Tim Ricketts C&SI Tiger Team IBM MEA · 2017. 9. 14. · Data integration provided by Websphere...
Transcript of Tim Ricketts C&SI Tiger Team IBM MEA · 2017. 9. 14. · Data integration provided by Websphere...
© 2013 IBM Corporation
Industry Trends
Tim RickettsC&SI Tiger TeamIBM MEA
© 2013 IBM Corporation2
INSTRUMENTEDNew abilities to measure, senseand see the exact condition of everything.
INTERCONNECTEDPeople, systems and objects can interact with each other in entirely new ways.
INTELLIGENTProcesses & things can respond to changes quickly and accurately optimizing for future events.
New Innovations are Transforming Entire Industries
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The convergence of physical assets and IT applications requires a new approach for managing infrastructure and services
Which Deliver Unique Value when Integrated into an Ecosystem of Intelligent “Systems of Systems”
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Intelligent Transportation Systems are being developed around the world as a response to changing demographics . . .
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Global Transportation Business Drivers and Trends
DRIVERS OF CHANGE CHALLENGES STRATEGIC IMPERATIVES
Economic GrowthGlobal economy is expanding and citizens are getting wealthier. Transportation providers will need to expand capacity to keep up with freight and passenger growth
Passenger GrowthAs the number and size of cities grows, pressure on transportation systems to move people and goods between and within those cities grows.
GlobalizationThe growing interconnectedness of the world is driving growth in demand, with an expectation of improved service
Technology ImprovementsTechnology now enables the capture and analysis of real-time information about the status, location and condition of transportation operations
Capacity and congestionMeet the growing, changing demand efficiently, consistently and profitably?
Empowered customersDeliver choices for ticket purchase, changes in travel plans, tracking of goods and presenting information in the way that customers value
Efficient, green operationsReduce cost and dependency on scarce resources while reducing environmental impact.
Safety and securityIncrease the safety of operations, with less impact on customers and reduce exposure to security risks
Predict demand and optimize capacity and assets.
Dramatically improve the end-to-end customer experience.
Improve operational efficiency while reducing environmental impact.
Assure safety and security of transportation nextworks and systems
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IBM: Delivering Total Lifecycle Asset Management
• Drivers of Asset Management for A Smarter Planet:• The emergence of pervasive devices, embedded chips, RFID, sensors, detectors and IP
addresses attached to enterprise assets• Need to measure and manage the availability and use of all strategic assets• Cost inefficiencies and complexity associated with redundant asset management infrastructure• Improved risk management across the enterprise
AssetStrategy Plan Evaluate and
DesignCreate / Procure Operate Maintain Modify Dispose
Asset LifecycleTraditional
Asset Classes
Facilities and Real Estate Distribution Centers, Offices, Warehouses, Retail Space, Land, Schools, Airports
Plant and Production Industrial, Mining, Chemical, Petroleum, Electronics, CP, Life Sciences, PowerGen
IT Equipment and Network Desktops, Networks, Routers, Applications, Auto Discovery, Service Desk
Transportation and Fleet Fleet, Freight Logistics, Airlines, Railroad, Transit , Marine, Military
Roads, Bridges, Tunnels, Railways, Electric / Gas Distribution, Telecom, WaterInfrastructure
© 2013 IBM Corporation7
Traditional Way of Doing Asset Management
Challenges• Assets are managed and maintained according to a fixed schedule• Unplanned issues with assets are manually reported, delaying the response
time.• Responses are reactive, typically only after a failure has occurred.
Question• How can we use data from networked assets to reduce the response time,
and enable proactive action rather than waiting for failures?
Solution• Use the real-time metric and event data coming from instrumented and
networked assets to automatically create tickets to address issues or respond to failure warnings.
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• Monitor, maintain and optimize assets for better availability, utilization and performance
• Predict asset failure to optimize product quality and supply chain processes
• Remove guesswork from the decision-making process
• models, dashboards, reports, data connectors and ?????
Predictive Maintenance reduces operational costs, improves asset productivity and increases process efficiency
© 2013 IBM Corporation
IBM Predictive Maintenance for asset-intensive organizations
Tim RickettsC&SI Tiger Team IBM MEA
© 2013 IBM Corporation11
Predictive Maintenance is the next step towards Maintenance Excellence
Reactive Maintenance (machine fails, then fix)
Preventive Maintenance(based on manufacturers’ schedules, time, or operational observations)
Condition-based Maintenance (based on monitoring to assess condition of assets)
Predictive Maintenance (based on models of evolution of the condition of assets)
Source: Gartner
Maintenance Maturity Model
Managing budget costs while improving reliability and safety
Predictive Maintenance uses analytics to model foreseeable evolutions of the characteristics of individual systems or assets
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IBM Predictive Maintenance and Quality•Reduce operational costs•Improve asset productivity •Increase process efficiency
AccelerateTime-to-Value
Real-time capabilities Big data, predictive, and advanced
analytics Quick and accurate decisioning Maximo integration Open architecture Business intelligence
Singularsoftware capabilities (Maximo, Cognos)
Customizable, cross-IBM, software and services solution (Analytics with real-time data integration)
Packaged, cross-IBM, software product (Analytics with real-time data integration)
2012
Q1 2013
July 23, 2013!
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Severity Factors•Health and Safety Issues•Asset Damage / Repair Costs•Loss of Revenue
Predictive Maintenance and Quality delivers significant value where both the impact of failure and the probability of failure are high
Greatest need for Predictive Asset Optimization
Lower need for Predictive Asset Optimization
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Predictive Maintenance and Quality converges Enterprise Asset Management (EAM) and Analytics capabilities
Enterprise Asset Management Better Outcomes
Predictive Maintenance and
Quality
Analytical insights
Asset Lifecycle
Mgmt
Facilities Operation
Staff Planning
Supply Chain
Processes
Optimized maintenance windows to reduce operating expense
Efficient assignment of labor resources
Enhanced capital forecasting plans
Optimized spare parts inventory
Automated analytical techniques, including anomaly detection for assets and sensors
Improved reliability and uptime of assets
Asset maintenance history
Condition monitoring and historical meter readings
Inventory and purchasing transactions
Labor, craft, skills, certifications and calendars
Safety and regulatory Requirements
+ =
Any other data source
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A proven architecture based on best practices underlies Predictive Maintenance and Quality
Integration Bus(Message Broker)
End User Reports, Dashboards, Drill Downs
High volume streaming data
Telematics, Manufacturing Execution Systems,
Legacy Databases, Distributed Control
Systems
Enterprise Asset Management Systems
Analytic Datastore(Pre-built data schema for storing quality, select machine and prod data,
configuration)
PredictiveAnalytics
DecisionManagement
BusinessIntelligence
Advanced analytics powered by IBM SPSS and Cognos
Data integration provided by Websphere Message Broker and Infosphere Master Data Management Collaborative Edition, which feeds a pre-built, DB2-based data schema
Process Integration with Maximo –automatic work order generation
Includes data models, message flows, reports, dashboards, business rules, adapters, and KPIs
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Predictive Maintenance and Quality analyzes data from multiple sources and provides recommended actions, enabling informed decisions
Asset MaintenanceAsset Performance Process Integration
Collect & Integrate DataStructured, Unstructured,
Streaming
Generate Statistical & Predictive Models
Conduct Root Cause Analysis
Display Alerts and Recommended Actions
Act upon Insights
Predictive Maintenance and
Quality
• Data agnostic• User-friendly
model creation• Interactive
dashboards• Quickly make
decisions1
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Business Use Case Business Value
Predictive Maintenance and Quality generates significant business value for organizations
Predict Asset Failure/Extend Life Determine failure based on usage and
wear characteristics Estimate and extend component
life
Utilize individual component and/or environmental information
Increase return on assets
Identify conditions that lead to high failure
Optimize maintenance, inventory and resource schedules
Predict Part Quality Detect anomalies within process Improve quality and reduce
recalls Compare parts against master Reduce time to identify issues
Conduct in-depth root cause analysis Improve customer service
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What customer questions can be answered with IBM Predictive Maintenance and Quality?
How can I reduce process variability?
What is the life expectancy of an asset’s component or
part?
How can I detect warranty issues sooner?
How can I predict an impending equipment failure
and the cause?
How can I perform in-depth, root-cause failure analysis on my process and
equipment?
?Asset Performance
Process Integration
How do I achieve optimal equipment efficiency and
availability?
How can I optimize my maintenance plan?
How can I ensure supply is aligned with demand?
How can I create the highest quality products?
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DC WaterPredict potential infrastructure problems
The OpportunityFacing an aging infrastructure and numerous customer complaints, the District of Columbia Water and Sewer Authority (DC Water) needed to improve asset reliability and lifespan, and streamline its business processes.
IBM SolutionIBM & Business Partners help staff gain greater visibility into its assets and streamline business processes across the organization. This is vital in enabling staff to identify patterns and make informed decisions regarding which infrastructure assets to repair, which to replace and when.
Real Business Results 36 percent reduction in customer calls through increased preventive maintenance
and implementation of automated meter readings
Increased percentage of emergency investigations dispatched within 10 minutes from 49 percent to 93 percent
Ability to generate reports for regulatory compliance and management review in seconds versus days
Significant reduction in asset downtime
Industry
Geo
Energy & Utility
North America
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Predictive Maintenance and Quality converges Enterprise Asset Management (EAM) and Analytics capabilities
Enterprise Asset Management Better Outcomes
Predictive Maintenance and
Quality
Analytical insights
Asset Lifecycle
Mgmt
Facilities Operation
Staff Planning
Supply Chain
Processes
Optimized maintenance windows to reduce operating expense
Efficient assignment of labor resources
Enhanced capital forecasting plans
Optimized spare parts inventory
Automated analytical techniques, including anomaly detection for assets and sensors
Improved reliability and uptime of assets
Asset maintenance history
Condition monitoring and historical meter readings
Inventory and purchasing transactions
Labor, craft, skills, certifications and calendars
Safety and regulatory Requirements
+ =
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Predictive Maintenance and Quality provides several key features
Accelerated Time-to-Value
Big Data, Predictive and Advanced Analytics
Open Architecture
Business Intelligence
Real-time capabilities
Quick and Accurate Decisioning
Maximo integration
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Real-time Capabilities
Features Conduct real-time monitoring
of assets and processes Collect, integrate, analyze, and
report streaming information Orchestration of events and
services for efficient processing
Connect to sensors, PLCs, SCADA systems, databases, maintenance logs, Big Data streaming sources
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Big Data, Predictive and Advanced Analytics
FeaturesLeverage descriptive, predictive, and prescriptive analytics, as well as data and text miningUtilize menu-driven interfaces without the need for any programming to create predictive modelsAsset health modeling based on real-time event data –measurements, logs, alarms, repair historyProduct anomaly detection detects product uniformity issues, and outliers providing lot inspection recommendations
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Quick and Accurate Decisioning
FeaturesUtilize the Decision Management methodology and optimize decisions at the point of impact, balancing resource and costs constraints Combine asset and process business rules of the organization to enhance decisionsConduct “what-if” simulations to accommodate changing operational conditionsProvide optimized decisions directly to decision-makers
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Maximo Integration
Features Integrate directly with
Enterprise Asset Management systems such as IBM Maximo
PMQ leverages asset master data from Maximo
Master data is synchronized between Maximo and PMQ
PMQ generates work orders based on analytic insight and business rules
Act upon predictive insights
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Open Architecture
Features Stream data from many sources
for data aggregation APIs for integration and
customization Quickly expand included content
for specific industry and business applications
Integrate directly with Enterprise Asset Management systems Business Process Management or other services
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Business Intelligence
FeaturesMonitor status and quickly address areas of concernConduct self-service query, reporting and analysis from virtually any data source Leverage the drag-and-drop studio environment to provide real-time viewsExperience insight wherever needed with mobile capabilitiesDrill-down into data for additional insight
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Accelerated Time-to-Value
Features Business user interface for master
data entry and modification Leverage easy-to-install, pre-
configured software and content stack
Utilize out-of-the-box data source connectors and models, dashboards, and reports to reduce the need for additional services
Quickly expand included content for specific industry and business applications
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Integration Overview
IBM PMQ contains adapters for IBM Maximo, which allow data integration
IBM PMQ uses existing Maximo infrastructure for data integration Maximo Upstream Module (Master Data Loading)
• IBM PMQ can consume master data residing in IBM Maximo• IBM PMQ mirrors the asset data that is managed in IBM Maximo. • An automated process can be designed to synchronize data between IBM
PMQ and IBM Maximo• Data that comes from IBM Maximo must be updated and maintained in
IBM Maximo. It is not possible for changes that are made in IBM PMQ to be propagated back to IBM Maximo
Maximo Downstream Module (Work Order Creation)• IBM PMQ generates recommended actions which can be passed to IBM
Maximo • IBM PMQ can be customized to import IBM Maximo work orders as
events to record activities such as inspections and repairs.
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