ibm predictive maintenance and uality...4 ibm, the essential cio: insights from the global chief...

Overview

IBM PREDICTIVE MAINTENANCE AND QUALITY

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Copyright 2013 Senturus, Inc. All Rights Reserved 2

Presentation Slide Deck on www.senturus.com

Copyright 2013 Senturus, Inc. All Rights Reserved 3

• Introductions

• Why this topic?

• Predictive Maintenance and Quality (PMQ) Overview

• Customer Examples

• PMQ Architecture Overview

• Q & A

Today’s Agenda

4 Copyright 2013 Senturus, Inc. All Rights Reserved

• Architectures & Data Transformation

• Solutions

• Tools

• Methodologies & Techniques

• People & Processes

Senturus Webinar Series Topics

5 Copyright 2013 Senturus, Inc. All Rights Reserved.

Our Approach:

Our webinars are delivered by Senturus team members

and industry experts (guest speakers)

Chapters in the BA Demystified Series

• Architectures & Data Transformation

• Solutions

• Predictive Analytics applied to Maintenance & Quality

• Tools

• Methodologies & Techniques

• People & Processes

Today’s Webinar


Our Approach:

Our webinars are delivered by Senturus team members

and industry experts (guest speakers)

Chapters in the BA Demystified Series

John Peterson CEO, Senturus

Anuj Marfatia IBM Program Director,

Solutions Marketing

Today’s Presenters

Who we are

SENTURUS INTRODUCTION

Senturus: Business Analytics Consultants

Business Intelligence

Enterprise Planning

Predictive Analytics

Our Team: Business depth combined with technical expertise.

Former CFOs, CIOs, Controllers, Directors

Copyright 2013 Senturus, Inc. All Rights Reserved.

700+ Clients, 1400 Projects, 13 Years


• Senturus has been a IBM Cognos “Premier” Partner for 12 years (One of 10 such Partners in North America)

• Senturus has won a number of IBM and Cognos awards over those years

• Senturus sits on the board of the Cognos User Group of Northern California

• A number of Senturus consultants are former IBM Cognos employees

• IBM Cognos professional services has often staffed their consulting engagements with Senturus people

• We have delivered over 1,000 successful projects using IBM technologies

The Senturus IBM Cognos Relationship

Why now?

PREDICTIVE ANALYTICS

The Evolution of Business Analytics

Operational Reports

Dashboards & Scorecards

SQL Reports

OLAP & Ad-hoc

Forward Looking

Integrated Planning & Forecasting

Advanced Visualization

Predictive Analytics

Rear View

Mirror

Present Future Past

Today’s Situation

• Organizations have spent over a Trillion dollars on operational systems (ERP, CRM, etc.) which contain massive amounts of valuable digital data

• Organizations have spent Billions of dollars on Business Intelligence systems and data marts/warehouses

• New IP-based devices are throwing off Billions of records (“data exhaust”) daily

• I.E. – The Data Is There!

Why the time is ripe

Today’s Situation (cont.)

• Moore’s law has driven massive increases in computing power, storage space, and network bandwidth.

• …while reducing cost

• Thus, driving esoteric applications into the mainstream.

• I.E. The Power and Software is There!

Why the time is ripe

Today’s Situation (cont.)

• BUT, most BI systems still simply pump out canned reports showing past activity

• AND, expect humans to sift through it all in order to make impactful business decisions and take appropriate action for the future

We can do so much more…

Shifting from Reactive to Proactive

PREDICTIVE MAINTENANCE AND QUALITY

Poor asset performance

• Lack of visibility into

asset health

• High costs of

unscheduled

maintenance

• Inability to accurately

forecast asset

downtime and costs

• Resultant

unnecessary process

proliferation

• Aging assets pushed

to limits to meet

consumer needs

Limited process integration

• Lack of visibility of

predictors across

organizational silos

• Difficulty

synchronizing

demand and supply

• Too many manual

processes and

information sources

• Losses in processes

have become normal

• Resource complexity

makes it harder to

respond to changing

needs

Raw-material

price volatility

Compliance

and scrutiny

Aging

workforce

Complex

supply chains

Customer

demands

Lean

operations

Predictive and Business Intelligence Predictive Maintenance and Quality

Marketplace Forces are Amplifying day-to-day Issues

Number of sensors by 20151

Estimated price of average passive sensor by 2021,

representing a 66 percent decrease in eight years2

Percent of CIOs with mandates to transform the business who

are looking to simplify key internal processes4

99% #1 Failure of critical assets was

the top risk stated by executives as having the

biggest impact on operations3

1 trillion, USD0.03

Interconnected growth,

lower data-capture cost

Focus on operational

processes

Risk of asset failure

1Making Markets:Smarter Planet. IBM Investor Briefing, 2012

2 Big Data-Startups, “The Great Sensor-Era: Brontobytes Will Change Society,” April 16, 2013.

3 Aberdeen Group, Asset Management: Using Analytics to Drive Predictive Maintenance, March 19, 2013.

4 IBM, The Essential CIO: Insights from the Global Chief Information Officer Study, May 2011.


Opportunities Exist to Improve the Bottom Line

IBM Predictive Maintenance and Quality

Accelerate time to value

• Real-time capabilities

• Big data, predictive and

advanced analytics

• Quicker and more-accurate

decision making

• IBM Maximo® integration

• Open architecture

• Business intelligence

Improve

asset productivity

Increase

process efficiency

Reduce

Operational

costs


• Helps monitor, maintain and optimize

assets for better availability, utilization

and performance

• Helps predict asset failure to better

optimize quality and supply chain

processes

• Reduces guesswork during the

decision-making process

PMQ Enables Better Business Outcomes

Combined with out-of-the-box models,

dashboards, reports and source connectors


PMQ offers business value for organizations

BUSINESS USE CASES BUSINESS VALUE

Predict asset failure

• Assess failure based on usage

and wear characteristics

• Use individual-component information,

environmental information or both

• Help identify conditions that can lead to

high failure

Predict poor quality parts/components

• Help detect anomalies within processes

• Compare parts against a master

• Conduct in-depth, root-cause analysis

Estimate and extend component life

Increase return on assets

Improve maintenance, inventory and

resource schedules

Improve quality and reduce recalls

Reduce time to identify issues

Improve customer service


Israel Electric Increases Grid Reliability

20% cost reduction by avoiding the expensive process of reinitiating a power station after an outage

USD80,000 savings per turbine on petrol combustion

costs by avoiding malfunctions of

turbine components

Increased

efficiency of preventive maintenance

schedules, costs and resources,

resulting in fewer outages and

higher customer satisfaction

Business problem: The company’s research institute is charged with

improving the safety and reliability of power generation and transmission

while fueling innovation. That includes planning for disruptive events such

as solar storms, making improvements in transmission efficiency,

incorporating new sources of renewable energy into the grid and

analyzing growing volumes of data from an increasingly smart grid.

Solution: This energy provider uses powerful predictive analysis to

understand when and why outages occur so it can take steps to prevent

them.


Honda R&D Co., Ltd Uses Predictive Analytics

50% reduction in carbon dioxide emissions by commercializing EV technology

Business challenge: Because all-electric vehicles (EVs) do not use gasoline

as do traditional or hybrid cars, they rely entirely on their batteries for power.

Honda R&D Co., Ltd., a division of Honda Motor Co., Ltd., wanted to better

understand what factors had the greatest effect on battery performance and

longevity.

The smarter solution: Honda R&D can now gather and analyze near-real-time

battery data from Fit EVs on the road in Japan and the United States. Analysis

can identify which operating factors, such as road conditions, charging patterns

and trip length, have the greatest effect on battery life. Further analysis can help

the automaker predict when batteries need to be replaced so it can alert owners

in advance.

“Data gathered from the real-world operation of our vehicles is critical to predict

the longevity of current batteries and greatly influences future product design.”

—Senior chief engineer, Automobile R&D Center

Boosts confidence and customer satisfaction with

EVs by improving performance

Improves design by analyzing massive amounts

of operating data


#1

Asset performance Process integration

Collect and

integrate data

Structured and

unstructured,

streaming and at rest

Generate predictive

and statistical models

Attain analytical

insights

Display alerts

and recommend

actions

Act upon insights

#2 #3

#4

#5

Predictive

Maintenance

and Quality

• Data agnostic

• User-friendly model creation

• Interactive dashboards

• Enables faster decisions

PMQ Analyzes Data from Multiple Sources Predictive and Business Intelligence Predictive Maintenance and Quality

PMQ uses data from raw format to action

Telematics, manufacturing execution

systems, existing databases, distributed

control systems

High-volume

streaming data

Enterprise asset

management systems

IBM Predictive Maintenance and Quality

End user reports,

dashboards, drill

downs


With a proven architecture

• Advanced analytics

powered by IBM SPSS

and Cognos software

• Data integration

provided by IBM

Integration Bus and

IBM InfoSphere®

Master Data

Management

Collaborative Edition

software, which feeds a

prebuilt, data schema

based on IBM DB2®

software

• Process integration with

automatic work-order

generation from

Maximo software

• Data models, message

flows, reports,

dashboards, business

rules, adapters and key

performance indicators

Telematics, manufacturing execution

systems, existing databases, distributed

control systems

High-volume

streaming data

Enterprise asset

management systems

Predictive

analytics

Decision

management

Business

intelligence

Analytic data store (Prebuilt data schema for storing quality, select machine and production data, and configuration)

Integration bus (Prebuilt data schema for storing quality, select machine and production data, and configuration)

End user reports,

dashboards, drill

downs


Converges Asset Management & Analytics Capabilities

Analytical insights

Asset lifecycle manage-

ment

Facilities operation

Staff planning

Supply chain

processes

• Better maintenance

windows to reduce

operating expense

• More efficient assignment

of labor resources

• Enhanced capital

forecasting plans

• Enhanced 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

Enterprise asset

management

Predictive Maintenance

and Quality Better outcomes = +


Maximo integration

Real-time capabilities

Big data, predictive and

advanced analytics

Accelerated

time to value

Quicker, more accurate

decision making

Open architecture

Business intelligence

PMQ Key Features Predictive and Business Intelligence Predictive Maintenance and Quality

Infrastructure activities

• Program and project

management

• Setup and installation

• Hardware

• Software

• Specialists

• Hosting

Analytical activities

• Solution impact

assessment

• Business case

development

• Use case definition

• Data integration

• Information modeling

• Predictive modeling

Specialized skills

• Integration skills

• Business consulting

• Industry skills

• Maintenance experts

• Maximo specialists

• Industry expertise

• Scientists and

mathematicians

Prof. services Vendor software Vendor research

Vendor systems and technology

Client value

PMQ is a Comprehensive Solution Predictive and Business Intelligence Predictive Maintenance and Quality

Business value assessment

Align business capabilities with

business strategy, and recommend a road map for improved

value.

Solution workshop

Lay out the path ahead, from immediate

improvements to a common future vision.

Proof of concept

Prove the path forward, starting small and

scaling up.

1

Visioning workshop

Whether via web seminar, at your facility or in an IBM solution center, we can begin

charting a course.

2

3

4

Let’s Get Started with Better Business Outcomes Predictive and Business Intelligence Predictive Maintenance and Quality

Resources, Upcoming Events, Q&A

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ibm predictive maintenance and uality...4 ibm, the essential cio: insights from the global chief...

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