15th INTERNATIONAL OPERATIONS & MAINTENANCE CONFERENCE IN THE ARAB

COUNTRIESUNDER THE THEME: “SMART MAINTENANCE” CONICIDE WITH THE 15TH ARAB MAINTENANCE

EXHIBITION

Raj SinghDirector – IOT & Digital Supply Chain CoE EAM & Operational Excellence

IOT & Predictive Maintenance

Take the Next Steps

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connecting People, Things and BusinessesIntelligently

Integration Mobile

Collaboration

Big Data

Business Process

Innovation

Connected Data

Design Thinking

Microservices

APIs

Real-time

Analytics

Natural

Language

IoT NetworksMachine

Learning

Experiences

3PUBLIC© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ

‘Better outcomes’ – the CEO / CFO view of Digital Transformation / IoT

Optimized

productivity

Improved

turnaroundsLess waste

Lower cost Increased uptimeNew products &

services

New revenue Faster deliveriesUsage-based

pricing

Greater capacity Better efficiencyNew business

models

Today´s Asset Management Challenges

Additional Regulatory obligations

Paper-based technical

documentation

Asset Information

in Silos

Poor Asset Performance

visibility

Low First visit fix rate

Where are maintenance and service heading?

Organizations Are Maturing Their Maintenance Strategies

Companies are moving from a reactive to a proactive approach to maintenance.

An opportunity is available for organizations to leverage machine data for better business insights.

Reactive

Preventive

Condition-based

Predictive

Technology Is Changing Our Approach To Maintenance

Run to Failure Preventive On-Condition Predictive

*Use of Maintenance Strategy – Today

The Internet of Things is leading to increased use of on-condition and predictive maintenance strategies

Although still relevant, preventivemaintenance typically results in over-maintaining assets and high cost

The goal is to increase our use of advanced maintenance strategies and reduce reactive maintenance events

Run to Failure Preventive On-Condition Predictive

*Use of Maintenance Strategy – Future

*Proportion of maintenance strategies are for illustration purposes only and will vary based on many factors

Optimization of Maintenance Intervals Results in Huge SavingsMany intervals have huge buffers that could be reduced and the intervals enlarged

t

unplanned downtime

Threshold to start next maintenance interval

Health Status

good

bad

standard maintenance

optimized maintenance

less maintenance

Standard SituationFailure SituationOptimal Situation

WHEELS & BRAKES

Energy Dissipation versus Mileage

Replacements driven by more logical utilization

rates

Installed battery

=

Healthy battery

Data science based health indicators

BATTERYBEARINGS

Vibration Analysis versusOil Analysis Program

Advanced condition monitoring techniques

The Internet of Things Benefits the Entire Maintenance Program

Reactive Preventive On-Condition Predictive

On-Condition Real-time or near real-time condition monitoring

PreventiveDrive scheduled maintenance based on the right utilization metric

Predictive – Leverage data science based health indicators

The Internet of Things improves existing strategiesand enables new data science driven maintenanceapproaches

Advances In On-condition And Predictive Maintenance Strategies

Ass

et

Co

nd

itio

n

TimeTotal Failure

Functional FailureMechanically Loose

Ancillary Damage

Oil Analysis Program

Audible Noise

Hot to Touch

Potential Failure

Time to respond

T

F

P

Potential Failure

Device Connectivity& Predictive Analytics

More time to respond enables greater flexibility to dynamically plan maintenance events

Ass

et

Co

nd

itio

n

TimeTotal Failure

Functional FailureMechanically Loose

Ancillary Damage

Oil Analysis Program

Audible Noise

Hot to Touch

T

F

P

Time to respond

Advances In On-condition And Predictive Maintenance Strategies

© 2017 SAP SE or an SAP affiliate company. All rights reserved. 11

SAP Leonardo IoT Innovation Portfolio

SAP Cloud Platform

SAP Leonardo IoT Foundation

SAP Leonardo IoT Bridge

SAP Leonardo

IoT Edge

Computing

Connected

ProductConnected

AssetsConnected

FleetConnected

Infrastructure

Connected

MarketsConnected

People

Product Insights

Goods and Equipment

Supply Networks

Fixed Assets Insights

Manufacturing Execution

Manufacturing Networks

Mobile Asset Insights

Logistics Safety

Logistics Networks

Building Insights

Construction

Energy Grids

Market Insights

Rural Areas

Urban Areas

People and Work

People and Health

People and Homes

Partner

Applications

13

Next Steps with IOT and Predictive Maintenance

Think bigger picture• Business as usual?• If we keep doing things in the same way we will get the same results• New requirements, better ways of doing things• It is a journey… make sure you have a roadmap

Embrace the new digital reality• Enterprise asset management is getting more sophisticated• Mobile, Planning, AIN, IOT, Connected Assets, Predictive Maintenance

Take a Step in the Journey• Visit your plant and team• Implementation workshop and move forward• Implement logical modules together for better gains

Other companies are already doing it and gains are huge!

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Thank you - Let’s Take the Next Steps Together!

Raj SinghDirector – IOT & Digital Supply Chain CoE EAM & Operational Excellence

raj.singh01@sap.com+971 56 141 9764