the use case - Wi-NEXT The Industrial Edgeware
Transcription
the use case - Wi-NEXT The Industrial Edgeware
US EC AS E WI-NEXT IIOT FOOD TREATMENT www.wi-next.com Priming a market for IIoT can be easy if they are technology early adopters. But what if the market is a very traditional industry with vintage machinery, low margins, and very little room (if any) for downtime? Let’s take a closer look at the food treatment space and why you may be surprised to hear it’s one of the best target markets for IIoT. INTRODUCTION The use of the Internet of Things in manufacturing is becoming more prevalent, whether it is known by the name “IoT” or called other things (factory automation, next-generation Machine-to-Machine, etc.). With the introduction of network-enabled sensors and Internet connectivity, services such as predictive maintenance and energy efficiency are now at the forefront of the Industrial Internet of Things (IIoT). This is especially prominent in the food treatment business, where the industry is highly competitive. This industry is ripe for IIoT. The opportunity to embrace the benefits of the technology are huge. Sometimes, making the connection just takes rethinking a traditional industry and approaching it in an unconventional way. Gartner supports this in its report “Market Trends: Differentiate Within Vertical Industries by Leveraging on Internet of Things.” In it, the analysts say that adoption of the Internet of Things is growing with manufacturing, which is estimated to have the largest installed base of things by 2020. Industries are witnessing the rise of "nontraditional sellers" and are propelling the blurring of traditional industry boundaries. Gartner says industry executives are also still struggling to identify viable business models created by availability of a "connected asset." We see this, as we’ve been asked, “What is the most concrete, tangible opportunity that IIoT brings to manufacturers?” The answer is clear: an easier and less expensive way to connect invisible assets, i.e. the vintage machines that are completely digitally disconnected yet already installed all over the world. They are “invisible” to the IIoT network. If something can be done to reduce the risk of failure – by as much as 75% - with up to 30% reduction in maintenance costs and 45% reduction in downtime, yet also increasing production by 20% and a 10x ROI, wouldn’t you want to know it? FOOD TREATMENT MARKET OVERVIEW Look at the market: it is mature. Technological innovations on products such as meat slicers have reached the limit. So where can manufacturers add significant value? By connecting those invisible assets. According to Gartner, invisible assets make up 88% of the total machinery installed in the market today. Identify and implement an add-on for a machine to offer something “more” and differentiate it from the rest of the offerings during sales calls and contract negotiation – and that something isn’t a sharper blade or a thinner cut: it is productivity, cost savings, efficiency, and predictive maintenance. It’s IIoT. This can be a radical mind shift. According to Gartner, “The Internet of Things is facilitating the industries' transition from a technology focus to a ‘business outcome’ focus.” Others agree. According to a report by Roland Berger Strategy Consultants, “Manufacturers' attitudes towards maintenance are changing. Maintenance is increasingly seen as a strategic business function as opposed to a necessary evil.” This is especially true when it comes to IIoT. Consider predictive maintenance, a large part of IIoT in manufacturing and essential for the food treatment market. According to Roland Berger, “Failure of critical assets was rated as the most significant risk to operational performance.” If something can be done to reduce the risk of failure – by as much as 75% - with up to 30% reduction in maintenance costs and 45% reduction in downtime, yet also increasing production by 20% and a 10x ROI, wouldn’t you want to know about it? IIoT predictive maintenance has already begun to prove itself. FOOD TREATMENT CLIENTS Food treatment clients want viable solutions to sell to customers. Consider value-added pre-paid and recurrent services such as predictive maintenance, and energy efficiency contracts. On the one hand, the client wants to add differentiators to its offer, yet on the other hand, there is the need to add new revenue streams from recurrent services with higher margins. We identified the key aspects to make the solution sustainable from a technical and business model point of view and we ascertained that in order to monitor a product with a unit value like that of a meat slicer with a lifecycle of a few years, we had to respect some stringent ‘cost’ parameters in terms of hardware. We needed a solution that was easy to install on the machines and that was not expensive. How to accomplish this keeping a very small footprint and installing something easily and inexpensively? IIoT. The food treatment list of solution requirements is stringent, and margin for error is non-existent. With special needs for regulatory bodies and government oversight for safety and food handling, IIoT can become a helpful system of checks and balances to keep things running smoothly and avoid potential problems before they start. SOLUTION REQUIREMENTS "We identified the key aspects to make the solution sustainable from a technical and business model point of view and we ascertained that in order to monitor a product with a unit value like that of a meat slicer with a lifecycle of a few years, we had to respect some stringent ‘cost’ parameters in terms of hardware. We needed a solution that was easy to install on the machines and that was not expensive.” - Wi-NEXT Food Treatment IIoT Customer Food treatment customers have very specific requirements when it comes to IIoT: • Small footprint • Low cost of implementation and maintenance • Able to allow plant personnel to easily leverage the data in real-time • Able to ensure privacy and security of the data • Easy to scale • High ROI WI-NEXT EDGEWARE SOLUTION Wi-NEXT’s Edgeware is an intelligent connectivity solution with a small footprint able to easily network the retrofit industrial machinery, collecting data that allows plant personnel to leverage it in real-time to increase the performance and the overall equipment effectiveness (OEE) of the plant. Wi-NEXT’s solution is very different that others on the market. It uses the 802.11 wireless technologies with a small footprint in a fully distributed, scalable, secure and reliable architecture. A connectivity solution for the industrial IoT space, it consists of edge-nodes (hardware) with embedded software to build a wireless network, and end-nodes (hardware) with embedded software to interface to the machines and surrounding sensors. It connects industrial machines and sensors; collects their data and sends it to the data center, but allows intelligent management and advanced analytics to occur at the edge to optimize the business performance of the industrial plants. It uses an advanced Fog computing architecture to push data processing out to the edge and closer to the devices for faster processing to meet client needs. MAIN FEATURES AND BENEFITS • An intelligent connectivity solution with a small footprint able to easily network the retrofited industrial machinery and scale at a low cost • More robust wireless networking even in “hostile” industrial environments due to WiseMESH® technology • More reliability and less latency due to distributed intelligence down to the edge •Cloud-agnostic with simple integration to different management and analytics platforms Wi-Next’s Edgeware is an intelligent connectivity solution with a small footprint able to easily network the retrofit industrial machinery, collecting data that allows plant personnel to leverage it in real-time to increase the performance and the overall equipment effectiveness (OEE) of the plant. A COMPETITIVE EDGE & IMPACT Clients need to react to market conditions and competition quickly. With Wi-NEXT Edgeware, the client can easily enable value-added services such as predictive maintenance and energy efficiency, retrofitting the machine and providing useful data to the plant managers to help improve efficiency and production, plus lower costs for the client. Clients have seen dramatic results with Wi-NEXT’s Edgeware implementation. Major advantages include: • New revenue streams with high marginality for recurring services • Improved performance of the machine • Optimized the life cycle of the machine • Greater coverage of the customers needs • Increased the loyalty of the customers • More barriers against the competitors In closing, the food treatment market should seriously and immediately consider IIoT a valuable tool to reduce costs and increase operational efficiency. Competitive advantage is paramount to differentiate from the competition in this traditional industry, and IIoT-enabled machinery, whether newly manufactured or retrofitted for “invisible assets”, will be crucial to maintain market share and mindshare in this field. For more information about Wi-NEXTz’s IIoT products including Predictive Maintenance and Edgeware Solutions, please contact us today. CONTACTS: US OFFICE 530 Lytton Avenue, 94301 Palo Alto, California USA Ph. +1 (650) 617-3491 ITALY OFFICE Piazzale Biancamano 8, 20121 Milano - Italy Ph. +39 02 62032044 www.wi-next.com [email protected] @winextcom NOTE © 2015 Wi-NEXT. All rights reserved. This document may be reproduced in whole but not in part. The information contained in this document is subject to change without notice and is made available in good faith without liability on the part of Wi-NEXT. All trademarks acknowledged. Company with Quality Management System Certificate Certificate N°50 100 12213