaging and the logistics to secure the integrity of the product shipment [3]. A cooling process of fresh fruit and vegetables before processing them removes heat around them, and that would inhibit decay and help maintain moisture content, sugars, vitamins, and starches, while the quick freezing of processed fresh fruit and vegetable maintain the quality, nutritional value, and physical properties for extended periods [4]. On the other hand, due to the promotion of cold chain management system, that is, the system, which requires electricity for pre-cooling and storage in cold circumstance and fossil fuel for refrigerated transportation, would generate more CO2 emission compared to the conventional one. The impact of agriculture on the environment is an extremely important issue since the ecological influence for natural resources is already overstrained. In general, the agricultural impact on nature is well known and the agricultural environmental indicators have been developed for national monitoring systems. Thus, the efficient methods to comprehend the agricultural impacts on the environment indicators with sustainable factors are significantly required [5]. Therefore, the objectives of this study are to propose the cold chain management system and estimate CO2 emission against the conventional one by using LCA methodology. In addition, in order to abate its impact, we propose the advanced system of paprika distribution process with PV system. The result from this study would be contributed to the development of cold chain management system so as to keep environmentally friendly condition and to maintain the paprika quality. 2. Method 2.1. LCA Methodology LCA is a technique that aims at addressing the environmental aspects of a product and their potential environmental impacts throughout that product’s life cycle. The term product refers to both goods and services. A product’s life cycle includes all stages of a product system, from raw material acquisition or natural resource production to the disposal of the product at the end of its life, including extracting and processing of raw materials; manufacturing; distribution; use; re-use; maintenance; recycling; and final disposal (i.e., cradle-tograve) [6]. The most well-known application of LCA can compare the total environment impact of a product or service with an alternative (comparable) product or service. LCA is often considered as a tool that provides the answer to the question of which product has least environmental impact [7]. The tasks with suppliers and supply chain issues are rapidly increasing as an important strategic consideration. Traditionally, enterprises manage suppliers in order to optimize the supply chain, the flow of information, the materials and funds, and the logistics of supply and distribution, minimize cycle times and costs in order to integrate processes and functions for the supply chain. A life cycle management framework is for the improvement which is continuous and based on a full system or a life cycle perspective; thus, the supply chain management practices are an entry gate for a life cycle management [8]. A LCA methodology was used to analyse distribution process of paprika in Pasir Langu village. The system boundary of paprika distribution process in Pasir Langu village is shown in Fig. 1. In the distribution process, there are four main processes such as cultivation, transportation from greenhouse to wholesaler, packaging, and transportation from wholesaler to retailer. Based on these conditions, the CO2 emissions from our proposed systems were estimated and the environmental impact was argued. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 E.A. Putri, K. Dowaki, G. Yudoko, and K. Koido – Comparison of Environment Impact ... 15 Fig. 1: System Boundary of Paprika Distribution Process in Pasir Langu Village 2.2. Scenarios and Data Collection In this study, there are three scenarios of calculating CO2 emission both for conventional and cold chain management system. These scenarios are based on the differences of distance from greenhouse to wholesaler and from wholesaler to retailer. First scenario is calculating the farthest distance, second scenario is calculating the nearest distance and third scenario is calculating the average distance. The data collection was conducted through an interview, a field observation, and a review of secondary data. The interviews in Pasir Langu village were conducted with key workers from paprika business such as farmers and wholesaler in order to clarify the factors on paprika distribution process in the life cycle stage. The field work regarding paprika distribution process in Pasir Langu village was implemented in April to September 2011. The observations include the site visits to paprika’s greenhouse and wholesaler. Secondary data was collected by websites, books, national and international journal. 3. Result and Discussion 3.1. LCA Conventional System A LCA methodology in this study was used to calculate the CO2 emission from four main processes at paprika distribution system in Pasir Langu village (see Fig. 2). Eq. (1) was used to calculate CO2 emission. ECO2 j = ∑ Ai x FEi (1) where, Ai is the direct or indirect energy input of i-th energy source (electricity, fertilizers, and fuel), FEi is the ith specific emission factor. The suffix of j is represented as the elements of cultivation, transportation from greenhouse to wholesaler, packaging, and transportation from wholesaler to retailer, respectively. There are three scenarios for estimating CO2 emission based on the differences of distance both in transportation from greenhouse to wholesaler and transportation from wholesaler to retailer. Fig. 2: Paprika Distribution Process: Conventional System (1) Cultivation According to the farmers’ interview, the greenhouse area was assumed to be 1000 m2, in which 4,000 paprika plants can be plant. A cultivation period of paprika per one cycle would require 8 months or 32 weeks. Every paprika plant consists of 5 step harvesting processes and 3 pieces of paprika with average weight of 150 g The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 16 E.A. Putri, K. Dowaki, G. Yudoko, and K. Koido – Comparison of Environment Impact ... would be yielded in each process. That is, the annual average yields for every 1000 m2 greenhouse would be 9,000 kg. A cultivation process consists of two main processes, seedling and planting. Both seedling and planting processes was done in the same greenhouse, so for electricity and fertilizers usage was calculated as one unit for both processes. In the paprika cultivation process, the following factors are necessary; charcoal husk as a media planting, poly bags which are made by plastics, water, seed, pesticides, fertilizers, and electricity which uses for some equipment of a pump and a lamp operation. From those inputs, the indirect CO2 emissions of fertilizers and electricity should be considered and the rests are ignored. The farmers in Pasir Langu village generally use “AB Mix fertilizers” which consists of N, P, and K in cultivation process and the annual consumption is 960 kg/yr. Also, they have to pay IDR 200,000 in average on electricity fee of 5 greenhouses to government electricity company (PLN). Using the data from the government electricity company, we estimated the average electricity consumption of 87.91 kWh/yr for each greenhouse. Here, note that the price per kWh is IDR 455 and the annual electricity consumption is 703.297 kWh in the total. Table 1 is shown factor emission for each variable. Based on those data, the CO2 emissions of both consumption of electricity and fertilizers are 2.098 gCO2 per paprika and 3.2 gCO2 per paprika, respectively. Using Eq. (1), the total CO2 emission from cultivation process is 5.298 gCO2 per paprika. Table 1: Factor Emission No 1 2 3 4 Variable Electricity Fertilizers (N,P,K) Gasoline Diesel Factor Emission 0.179 kgCO2 / kWh 0.2 kgCO2 / kg fertilizer 2.31 kgCO2 / L 2.68 kgCO2 / L Source [9] [10] [11] [11] (2) Transportation from greenhouse to wholesaler In average, a truck with 1 ton capacity goes to 10 greenhouses for collecting paprika every day. The load capacity is 50 kg due to the limitation of space. The farthest distance is 1.5 km, the nearest is 0.5 km, and the average from greenhouse to wholesaler is 0.95 km, and it is assumed that the frequency of truck is 4 operations of 0.5 km case, 3 ones of 1 km case and 3 ones of 1.5 km case every day. The fuel consumption of the truck is 15 km/L. Using Eq. (1), the CO2 emissions of transportation from greenhouse to wholesaler for the farthest, the nearest, and the average distance are 0.693 gCO2 per paprika, 0.231 gCO2 per paprika, and 0.439 gCO2 per paprika, respectively. (3) Packaging The packaging process is doing at wholesaler in Pasir Langu village. The packaging house, in average, has to pay IDR 150,000 per a month for electricity. Therefore, assuming that price per kWh is IDR 455, the average electricity consumption per a month for packing and sorting them is 329.67 kWh per a month, that is, 10.989 kWh per a day. In one day, the packaging house can receive around 500 kg paprika in order to be sorted and packed. Thus, using Eq. (1), the total CO2 emission from packaging process is 0.590 gCO2 per paprika. (4) Transportation from wholesaler to retailer The wholesaler distributes paprika for export and local market through retailer and directly to the traditional market. For the export market, there is the case that paprika from Pasir Langu village is export to Singapore. The paprika for local market is distributed through local distributors who distribute to restaurants and/or supermarkets. The wholesaler has to send paprika three times per a week for each market. The distance from Pasir Langu village to exporter is 60 km, and that of local distributor is 20.4 km and that to the traditional market has 29 km. Thus, the total distance from wholesaler to retailer is 36.467 km in average. The Wholesaler sends the products of 100 kg to 400 kg to exporter. Those of 200 kg to 500 kg for local distributor, and of 100 kg for traditional market are delivered. In the distributing paprika to retailer, a truck is required 15 km/L of gasoline. This 1 ton’s truck has an average load weight of 233.3 kg paprika for each trip. As we mentioned before, there are three scenarios to calculate CO2 emission based on the distance from wholesaler to retailer. Using Eq. (1), the CO2 emissions from transportation process from wholesaler to retailer for each scenario are 5.940 gCO2 per paprika, 2.020 gCO2 per paprika, and 3.610 gCO2 per paprika, respectively. As a result, the total CO2 emissions at paprika distribution process for each scenario are shown in Table 2. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 E.A. Putri, K. Dowaki, G. Yudoko, and K. Koido – Comparison of Environment Impact ... 17 Table 2: CO2 Emission in gCO2 per paprika at Paprika Distribution Process: Conventional System Process Cultivation (Seedling and Planting) Transportation (from greenhouse to wholesaler) Packaging Transportation (from wholesaler to retailer) TOTAL CO2 Emission from whole system Farthest Distance 5.298 0.693 0.590 5.940 12.521 Nearest Distance 5.298 0.231 0.590 2.020 8.139 Average Distance 5.298 0.439 0.590 3.610 9.937 Fig. 3: Percentage CO2 Emission of the farthest distance at Each Process: Conventional System. Fig. 4: Percentage CO2 Emission of the nearest distance at Each Process: Conventional System. Fig. 5: Percentage CO2 Emission of the average distance at Each Process: Conventional System. The percentage of CO2 emission from the farthest distance (see Fig. 3) shows that transportation from wholesaler to retailer is the highest CO2 emission (47.4%), while that of CO2 emission from the nearest distance and the average distance (see Figs. 4 and 5) shows that cultivation process is highest CO2 emission (65.1% and 53.5%). The emissions of gasoline and fertilizers usage are attributed to the highest CO2 emission. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 18 E.A. Putri, K. Dowaki, G. Yudoko, and K. Koido – Comparison of Environment Impact ... 3.2. LCA Cold Chain Management System Next, the cold chain management system (see Fig. 6) is assumed to be implemented in Pasir Langu village in order to maintain the quality of paprika and reduce the boycott products. Since December 2011, the cold storage was built in Pasir Langu village. The cold storage is equipment in cold chain. The cold storage is a box made of insulated walls, ceiling and floor that fitted with an insulated door. It is kept at a pre-set temperature by refrigeration machinery. In this system, the refrigerated transportation will be used to carry paprika from wholesaler to retailer. In the cold chain management system, pre-cooling and storage are required to be done in cold storage. This process is done at wholesaler after packaging process. The facility area of cold storage in Pasir Langu village is 24 m3 and that is able to store 2,700 kg of paprika for 7 days. At that time, the electricity consumption to operate the cold storage is 54.601 kWh per a day, that is, 382.204 kWh per a year. Using Eq. (1), the CO2 emission from pre-cooling and storage is 3.801 gCO2 per paprika. Fig. 6: Paprika Distribution Process: Cold Chain Management System. On the other hand, since the refrigerated transportation is also required to carry paprika from wholesaler to retailer in order to keep temperature condition of paprika, the quality of paprika can be maintained. Based on interview, the fuel consumption for refrigerated transportation is 4 km/L or 0.25 L/km, so total fuel consumption for one trip from wholesaler to retailer is 10.05 L. Using Eq. (1), the CO2 emission of the farthest, the nearest, and the average distance are 25.843 gCO2 per paprika, 8.787 gCO2 per paprika, and 15.707 gCO2 per paprika, respectively. Table 3: CO2 Emission in gCO2 per paprika at Paprika Distribution Process: Cold Chain Management System Process Cultivation (Seedling and Planting) Transportation 1 (from greenhouse to wholesaler) Packaging Pre-cooling and storage Refrigerated transportation (from wholesaler to retailer) TOTAL CO2 Emission from whole system Farthest Distance 5.298 0.693 0.590 3.801 25.843 36.225 Nearest Distance 5.298 0.231 0.590 3.801 8.787 18.707 Average Distance 5.298 0.439 0.590 3.801 15.707 25.835 Thus, the total CO2 emissions at paprika distribution process for cold chain management system for each scenario are shown in Table 3. The percentage of CO2 emission from three scenarios (see Figs. 7, 8, and 9) shows that of transportation from wholesaler to retailer would be the highest CO2 emission in the total process due to the high amount fuel of refrigerated transportation. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 E.A. Putri, K. Dowaki, G. Yudoko, and K. Koido – Comparison of Environment Impact ... 19 Fig. 7: Percentage CO2 Emission of the farthest distance at Each Process: Cold Chain Management System. Fig. 8: Percentage CO2 Emission of the nearest distance at Each Process: Cold Chain Management System. Fig. 9: Percentage CO2 Emission of the average distance at Each Process: Cold Chain Management System. 3.3. PV System for Paprika Distribution Process Next, it is an extremely important purpose to reduce CO2 emission for the whole system. Here, the specific CO2 emission of electricity in our target area (Indonesia) is very large due to much of fossil fuel consumption. However, there would be plenty of solar resource in Indonesia. Recently, the PV (photovoltaic) system would be generalized as one of countermeasure of CO2 emission reduction. Also, this is one of promising system in the renewable energy ones. In the near future, the number of environmentally friendly system will be increased in any countries. The PV system can convert directly sunlight dissociation energy to electric energy. The electric energy yielded by PV would be little influenced by the sunlight intensity, so that PV can produce electric energy which is equivalent to the received sunlight [12]. The daily solar radiation data from NASA Surface Meteorology The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 20 E.A. Putri, K. Dowaki, G. Yudoko, and K. Koido – Comparison of Environment Impact ... and/or Solar Energy website was used in this study. The average daily solar radiation in Pasir Langu village, Cisaura is 4.81 kWh/m2/day. The objective in this scenario is to promote PV system installation in greenhouse, packaging house, and cold storage in order to mitigate CO2 emission by decreasing electricity usage. This PV hybrid system with electrical grid of PLN without battery equipment is assumed to yield continuously so as to meet the supply of electric energy [13]. Here, the PV system would supply the electricity of 30% and the rest electricity of 70% would be compensated by PLN. Eq. (2) was used to calculate the electricity demand (EB) which would be supplied by PV system (EA). Eq. (3) was used to calculate the total energy system (ET). Due to Eq. (4), the capacity of PV system (CPV) whose factor adjustment is 1.1 was estimated, and the total number of PV module which should be installed to be supplied for energy demand in each process was estimated due to Eq. (5) [12]. In this study, the capacity of PV module has 100 Wp at 24 V. Table 7 shows the performance results of PV module in the subprocess of cultivation, packaging, pre-cooling and storage, respectively. EA = 30% x EB (2) ET = EA + (15% x EA) (3) (4) (5) Table 4: Performance Results of PV System Calculation Data Energy Demand (EB) Energy from PV (EA) Total Energy (ET) Capacity of PV (CPV) Total PV module Cultivation 2,930 Wh/day 879 Wh 1,010 Wh 231W 3 Packaging 10,989 Wh/day 3,296 Wh 3,791 Wh 867 W 9 Cold Storage 54,601 Wh/day 16,380 Wh 18,837 Wh 4,307 W 44 The utilization of solar energy by PV system causes very little environmental problem and provides no greenhouse effect [14]. The solar energy supply due to a clean energy source does not emit pollutant substances including CO2 gas during its operation. On the other hand, in LCA, the environmental load (ex. indirect factors of manufacturing and materials and so on) from another viewpoint might have to be considered [15]. However, we referred to the operation only, that is, assuming that PV system produces electricity, we treated the specific CO2 emission of PV system as zero emission. As a result (see Table 5), the promotion of PV system in greenhouse, packaging house, and cold storage, will be able to reduce 1.947 gCO2 per paprika from whole distribution process, that is, the percentage of 11.9 % from cultivation , 30% from packaging, and 30% from cold storage, respectively. Table 5: CO2 Emission in gCO2 per paprika at Paprika Distribution Process: PV system Process Cultivation (Seedling and Planting) Transportation 1 (from greenhouse to wholesaler) Packaging Pre-cooling and storage Refrigerated transportation (from wholesaler to retailer) TOTAL CO2 Emission from whole system Farthest Distance 4.669 0.693 0.413 2.661 25.843 34.278 Nearest Distance 4.669 0.231 0.413 2.661 8.787 16.760 Average Distance 4.669 0.439 0.413 2.661 15.707 23.888 4. Conclusions and Future Research This paper has shown the calculation of CO2 emission on paprika cold chain model using LCA methodology. Based on the result above, the CO2 emissions from cold chain management system are approximately 2-3 times higher than a conventional system. In general, that would emit higher CO2 gas; however, the advanced system with PV system would contribute environment aspect. Simultaneously, we would be able to secure the quality of paprika quality. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 E.A. Putri, K. Dowaki, G. Yudoko, and K. Koido – Comparison of Environment Impact ... 21 Therefore, it is important to make optimization model in cold chain management system to mitigate CO2 emission. Proposing PV system for greenhouse, packaging house, and cold storage reduce CO2 emission and/or probably maintain paprika quality. As other system candidates for paprika cultivation system, Blue-Tower (BT) system also can be used in order to reduce the CO2 emission. This is due to the biomass resources. In the previous research [16], it was shown that in Japan, paprika was cultivated in greenhouse which requires electricity, thermal energy and CO2 gas as growth agents. The CO2 emissions from paprika conventional cultivation system of 2 ha to 4 ha were 582.4 to 573.9 gCO2 per paprika, respectively. Inversely, due to promotion of BT-CGS (Blue-Towercogeneration) or BT-CGS (SOFC-HP) case in the paprika cultivation facility, it enables to mitigate CO2 emission as shown in Tables 6 and 7. Table 6: CO2 Emission and Reduction (BT-GE) Case name (Cultivation scale, BT-plant scale) GE-Case1 (2ha 15t) GE-Case1 (2ha 30t) GE-Case1 (2ha 60t) GE-Case1 (4ha 15t) GE-Case1 (4ha 30t) GE-Case1 (4ha 60t) CO2 Emission per a paprika (gCO2 per paprika) 104.6 68.6 98.9 257.8 93.2 67.4 Rate of CO2 Reduction (%) 82.0% 88.2% 83.0% 55.1% 83.8% 88.3% Table 7: CO2 Emission and Reduction (BT-SOFC-HP) Case name (Cultivation scale, BT-plant scale) SOFC-Case1 (2ha 15t) SOFC-Case1 (2ha 30t) SOFC-Case1 (2ha 60t) SOFC-Case1 (4ha 15t) SOFC-Case1 (4ha 30t) SOFC-Case1 (4ha 60t) CO2 Emission per a paprika (gCO2 per paprika) 60.6 68.5 98.9 92.1 58.4 66.9 Rate of CO2 Reduction (%) 89.6% 88.2% 83.0% 84.0% 89.9% 88.4% For future research, it is necessary to reduce CO2 emission from transportation process since transportation is the biggest contributor of CO2 emission in cold chain management system. The CO2 emission reduction from transportation process can be done by switching solar system for refrigerated transportation. Also, we need to consider the scale merit, that is, we have to refer to the relationship between the scale of renewable energy system and that of cultivation from the viewpoints of environmental impact and/or the cost. References FAO, & UNIDO. (2009), “Agro-Industries for Development”, CABI North American Office, USA. Global Agrisystem. (2005), “Cold Chain”, Project Profiles, MP Agros. Rodrigue, et al. (2009), “The Geography of Transport Systems, 2nd ed”, New York, Routledge. Baldwin, C. J. (2009), “Sustainability in the Food Industry”, Wiley-Blackwell and the Institute of Food Technology. Haas, et al. (2000), “Life Cycle Assessment Framework in Agriculture on the Farm Level”, International Journal LCA, Vol. 5 No. 6, pp 345-348. [6] UNEP. (2009), “Guidelines for Social Life Cycle Assessment of Products”, United Nations Environment Programme, Paris. [7] Horne, et al. (2009), “Life Cycle Assessment: Principles, Practice and Prospects”, CSIRO, Australia. [8] UNEP. (2004), “Background Report for a UNEP Guide to Life Cycle Management: A Bridge to Sustainable Products”, United Nations Environment Programme, Paris. [9] Suhedi, F. (2005), “Emisi CO2 dari Konsumsi Energi Domestik”, Pusat Litbang Permukiman. [10] Asisten Deputi Urusan Data dan Informasi Lingkungan. (2009), “Emisi Gas Rumah Kaca dalam Angka”, Kementrian Negara Lingkungan Hidup Republik Indonesia. [11] Gratimah, R. (2009), “Analisis Kebutuhan Hutan Kota sebagai Penyerap Gas CO2 Antropogenik di Pusat Kota Medan”, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Sumatera Utara Medan. [1] [2] [3] [4] [5] The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 22 E.A. Putri, K. Dowaki, G. Yudoko, and K. Koido – Comparison of Environment Impact ... [12] Bien, et al. (2008), “ Perancangan Sistem Hibrid Pembangkit Listrik Tenaga Surya Dengan Jala-Jala Listrik PLN untuk Rumah Perkotaan”, Journal Teknik Elektro, Vol. 8 No.1, pp 37-56. [13] Strong, et al. (1993), “The Solar Electric House”, Chelsea Green ISBN 0-963783-2-1. [14] Jivacate, et al. (1994), “PV Development in Thailand”, Solar Energy Materials and Solar Cells, Vol. 34, pp 57-66. [15] Battisti, R., and Corrade, A. (2003), “Evaluation of Technical Improvements of Photovoltaic Systems through Life Cycle Assessment Methodology”, Journal Energy, Vol. 30, pp 952-967. [16] Fukumoto, et al. (2011). “A Business Feasibility Study on a Paprika with Carbon Footprint Label”, Proceedings of EcoDesign International Symposium. Cite this paper Putri, E.A., Dowaki, K., Yudoko, G., and Koido, K. (2012). “Comparison of Environment Impact between Conventional and Cold Chain Management System in Paprika Distribution Process,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 13-22. ISBN: 978-979-15458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 Available at www.ictom.info Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 www.sbm.itb.ac.id www.cob.uum.edu.my The 3rd International Conference on Technology and Operations Management “Sustaining Competitiveness through Green Technology Management” Bandung – Indonesia, July 4-6, 2012 Is Halal certification process “green”? Mohd Rizal Razalli1,*, Suzzaini Abdullah1, Rushami Zien Yusoff1 1 Universiti Utara Malaysia (UUM), Sintok 06010, Kedah Darul Aman, Malaysia Abstract. These days, the environmental perspective on operations is becoming more common. In fact, any effort in improving efficiency in the organization is closely related to sustainability of our environment. The Environmental Management System (EMS) certification such as ISO 14001 has been accepted as the world standard. In addition to these ISO standards, there are other certifications such as Halal certification. There is no research that investigates the relationship between Halal Certification process and its effect on our environment. Hence, our main research question is that is Halal Certification process can be considered as environmental friendly? In this paper, we argue that Halal Certification also contributes towards green initiatives. We used EDC-UUM as our case study. EDC-UUM is actively seeking the Halal certification from Malaysian authority agency or JAKIM. In this study, we assessed the perception of the EDC-UUM staff on the issue of going green. The findings and implications are discussed in the paper. Keywords: Halal certification, hotel operations, Sustainability, Green 1. Introduction Environmental perspective on operations is becoming one of the main concerns of many organizations these days. This fact has driven the growth of research related to green management [1, 2]. The concept, however, is still relatively new and that has resulted to simple to complex interpretations by practiced organizations [3]. Moreover, the terms may come in different forms such as green technology, going green, sustainable development, and environmental and eco-friendly. Even though the terms may differ, they have one common mission that is to protect the earth from wrongdoing of human behaviour for our future generations. The negative impact of human behaviour is the central issue in green management. All human activities must be managed carefully without taking for granted about their consequences and to the welfare of the environment. Despite the challenges to define green management, many previous scholars have attempted to provide an exact definition for green management. For instance, after a comprehensive review of literature, the following definition of green management was proposed. * Corresponding author. Tel.: + 60-4-928-4595 E-mail address: [email protected] 24 M.R. Razalli, S. Abdullah, and R.Z. Yusoff – Is Halal certification process ... “Green management is the organization-wide process of applying innovation to achieve sustainability, waste reduction, social responsibility and a competitive advantage via continuous learning and development and by embracing environmental goals and strategies that are fully integrated with the goals and strategies of the organizations” [3]. In the context of Malaysia, the Ministry of Energy, Green Technology and Water defines green technology as “the development and application of products, equipment and systems used to conserve the natural environment and resources, which minimizes and reduces the negative impact of human activities” [4]. The four pillars of green technology policy include: Energy - seek to attain energy independence and promote efficient utilization; Environment - conserve and minimize the impact on the environment; Economy - enhance the national economic development through the use of technology; and Social - improve the quality of life for all. One of the current established accreditations specifically for green or environmental management (EMS) is ISO 14001: 2004. This is a management tool that can be used by organizations to identify and control the environmental impact, to continuously improve environmental performance, and to implement a systematic approach for assessing the environmental objectives and their implementation [5]. Besides this accreditation, less is known about the Halal certification and its relations to protect the environment. In fact, there is no such study that has been carried out to see how Halal certification could also relate to the green management. Hence, this paper aims to answer whether or not halal certification process can be considered as part of the green management practices. In the quest of finding the answer, we have engaged in a case study approach. We chose one hotel in the northern part of Malaysia as our case. However, we also carried out a survey to seek their staffs’ perception quantitatively. The case is described in the later section. 2. Green Management and Halal Certification in the Hotel Industry 2.1. “Green” Hotels The concept of green management is also embraced by the hotel industry. In fact, the Green Hotel Association (GHA) has been established since 1993 to bring together hotels interested in environmental issues [6]. According to the GHA, “green” hotels implement environmental programs that save water, energy, and reduce solid waste to help protect the one and only earth. The implementation of green management in the hotel industry is critical. The industry is the most environmentally harmful in the hospitality sector to contribute substantial impact to the environment [7]. These impacts are associated to the waste production, water, and energy consumption by hoteliers [8]. In addition to conserve the environment, green hotels would also enjoy various economic benefits from being green. They can benefits from bigger savings and better efficiency through the adoption of environmental practice in the area of operating cost reduction and operational efficiency [9]. However, a proper strategy and implementation should be carried out. Some companies may find the green initiatives to result in lower profit [10]. In terms of the customers, the green hotels would have a substantial potential market [11]. A study conducted in Malaysia has found that the hotels’ customers associated being green to product quality, price, and social responsibility [11]. Because of these benefits, more and more hotels are practicing green and would like their properties to be recognized as the “green” hotels. For example, hotels that have received ASEAN Green Hotel Award in 2010 increased from 5 to 10. Those hotels were the Andaman Langkawi, Shangri-La’s Tanjung Aru Resort and Spa, Mines Wellness Hotel, Shangri-La’s Rasa Ria Resort, Renaissance Kuala Lumpur Hotel, Hotel Melia Kuala Lumpur, Nexus Resort Karambunai, Shangri-La’s Rasa Sayang Resort and Spa, Shangri-La Hotel Kuala Lumpur and the Frangipani Langkawi resort and Spa [12]. 2.2. Halal and Its Certification Process In order to answer our research question, we need to understand the meaning of halal and the halal certification process. The Halal certification is a complex assessment on food and beverages, consumer goods, food premises, and slaughter houses. It is a document given to the applicant that guarantee that the items (either food and beverages, consumer goods, food premises, or slaughter houses) are halal certified or meet the Islamic principles and can be consumed by Muslim [13]. In Malaysia, the recognized authority by the Malaysian government for Halal includes Jabatan Kemajuan Islam Malaysia/Department of Islamic Development Malaysia (JAKIM), Jabatan Agama Islam Negeri/State Islamic Religious Department (JAIN) or Majlis Agama Islam Negeri/State Islamic Religious Council (MAIN). Now, the Halal Industry Development Corporation (HDC) has been appointed by the government to serve as a one stop center to manage the issue of Halal certification for The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 M.R. Razalli, S. Abdullah, and R.Z. Yusoff – Is Halal certification process ... 25 Malaysia. In this study, we focus on Halal certification for the hotel industry which is the food and beverages produced by the hotel’s kitchen. What is Halal? According to Halal Malaysia [14], the definition of Halal as stated in the Trade Description Order (Usage of the Term “Halal”) 1975 is as follows: When the term is used in relation to food in any form whatsoever, in the process of trade or commerce as an aspect of trading or part of an aspect of trading for the referred to food, the terms ‘Halal’, ‘Guaranteed Halal’ or ‘Muslim Food’ or any other terms that may be used to indicate or may be understood as meaning to indicate as permissible to be consumed by Muslims and allowed in their religion for the referred to food to be consumed, must therefore mean the following, that is, the food for which such terms are being used: a) does not stem from or consists of any part of or item from animals that are forbidden to Muslims by Islamic law, or animals that have not been slaughtered according to Islamic law; b) does not contain any substance that is considered impure in Islamic law; c) is not prepared, processed or manufactured using equipment or utensils that are not free from impurities as defined by Islamic law ; and d) that, in the preparation, processing or storage stage, does not come in contact with or is stored near any kind of food that does not meet the requirements of para(s) (a), (b) or (c) or any substances that are considered impure by Islamic law. From the above definition, we can conclude that Halal certification would not just include the food itself but also other areas as well. These three main areas are namely (1) the food and the source of the food, (2) the process of preparation of the food, and (3) the process and handling the storage of the food. The halal certification process also includes five processes namely the application/document approval, premise inspection, panel committee/appeal committee, issuance of Halal certification, and monitoring and assessment [15]. The economic benefits of Halal certification are huge. The industry is estimated to worth around US 632 billion per year [16]. This is due to the increasing demand of Halal food around the globe [15]. 2.3. Halal certification and green management: The similarities Figure 1: Halal certification aspects The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 26 M.R. Razalli, S. Abdullah, and R.Z. Yusoff – Is Halal certification process ... The halal certification process would include auditing on various aspects such as items depicted in Figure 1, while green practices would include aspects such as in Figure 2. From the two figures we can see there are some aspects that would be related between Halal certification process and green management. Among similarities identified are (1) waste management, (2) education, (3) water (water supply & drainage), and (4) energy (ceiling, lighting, ventilation, & temperature). Figure 2: Green management aspects 3. Methodology This was a quantitative case study that analysed from the perspective of individual personnel of EDC-UUM. Almost all staff of EDC-UUM answered our questionnaire related to green and halal certification process. Due to the scarcity of research on the topic and probably this was the first attempt to relate halal certification and green, the questionnaire was self-constructed based on the Halal certification audit criteria. The perceived effects of green and halal certification to performance are measured using various sources particularly from the Environmental Management System studies [17] [18]. The scale of 1-5 was used ranging from improved significantly (5) to worse significantly (1). For the level of agreement questions, the scale was ranged from strongly agree (5) to strongly disagree (1). The questionnaires were also self-distributed and self-collected from the EDC staff. The quantitative findings would be discussed in relation to the literatures available in the field. 4. Result and Discussion 4.1. EDC-UUM EDC-UUM is an 8-storey hotel, located near the main entrance of the Universiti Utara Malaysia (UUM) campus in Sintok. With a capacity of 88 spacious and comfortable guess rooms, EDC-UUM emphasizes value for money and comfort. It is an ideal venue for business and leisure travelers with modern accommodation and traditionally warm hospitality. Guest can look forward to affordable accommodation highlights such as a prayer room, a meeting room, a laundry service, a restaurant and a small convenience store. The EDC-UUM, was established as a cost centre but later on operating as a strategic business unit (SBU). It commenced its operation on September 2006. The concept of the hotel is to provide hotel standard products and services and move The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 M.R. Razalli, S. Abdullah, and R.Z. Yusoff – Is Halal certification process ... 27 forward to fulfill its market needs. EDC-UUM is committed to providing the highest standards in hotel services and facilities in keeping with its tagline: "Your Smile, Our Joy". Since EDC-UUM is rather newly established and given as a strategic business unit (SBU) status, the management decided to maintain its growth. In 2007 the total revenue was RM 1.8 million. The amount has increased to RM 3.4 million and RM 3.5 million in 2008 and 2009 respectively. Apparently room and food and beverage are the two major contributors to the EDC-UUM earnings. Hence, to stay competitive, EDC-UUM should have the right business strategies in the years to come. One of the strategies is to obtain Halal certification from JAKIM. Throughout the year of 2011 until the beginning of 2012, EDC-UUM has been aggressively preparing the required documents for Halal certification for its kitchen. The standards of procedures for the hotel have also been practiced to comply with the Halal certification. 4.2. Survey Results Table 1 below shows the respondents’ background in terms of their role and tenure at EDC-UUM and total years of experience in the hospitality industry. Most of the respondents of the study were not in the managerial positions, had less than 1 year working experience at EDC-UUM but had 5-10 years working experience in the hospitality industry. Note that the EDC-UUM has just been established for only 5 years during the time of the study. Table 1: Respondents’ Background Respondents’ Background % Role in the organization Senior Management Junior Management Middle Line Others Total 10.9 7.3 27.3 54.5 100 Years of working in the organization 5 years 4 years 3 years 2 years 1 year or less Total 18.2 5.5 14.5 9.1 52.7 100 Years of working experience > than 20 years 15-20 years 10-15 years 5-10 years < 5 years Total 1.8 1.8 5.5 16.4 74.5 100 Next, we asked the respondents to indicate their agreement on the relationship between green and halal certification. The result showed that 57.5% of the respondents agreed that Halal certification contributes towards green. Another 27.3% even strongly agreed to the statement which made a total of 84.8% of the respondents to perceive that Halal certification had a relationship with green. The specific result is shown in Figure 1. Further, we investigated the perceived effect of Halal certification on the green performance. Figure 2 shows the result. We found that majority (more than 50%) of the respondents indicated that Halal certification would also be beneficial to EDC-UUM in terms of the following items: Energy saving Environmentally conscious Environment accident Society Waste management Coordination activities Efficiency Cost saving Interaction buyers and customers The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 28 M.R. Razalli, S. Abdullah, and R.Z. Yusoff – Is Halal certification process ... Personnel qualification Employee motivation Multi-skillness of employees Tenders Note that some of the respondents also perceived that Halal certification would have negative effects on green performance. However, this was a small group that represented only less than 10% of the respondents as stated in Table 2. Fig 1: Level of agreement on Halal and green Fig 2: Perceived effect of Halal certification on green performance The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 M.R. Razalli, S. Abdullah, and R.Z. Yusoff – Is Halal certification process ... 29 Table 2: Total Percentage of level of Halal certification effects on green performance Green performance Energy saving Worse (%) Improve (%) 9 62 Environmentally conscious 9 78 Environment accident 9 65 Society 7 76 Waste management 7 76 Coordination activities 7 73 Efficiency 9 80 Cost saving 9 78 Interaction buyer/customer 9 76 Complaint 7 69 Personnel qualification 9 82 Employee motivation 7 80 Multi-skillness of employees 7 80 Tenders *moderate effect was uncounted 7 75 5. Discussion and Conclusion Our findings provide evidence for future work in the area of Halal certification. Based on our initial attempt, we have found that halal certification has somehow related to green. Most of the respondents have indicated their agreement about the relationship. The top effects of Halal certification that they perceived related to green would be namely (1) Personnel qualification, (2) employee motivation, (3) Multi-skillness of employees, (4) Efficiency, (5) Environmentally conscious, and (6) cost saving. From this finding we can conclude that the Halal certification is closely related to the human resource issue particularly on their training about the Halal certification. It is interesting to note that halal certification is perceived to have effects on environmental aspect as well. As discussed earlier this findings could be associated with the existence of similarities between Halal certification and green management. The Halal certification, in general, focuses more on the hygienic, quality, and safety [15] aspects of the food and its preparation, while green management focuses on reducing the negative impact of human activities towards the environment. Based on this small scale data, we can carefully conclude that by being hygienic would also protect the environment. After all, Islam teaches us to protect the environment. And it does not mean we can only do that by having ISO 14000 certification. References [1] [2] [3] [4] [5] [6] [7] [8] Myung, E., A. McClaren, and L. Li (2012), “Environmentally related research in scholarly hospitality journals: Current status and future opportunities,” International Journal of Hospitality Management, pp. doi:10.1016/j.ijhm.2012.03.006. Lu, J. and S.K. Nepal (2009), “Sustainable tourism research: An analysis of paper published in the Journal of Sustainable Tourism,” Journal of Sustainable Tourism, 17(1): pp. 5-16. Haden, S.S.P., J.D. Oyler, and H. John H. (2009), “Historical, practical, and theoretical perspectives on green management: An exploratory analysis,” Management Decision, 47(7): pp. 1041-1055. Ministry of Energy Green Technology and Water (2012), “Definition of Green Technology,” Kuala Lumpur. International Organization for Standardization (2012), “ISO 14000 essentials,” International Organization for Standardization. Association, G.H. (2012), “What are ‘green’ hotels?” GHA. Bohdanowicz, P. (2006), “Environmental awareness and initiatives in the Swedish and Polish hotel industries-survey results,” International Journal of Hospitality Management, 25(4): pp. 662-682. Rahman, I., D. Reynolds, and S. Svaren (2012), “How ‘green’ are North American hotel? An exploration of low-cost adoption practices,” International Journal of Hospitality Management, 31: pp. 720-727. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6 30 [9] [10] [11] [12] [13] [14] [15] [16] [17] [18] M.R. Razalli, S. Abdullah, and R.Z. Yusoff – Is Halal certification process ... Scanlon, N.L. (2007), “An analysisi of assessment of environmental operating practices in hotel and resort properties,” International Journal of Hospitality Management, pp. 711-723. Molina-Azorin, J.F., et al. (2009), “Green management and financial performance: A literature review,” Management Decision, 47(7): pp. 1080-1110. Meng, N.K. (2011), “The potential of hotel's green products in Penang: An empirical study,” Journal of Global Business and Economics, 3(1): pp. 196-213. Tan, A. (2010), “10 hotels in Malaysia now hold Green Award status,” The Star. Kuala Lumpur. Riaz, M.N. (2010), “Fundamentals of Halal foods and certification,” Prepared Foods, pp. 71-76. Malaysia, H. (2012), “Halal definition,” Halal Malaysia: Kuala Lumpur. Noordin, N., et al. (2009), “Value chain of Halal certification system: A case of the Malaysia Halal industry,” Proceedings of European Mediterranean Conference on Information System. Izmir, Istanbul. Baguley, D. (2009), “Halal advantages on offer,” Food Magazine, pp. 6. Padma, P., L.S. Ganesh, and C. Rajendran (2008), “A study on the ISO 14000 certification and organizational performance of Indian manufacturing firms,” Benchmarking: An International Journal, 15(1): p. 73-100. Hsiao, Y.D., et al. (2006), “Performance evaluation and analysis of guidance ISO14000 into Trades in Taiwan and China - Taking traditional industries implementing PZB mode as an example,” The Journal of American Academy of Business, 9(2): p. 264-271. Cite this paper Razalli, M.R., Abdullah, S., and Yusoff, R.Z. (2012). “Is Halal certification process ‘green’?,” Proceedings of The 3rd International Conference on Technology and Operations Management: Sustaining Competitiveness through Green Technology Management, Bandung–Indonesia (July 4-6), pp. 23-30. ISBN: 978-979-15458-4-6. The 3rd International Conference on Technology and Operations Management (ICTOM) Conference Proceedings © 2012 – ISBN: 978-979-15458-4-6