Tim Ricketts C&SI Tiger Team IBM MEA Asset... · © 2013 IBM Corporation Industry Trends. Tim...

© 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


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”


Intelligent Transportation Systems are being developed around the world as a response to changing demographics . . .


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


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


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.


• 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


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


Quality

• Data agnostic• User-friendly

model creation• Interactive

dashboards• Quickly make

decisions1

2

3

4

5


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


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?


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


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

+ =


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


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


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


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


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


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


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


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


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.

Tim Ricketts C&SI Tiger Team IBM MEA Asset... · © 2013 IBM Corporation Industry Trends. Tim...

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