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© 2013 IBM Corporation Asset and Work Management Trends for Utilities Saif Chowdhury – IBM Tiger Team, Energy & Utilities 10 Sept. 2013

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© 2013 IBM Corporation

Asset and Work Management Trends for Utilities

Saif Chowdhury – IBM Tiger Team, Energy & Utilities10 Sept. 2013

© 2013 IBM Corporation2

The information on the new product is intended to outline our general product direction and it should not be relied on in making a purchasing decision. The information on the new product is for informational purposes only and may not be incorporated into any contract. The information on the new product is not a commitment, promise, or legal obligation to deliver any material, code or functionality. The development, release, and timing of any features or functionality described for our products remains at our sole discretion.

THE INFORMATION PROVIDED IN THIS DOCUMENT IS DISTRIBUTED “AS IS” WITHOUT ANYWARRANTY, EITHER EXPRESS OR IMPLIED. IBM EXPRESSLY DISCLAIMS ANY WARRANTIES IFMERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE OR NON-INFRINGEMENT

© 2013 IBM Corporation3

Agenda

• Introduction• Asset/Asset Management• The Value and Purpose of Asset Management• Asset Management Standards • Changes across the Utilities Value Chain• Big Data /Data Analytics• Smarter Planet/Infrastructure• Maximo Spatial• HSE• RCM Analysis• IBM Focus Areas

• Advanced Scheduling & Workforce Management• Mobile Applications, Asset Performance Management• Data Center Infrastructure Management• Asset Performance Management and Analytics

• Asset Management Benefits• Asset Management Maturity• Q & A

© 2013 IBM Corporation5

Definition of Asset Management and Work Management

• Asset Management: Coordinated activities of an organization to realise value from an asset.

systematic and coordinated activities and practices through which an organization optimally and sustainably manages its assets and asset systems, their associated performance, risks and expenditures over their life cycles for the purpose of achieving its organizational strategic plan

*From PAS (Publicly Available Specification) 55-1/2: 2008

• Work Management: Is simply the management of work or work order management.

© 2013 IBM Corporation6

The Value of Asset Management

LimitedResources

ComplianceFramework

MaximizingReturn on

Assets

Highestreliability

Lowestcost

Reduce labor costs

Improve planning & scheduling

Reduce Inventory

Reduce downtime

Managerisk

Comply withRegulations

Maximize output

Visibility

RetainKnowledge

© 2013 IBM Corporation77

Purposes of Asset ManagementImproving Service:- Manage the service by improving production reliability: Productivity (units produced per hour), Cost (cost per unit), Quality (percent perfects)

Reducing Cost:- Transform assets into business value faster by controlling costs around its management: Labor efficiency, Spare parts optimization

Mitigating Risk:- Prevent safety and regulatory risk- Pinpoint under utilized software- Improve compliance management- Connecting to the world securely with 100% availability and improved resilience

Acting with Agility and Speed- Lean and connected supply chain visibility- Informed and collaborative workforce- Real time insight into all physical assets across the lifecycle- Understand cost of delivering IT enabled service management

© 2013 IBM Corporation8

© 2013 IBM Corporation9

Challenges that companies faceCompanies are more and more focusing on Asset Management as a response to significant market pressures:

Need to Maximize Return on Assets (RoA) Risk of Failure of Critical Assets Complexity of Operations High Energy Costs Regulatory Compliance Aging/Retiring Workforce

In order to address these pressures, Best-in-Class companies are more likely to standardize asset maintenance and reliability

processes across the enterprise.

© 2013 IBM Corporation10

Full Support of the Asset Lifecycle

Drivers for Enterprise Asset Management:• The emergence of pervasive, RFID, sensors, detectors and IP addresses attached to enterprise

assets• Extending the useful life of capital assets• Need to measure and manage the availability and use of all strategic assets• Integration of information from Shop Floor to the Top Floor• Improved risk management across the enterprise

AssetStrategy Plan Evaluate and

DesignCreate / Procure Operate Maintain Modify Dispose

Asset Management Lifecycle

All Asset Classes

Plant and Production Industrial, Mining, Chemical, Petroleum, Electronics, CP, Life Sciences, Power Gen

IT Equipment and Network Laptops, Desktops, Servers, Networks, Routers, Software, Licenses

Transportation and Fleet Fleet, Freight & Logistics, Airlines, Marine, Military, Railroad, Transit

Facilities and Real Estate Airports, Seaports, Offices, Warehouses, Retail Space, Land, Hospitals, Schools

Runways, Railways, Roads, Tunnels, Electric / Gas Distribution, Telecom, WaterInfrastructure

© 2013 IBM Corporation11

Infrastructure Is Increasingly Complex

© 2013 IBM Corporation12

The Way We Work Is Changing

© 2013 IBM Corporation13

© 2013 IBM Corporation14

PAS 55 – Optimized Management of Physical Assets

14 Source: PAS 55 Part 1: Specifications for the optimized management of physical assets , BSI 2008

© 2013 IBM Corporation1515

Config-uration

ManagementChangeManage

ment

AssetManagement

FacilitiesProduction

IT

Asset Convergence: IT-enabled Operating AssetsBlurring lines of ownership require a unified solution to manage all assets

Transportation

IT-enabled operating assets• IT improves asset

performance

• Networked connectivity for remote monitoring

• Networked connectivity for maintenance automation

• On-board IT creates asset sophistication

• Automation of complex tasks

• Mechanics replaced by electronics

© 2013 IBM Corporation16

© 2013 IBM Corporation17

Maximo Asset Management leverages PAS 55/ISO 55000• Enables a natural alignment with PAS 55 - Using IBM Maximo Asset

Management software supporting PAS 55 can help to:• improve customer service, increase return on assets, enable greater compliance,

improve asset performance, reduce risk—all in a shorter time period, provide bettervisibility and control of all required information to better align with the organization’soverall business goals and objectives.

• Supports full Maintenance Management requirements. This is optimized at process level. - Examples are reactive, preventive and planned maintenance combining materials and service management.

• Supports Asset Risk Management. This is optimized at asset performance level. - Examples are asset reliability, service and performance management. Maximo Key Performance Indicators (KPIs) and metrics as Mean Time To Repair (MTTR), Mean Time Between Failure (MTBF) addresses such requirements.

• Supports Infrastructure Management - This is optimized at service performance level. Examples are utilities and facilities management. Maximo's spatial and linear asset management, facilities and integrated workplace management capabilities (based on integration with Tririga’s IWMS).

• Supports IT Asset Management - which is important managing today's complex assets and to integrate requirements from shop floor to the corporate office.

MAXIMO ASSET

MANAGEMENT

© 2013 IBM Corporation18

Variety, Volume and Velocity Of Data is Increasing

© 2013 IBM Corporation19

Key E&U Big Data Use Cases:

Meter Data Analytics

Big Data ChallengesUse Cases

Distribution Load Forecasting & Scheduling

Asset Management & Sensor Data

• High volume of structured data• Valuable Information• Compute intensive analytics• Low latency response on queries• Business Intelligence and Analytics• Understanding the customer through segmentation and analysis

• Very high volumes (TBs to PBs) unstructured data

• Exploration and discovery• Text, Entity and Social Media Analytics

• Real time processing• Detect failure patterns• High volume, low latency

processing• Scoring and decision analytics

© 2013 IBM Corporation20

Meter Data Analytics:

Business Problem Managing the large volume/velocity of information generated by short

interval reads of smart meter data can overwhelm existing IT resources Ensure privacy of meter data which has become a major issue in all smart

meter deployments Cost of retention of meter data to satisfy regulations is unacceptable

Technical Challenges Moving from reading a meter once a month to every 15 minutes increases

data volume by 3,000X which can overwhelm existing IT infrastructure Data storage costs can get out of control using relational data base

technologies Report Generation and analytics can become painfully slow

Opportunity Identification Do you have a Smart Meter program in progress or planned? Are you able to load and analyze all of your information fast enough to

support decision making? Do your applications struggle to meet SLAs due to increased data volume? Have your storage costs exploded due to increased data volumes? Is sensitive customer meter information secure?

Informix Time SeriesNetezzaOptim Guardium

Solution:

© 2013 IBM Corporation21

Distribution Load Forecasting and Scheduling:Business Problem:

Forecasting performed using highly aggregated historical data Accurate demand forecasting to enhance planning and trading Predict when you can profitably sell excess power and when you need

to hedge supply Incorporate renewables and distributed generation into forecasting mix Determine where to optimize investment on new capabilities to

address changing demand patterns of the future

Technical Challenges:

Large volumes of granular historical information required to improve accuracy of forecasting models

Data timeliness Need to understand which parameters actually correlate to drive

demand.

Opportunity Identification: Do you accurately predict when you have excess capacity that can be

traded? Can you accurately predict demand so that you can buy power at most

optimal prices? Do you know which factors most influence demand? Temperature,

weather, day of the week/month, holiday, prior day/week usage, etc. Do you know where to invest to support future demand?

• Netezza SPSS Predictive Analytics in Netezza and Infosphere StreamsCognosMine future demographic projections to determine where to build new plants and transmission facilities

Solution:

© 2013 IBM Corporation22

Asset Management and Sensor Data:

Business Problem: How to determine the best use of maintenance resources. Can you find which operational data is an indicator of impending

equipment problems? Today’s approach to EAM relies heavily on institutional knowledge and

anecdotal insights. Understanding which failures have the greatest cost & operational

impact?

Technical Challenges: Identifying early indicators of equipment health issues Managing all relevant performance information about all types of

equipment Real time monitoring of asset conditions

Opportunity Identification: Can you turn the vast amounts of Enterprise Asset Management /

Metering / Sensor & SCADA data into actionable insight, foresight and prescriptions for maintenance activities?

Is too much maintenance activity focused on unproductive work?

• Netezza

• Identify and integrate the wide variety of data that can impact equipment health SPSSIntegration with Streams and Enterprise Asset Management System to implement predictive maintenance

Solution:

© 2013 IBM Corporation23

Instrumented + Interconnected + Intelligent

… gives us the opportunity to think and act in new ways to make assets more

productive, efficient, and secure.

+ + =

The vision

SMARTER PLANETINSTRUMENTED

INTERCONNECTED

INTELLIGENT

PEOPLE

COMPANIES, INSTITUTIONS, INDUSTRIES

MAN-MADE SYSTEMS, NATURE’S SYSTEMS

© 2013 IBM Corporation24

Measuring, Monitoring, Modeling and Managing

MeteringSensing

Real Time Data Integration

Real Time+ Historical Data

Data Modeling + Analytics

Visualization+ Decisions

Data modeling and analytics to create insights from data to feed decision support and actions

Feed

back

to us

er an

d data

sour

ce;

Incen

tives

and a

ction

s to c

hang

e beh

avior Feedback to user and data source;

Incentives and actions to change behavior

Comparison of historical data, with newly collected data

Data collection

Data Integration

Source: IBM Corporate Strategy

What does it mean to become Smarter?

© 2013 IBM Corporation25

Examples of Smarter Physical infrastructureSmart Meters to reduce power consumption through

demand response.

Many bridges now have built-in sensors to monitor stress and indicate potential failure.

Locomotives built by Bombardier have on-board computer systems using telematics for real-time diagnostics.

A datacenter reduces energy consumption and optimizes service delivery by collecting power, thermal and temperature inputs from IT equipment,

datacenter infrastructure and facilities.

Smart buildings use building automation systems to optimize comfort, safety and energy consumption.

© 2013 IBM Corporation26

© 2013 IBM Corporation27

© 2013 IBM Corporation28

More Accurately define work locations

When a new service request is created, either manually or through a call center, having access to a map of the region to determine the location of the problem leads to a more efficient resolution.

Plan and schedule work by area

Query a map by Address

Optimize technicians travel time

Advanced analytics

Ability to look at a number of open work orders and create a project or work package using a map view. Query work order by status, work type or craft requirements to find related work.

When trying to locate an asset or work order users can query the map by a specific address.

By having a work orders location accurately specified, there is less time spent on travel trying to find the correct address or location, and less time traveling between work locations inefficiently.

Ability to overlay information on a map like traffic or weather information, asset failure history or population to prioritize work, schedule outages or plan future maintenance projects.

Maximo Spatial - Features and Benefits

© 2013 IBM Corporation29

Maximo Oil & Gas/HS&E 7.5.1 - Q1 2013

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Survey and Audit is required by Maximo customers to meet “Quality Management System” requirements.

Permit to Work supports full permit to work process including initiation of a permit from a Work Order and an ability to incorporate permit information into Operator Logs.

Turnarounds and Modifications introduces the capability to manage turnaround and modification project preparedness and execution. Customers are now able to create resource profiles associated with a turnaround and modification project.

Creation of certification records for assets, locations, surveys and audits fulfills compliance requirements for asset intensive companies.

Address critical gaps that remain in the HSE market, which will address opportunities in both the Oil & Gas market and the overall Safety market:

Corporate Responsibility

GHG & EnergyManagement

ProductStewardship

Environmental Management

Health & SafetyManagement

Operational Risk Management

© 2013 IBM Corporation30

Defining and implementing a Maintenance Strategy …Service...Condition Based ..RCM

30

Standards for Failure reporting:Failure => Cause => Remedy

© 2013 IBM Corporation31

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Smarter Infrastructure Growth

• Advanced Scheduling and Field Work Force Management

• Focus on Mobile Applications

• Data Center Infrastructure Management

• Asset Performance Management and Analytics

Four primary investment themes for 2013 and beyond.

© 2013 IBM Corporation32

A new approach to Workforce ManagementSupport for optimization models, automated labor and

crew assignment

IBM Maximo Scheduler 7.5.x Embedded engine delivers objective based optimization

models Scenario based work planning Graphical crew management capabilities Optimized spatial scheduling for reduced crew windshield time

Replaces the need for pure planning and scheduling tools

Effective resource utilization through optimized work schedules

Improves the ability to respond quickly to emergency situations

Planned Availability 4Q 2013

© 2013 IBM Corporation33

Advancing capabilities for better business outcomesOptimize an increasingly mobile workforce to increase organizational effectiveness

IBM Maximo Mobile 7.5.1 Device support extended to the Android platform RFID support for Asset Audits and Enhanced history and

exception handling Barcoding via camera – no scanner required Supports Device inherent capabilities - Voice to Text and

Photo attachments

Expands choice of available ruggedized field devices

Improved performance for increased productivity

Enables Scheduler Field Technicians

© 2013 IBM Corporation34

• Investing in a phased rollout of a new mobile solution ‘Maximo Anywhere’ based on IBM’s WorkLight technologies

• Run on modern o/s and Smart devices (phones, tablets), leveraging device specific capabilities

• Support connected and disconnected scenarios• Easily tailor the mobile UI, for delivered applications and ability to create custom

applications

• Redefine the way work is performed and information is accessed with a common UI across the portfolio (Maximo, SmartCloud Control Desk, TRIRIGA)

Mobility Enterprise Application PlatformPlanned

Availability 3Q 2013

© 2013 IBM Corporation35

Accelerated cross-functional coordination of resources and tasks

Enhance visibility of business impact of issues across IT, space, power, cooling

Enhance problem identification & resolution by correlating IT & non-IT events

Manage complexity and risk by enabling increased visibility and automation across digital and physical infrastructures

IBM SmartCloud Control DeskIntegrated view of resources & relationships beyond the data center; can visualize on mapsAutomated logical fixes thru endpoint management integrationWhat-if impact analytics

IBM Data Center Infrastructure MgmtPartnership with Emerson linking management of the logical and physical aspects of the data center

Extending IT Asset Management Solutions

© 2013 IBM Corporation36

Schedule & Resource Optimization

Asset Management Based Analytics

Scorecards, KPI’s & Reporting

Performance Scoring

Historical Performance Analysis

Predictive Analysis

Failure & Remaining service life analytics

© 2013 IBM Corporation37

Automate execution based on insights from operational data to increase predictability of outcomes

IBM Predictive Asset OptimizationBig Data, Asset Management and Predictive Analytics software and services with a pre-built solution framework Analyzes structured, unstructured and streaming information to determine asset performancePredicts asset failure to optimize quality and supply chain processesIntegrates data and predictive insights to proactively enable corrective actions

Reduces repeat repairs by up to 50%

Reduces overall accident rates by 20% or more

Reduces utility network incidents by up to 41%

Advancing capabilities for better business outcomes

© 2013 IBM Corporation3838

IBM Asset Management Benefits for CompaniesBusiness Scenarios ROI Points Customer Examples

Labor Utilization Up 10-20% A major US railroad saved US $5M by better tracking labor to specific work

Asset Utilization Up 3-5% Reduction in forced outages for a multi-state power generation company expected to yield $2.1 million annual savings

Equipment Purchases Down 3-5% A pipeline company saved US $4M by meeting 100% availability with fewer vehicles

Warranty Recoveries Up 10-50% A consumer products company with a medium size fleet increased warranty recovery 50%

Inventory Needs Down 20-30% A large drilling company was able to identify US $12M in excess or obsolete inventory

Inventory Carrying Costs Down 5-20% A railroad reduced saved US $1.8M impacting financing,

insurance, handling, overhead, etc.

Material Costs Reduced 10-50% A rail maintenance service company reduced costs 20% by optimizing material purchases

Purchasing Labor Reduced 10-50% A fleet management company reduced purchasing staff by 20%

© 2013 IBM Corporation39

Asset Management Maturity

5Initial EAM ImplementationInitial EAM Implementation55--10 years for Optimization10 years for Optimization

© 2013 IBM Corporation40

© 2013 IBM Corporation41

Remember………

Smarter Asset Management begins with understanding where you stand.

© 2013 IBM Corporation42

Questions

Saif Chowdhury ([email protected]) – Tiger Team, Energy & Utilities

© 2013 IBM Corporation43