ATCO I-Tek - Mountain West Maximo User Group

ATCO I-Tek
Total Enterprise Asset Management Solutions
Presenter : John Bergsten
Date: August 5, 2013
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Agenda
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About ATCO I-Tek
Total EAM Solutions
Case Study: Asset Health Index
Case Study: Performance Monitoring
Case Study: Downtime Reporting
Questions
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About ATCO I-Tek
ATCO I-Tek is an end-to-end IT service
provider with over 770 professionals that
specialize in solutions focused on:
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Asset Management
Managed Services
Business Process Outsourcing
ATCO I-Tek is part of the ATCO Group of
companies:
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More than 9,400 employees
Assets of approximately $14 billion
Corporate Office: Calgary, Alberta, Canada
Delivers service excellence and innovative
business solutions in Structures &
Logistics, Utilities, Energy and Technologies
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Total EAM Solutions
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Case Study: Asset Health Analysis Tools
Leveraging Maximo to Provide Value Multiplying Asset Management Tools
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About Oakville, Ontario
• Population 182,000
• Home to Ford Motors
Canadian HQ and
Manufacturing
• Average income: $84,000
• Average home value:
$386,000
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Oakville Hydro History
The first electric lights seen in Oakville were
installed on the west bank of 16 Mile Creek in
1889, in the area now known as Harbour
Grove. In 1908, the Oakville Water and Light
Commission was established.
In 2000, Oakville Hydro was incorporated in
preparation for the deregulation of the Ontario
electricity market, which occurred in May
2002.
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About Oakville Hydro
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Oakville Hydro has over 63,000 customers.
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Services include:
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Delivery of power, conservation and demand management programs,
Innovative energy management solutions and technology related to
metering, water heaters
Under ground utility construction and locate services.
In Ontario LDCs are expected to produce an Asset Condition Assessment
(ACA) Plan in support of their Rate Application to the Ontario Energy
Board (OEB).
Oakville Hydro made the strategic decision to build their Asset
Management portfolio in the IBM Maximo Enterprise Asset
Management system.
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Asset Health Project Background
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Currently, Oakville Hydro utilizes a combination of Access
applications and spreadsheets to record and maintain their asset
and health index information.
Phase one of this project includes the implementation of core
Maximo, with the focus on the Asset module.
In support of phase one, ATCO I-Tek implemented the Asset Health
Analysis tools, which automated the Asset Condition Assessment
(ACA) process and reporting.
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Asset Health Project Process
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As part of the Maximo implementation, ATCO I-Tek focused on
developing ‘Asset Lifecycle’ processes:
The Asset Health Analysis tools were implemented in support of the
‘Maintain Asset Lifecycle’ phase.
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Asset Classes
Phase One Asset Classes:
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Substation Transformers
Substation Switchgear
Substation Switches (CBs and load breakers)
Distribution Transformers (Pole mounted,
padmount, submersible and vault type)
Distribution Switchgear (Padmount and vault
type)
Overhead Switches
Overhead Wires
Underground Cables
Wood Poles
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Health Index Calculations
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Health Indexing quantifies equipment condition based on numerous
condition parameters related to the long-term degradation factors
that cumulatively lead to an asset’s end of life.
The Health Index is an indicator of the asset’s overall health and is
typically given in terms of percentage, with 100% representing an
asset in brand new condition.
Health Indexing provides a measure of long-term degradation and
thus differs from defect management, whose objective is finding
defects and deficiencies that need correction or remediation in
order to keep an asset operating prior to reaching its end of life.
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Asset Condition Parameters
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Condition parameters are the asset characteristics or properties used
to derive the Health Index. A condition parameter may be comprised
of several sub-condition parameters. For example, a parameter
called “Oil Quality” may be a composite of parameters such as
“Moisture,” “Acid,” “Interfacial Tension,” “Dielectric Strength,” and
“Colour”
In formulating a Health Index, condition parameters are ranked,
through the assignment of weights, based on their contribution to
asset degradation. The condition parameter score for a particular
parameter is a numeric evaluation of an asset with respect to that
parameter.
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Chemical / Analytical
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Environmental
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85 years’ experience in providing Nuclear & Conventional
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One-stop shopping for all your EQ needs
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Asset Calculations
Algorithm by :
Health Index (HI), which is a function of scores and weightings, is therefore given by:
∀m
HI =
∑α
m =1
∀m
∑α
m =1
m
m
(CPS m × WCPm )
×
(CPS m. max × WCPm )
1
× DR
CPFmax
Equation 1
where
∀n
CPS =
∑β
n =1
∀n
∑β
n =1
n
n
(CPFn × WCPFn )
(CPFmax × WCPFn )
Equation 2
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Algorithm by :
Sample Asset Class Calculation Tables
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Maximo Implementation
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Oakville wanted to automate the Asset inspections
process to support the Asset Health Index requirements
To support and satisfy this Ontario regulatory
requirement, ATCO I-Tek implemented the Asset Health
Analysis toolset
The Asset Health Analysis toolset requires no
customizations and uses only Maximo configuration
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Maximo Asset Module
Requirements:
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Ability to select one of nine asset classes to record inspections (45
total classes)
Each Asset Class has different Asset Health calculations and
inspection requirements
Ability to produce Asset Health Index number
Ability to record Health Index over life of Asset through numerous
inspections
Ability to report Health Index to determine if Asset Maintenance
Strategy is correct
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Asset List Tab
Upon select from the Asset (search) List Tab,
the Health Index tab updates to the correct Asset Class.
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Asset Tab
Users have ability to assign an Asset Type, which upon selection, makes the related
Asset Inspection Tab visible.
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Asset Health Tab
User has selected a Wood Pole asset and moved to the Health Index tab.
Previous inspections are available for review, and the ability to enter new
inspection data is available.
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Inspections – Keeping it Simple
All inspections fields use ‘normal’ language, and condition and weighted values are held in
database for calculations. Index is calculated dynamically, based on any changes to any field
(until completed).
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How is Maximo Configured?
Asset Health Index tabs are configured using the Maximo Application Designer.
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How does Maximo know which Asset?
ATCO I-Tek uses Maximo Signature Options to recognize which Asset has been selected
and display appropriate Health Index information.
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Wood Poles Selection
ATCO I-Tek uses a Maximo Expression and Property Condition to trigger display.
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Security Options
Ability to view any tab is based on security group. Only authorized users can view, enter
or edit inspection and health data.
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Asset Health Objects (Tables)
Each Health Index Asset Object is configured in Maximo.
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Asset Health Object Relationships
Maximo database relationships are used by automation scripting to pull values from
the weights and ratings tables.
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Behind the Scenes: Database Values
Weights table determines the weight of the rating in the calculations.
These values are replaced with ‘normal’ language labels on the screen.
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Maximo Domain Values
Maximo Domains (Drop List Values) relate the ‘normal’ language to the database values
from previous screen.
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Asset Health Automation Scripts
Scripts are not
customization,
but rather a
new way to
utilize Maximo
for ‘on the fly’
calculations
Does not
impact
upgrades
Jython scripts calculate all of the ratings chosen by the user and compile into
final scores based on all of the weighted values.
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The I-Plan Toolset
Our Executive Dashboard provides three major analysis areas:
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Asset Health and Performance
Analyzes Asset Health and Performance
Analyzes Asset Downtime and Root Cause Analysis (RCA)
Compare Asset Metrics across the Enterprise
Improves Asset up-time
Maintenance Strategy Analysis
Analysis Maintenance Strategy by Asset, Asset Class or Enterprise
Determine if specific strategy for Asset Class is Effective
Utilize Analysis tools to Guide Decisions on Strategic and Tactical
Approach
Capital Planning
Assist with Asset Replacement Decisions
Improved Cost control & Forecasting
Support Balanced Capital and O&M expenditures
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Maximo Asset Reports
We modify Asset Detail Reports to include the Asset Health Data and KPIs.
Managers can quickly assess the Asset through intuitive tools.
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ATCO ‘I-Plan’ Dashboard
The ‘I-Plan’ Executive Dashboard Toolset makes data come alive, supporting improved decisions.
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Case Study: Performance Monitoring
Maximo Performance Testing In Days, Not Weeks
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About StressTester and Sentinel
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Enterprise-class applications
performance testing tool
Provides in-depth analysis of Maximo
performance, scalability and load
capacity
Ensures scalability and stability
without the delays of traditional
performance testing tools
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Performance Monitoring / Stress Testing Case #1
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Problem – slow performance
(minutes to logon, responses, etc)
CPU usage would spike at 80% for 20
hour cycles!!
Sentinel utilized – monitored Oracle,
Solaris, WebLogic. Maximo running
on WebLogic. OS was Solaris
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Performance Monitoring / Stress Testing Case #1
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What was found – reporting issue was
consuming resources on Server (issue
with Reporting software)
Peeling back the layers other issues
were found but this “issue” was the
major problem
Net Result – speed increased by up to
50%
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Performance Monitoring / Stress Testing Case #1
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Performance Monitoring / Stress Testing Case #2
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Situation – brand new Maximo
installation
Problem – BIG Performance issues
with Go Live!!!
Problems could not be identified by SI
System crashed after 15 users logged
on
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Performance Monitoring / Stress Testing Case #2
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Stress Tester implemented – a
number of issues were uncovered and
after recommendations were
implemented 100 simultaneous users
were supported
However – with 120 Users system
would crash – very unstable.
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Performance Monitoring / Stress Testing Case #2
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Re-implemented a new clustered
configuration in WebSphere. Ran
Stress Tester on it and up to 150
Users were now supported. Very
stable system with excellent response
times.
The tool provides the ability to
confirm/test Maximo stability and
scalability. Without it it’s a needle in
a hay stack adventure!
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Performance Monitoring / Stress Testing Case #2
Step Analysis
Each user journey can be broken down and a comparison can be
performed on each executed step. The break down for one user
journey is displayed in the chart below. Each user journey will
have its own comparison chart however only one is displayed.
A review of each user journey has been conducted and the steps
that are taking the most amount of time for users are:
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Getting to the Maximo Home Page
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Logging in
Connecting to Maximo and logging in should not be the
bottlenecks in a performance test of 25 users. Failure to log into
Maximo resulted in StressTester failing to receive responses and
explains why the graph in Figure 4 stopped in the middle of the
test.
Figure 4
Figure 5 – Test 2 Step Analysis Chart
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Case Study: Downtime Reporting
Turning Operational Data Into Information with RtDuet
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Why Manage Downtime
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Increased plant efficiency and
performance
Improved safety
Extended asset life cycle
Availability is a key maintenance and
reliability metric
Reduced unplanned maintenance
Reduced maintenance costs
Improved product quality
Greater visibility of asset performance
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Real time Maintenance KPI
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ISO 14224 Timeline Definition
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Downtime in Operations
Equipment Stoppages
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Unplanned maintenance (breakdowns)
Scheduled maintenance
Operational delays (blockages, shift change)
Non-scheduled time
Idle (Energy supply, feed supply, stock-bound)
Equipment Slowdowns
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Aging equipment
Poor quality feed
Bottlenecks
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Automatically generates operational performance information:
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Exposes business logic using a configuration
environment driven by templates
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Delivers real-time information:
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Maintenance KPIs:
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Maintenance KPIs:
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Situation at Gas Exploration
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Current process for collecting rotating
equipment reliability data across assets is a
manual process
Difficulties in recording the level of information
required for analysis and in presenting this
information in a format that will help drive
improvement in the reliability of rotating
equipment
Looking for a central maintenance dashboard
Looking to develop and document the
requirements for a global downtime events
capture, classification, analysis and reporting
system
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The Solution
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RtDuet system used to collect downtime
information relating to all turbomachinary
equipment
Info. collected and presented in a dashboard
built in RtDuet that can be used by the central
maintenance team in order to demonstrate the
benefits of regularly collecting high quality
equipment availability information
Allows flexibility for the users
Captures the requirements that can be used to
drive future projects
Project run using agile development techniques
to allow the flexibility for development
functionality
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Realized Benefits
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Reduced overhead of collecting equipment
availability data in the assets and improved the
quality of information collected
Proactively manages the agreements with local
service providers
Improvement in the availability of rotating
equipment
Identified requirements for a global system for
capturing, classifying, analysing and reporting on
plant equipment downtime events
Identified data and visualisations useful as part
of a future central maintenance dashboard
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Questions
John Bergsten
Client Sales Executive
Tel: 780- 278-1201
Email: [email protected]
Get the most from your assets with ATCO I-Tek.
Call us toll-free at 1-855-360-ITEK (4835).
Experience. Service. Solutions.
atcoitek.com
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