SAP Predictive Maintenance and Service
Adrian Langlouis, Solution Management
November 10, 2014
Next Steps
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Dynamics Solution Overview Value and References
Managing assets efficiently makes a difference!
While the world's GDP is around
$46.6 trillion, the value of all
assets is assumed to be much
higher. Maintenance spend
alone comes up to $447 billion.
Source: Global Framework on Maintenance and Asset Management
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Dynamics Solution Overview Value and References
The world is getting more and more connected
devices connected
by 2020*
50 billion
40-50%
CAGR for M2M market
until 2020*
price of sensors,
microprocessors & wireless
technologies today vs. 4
years ago**
-80%
*Source: Gartner – “Top 10 Tech Trends **Source: Economist Intelligence Unit – ”The Rise of the Machines”
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Dynamics Solution Overview Value and References Next Steps
SAP Predictive Maintenance and Service Leverage operational insights to drive innovative new business models
Analyze and monitor equipment
data and correlate with
business information to predict
future malfunctions
Remotely sense operational
data from equipments
Monitor
Analyze
Predict
Act
Sense
Optimize maintenance and
service operations and enable
new business models around
the equipment
-44% Lower unplanned
downtime -17% Lower annual service and maintenance costs +28% Higher return on assets
Typical results*
Organizations adopting preventive and predictive maintenance and service approach as compared to organizations
practicing reactive maintenance and service
* SAP performance benchmarking
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Dynamics Solution Overview Value and References Next Steps
Gain completely new insights from your equipments Monitor sensor data to analyze and predict asset malfunctions
Telemetry Data
Sensor measurements
Geospatial data
Diagnostics
Events
Business Data
Warranty information
Maintenance/ Service history
Customer profile
Dealer events
Cost and risk
Third party data … Structured and unstructured
e.g. weather forecast
Benchmarking
Prioritize maintenance
and service activities
Early warnings to
prevent downtimes
Design
improvements
Machine health
monitoring
Optimized warranty
and spare parts mgmt
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Dynamics Solution Overview Value and References Next Steps
Increase
effectiveness
Increase
efficiency
IT / OT
Connectivity
Time, effort or cost
is well used for the
intended task or
purpose
Effectiveness is the
capability of producing
a desired result
Bring business context to your operational data One example
Predictive Maintenance and Service
Condition Monitoring
Remote Service
Fault Pattern
Recognition
Machine Health
Prediction
Create
Maintenance
or Service Order
Schedule Order Execute Order
on mobile device Visual Support
SAP ERP
Non-SAP Apps
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Dynamics Solution Overview Value and References Next Steps
Condition Monitor Look and Feel
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Dynamics Solution Overview Value and References Next Steps
Analytics and Dashboards Look and Feel
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Dynamics Solution Overview Value and References Next Steps
Machine Predictions Look and Feel
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Dynamics Solution Overview Value and References
Predictive Maintenance and Service Delivers significant business value to asset manufacturers and operators
Improve service profitability with lower
service costs and new revenue streams
Higher percentage of calls resolved
Higher first-visit-fix rate
Customer satisfaction and retention
Higher service contract renewal rates
Enable new innovative business models
Higher overall equipment effectiveness
(asset availability & performance & quality)
Improve maintenance efficiency
Lower maintenance costs
Faster reaction to alarms and failures
Higher mean time between failure
Lower mean time to repair
Asset
Manufacturer
Asset
Operator
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Dynamics Solution Overview Value and References
Past Co-Innovation projects, POCs and implementations Examples
Industry: Country: Scope:
Automotive Germany Product improvement in R&D based on vehicle test data.
Automotive Germany,
US
Vehicle health prediction to improve manufacturing quality, service planning and customer
satisfaction based on business and telemetry data. Very big data: Hana / Hadoop
Farm Equipment US Early identification of emerging issues for product improvement and failure prediction to
reduce downtime based on business and telemetry data.
Farm Equipment
Germany Identification and prioritization of machine failure pattern for product improvement based on
business and machine data.
Industrial Air
Compressors
Germany Machine health prediction to lower service costs and increase machine up-time. Enable
service, sales and R&D to transform the company to an industrial service provider.
Food Processing
Equipment
Germany Identification of health finger print based on vibration analysis. Integration of and monitoring
of machine health using failure pattern for product improvement based on business and
machine data.
Airplanes US Systems trending and alert management framework which allows customer support to
propose alternative maintenance schedules which may avoid unplanned downtime, increase
aircraft availability and increase service and maintenance revenues.
Automotive Germany Manufacturing Quality Assurance by automatic failure identification and anticipation based
on machine data.
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Dynamics Solution Overview Value and References
Why SAP?
SAP Predictive Maintenance and Service
Seamless integration with IT systems to make
business sense of your machine data
Big data analytics and monitoring with SAP HANA
in-memory computing
Fast time to value and low TCO by utilizing a big
data IT architecture in the cloud
Ensure strong security standards by relying your
data to SAP’s decades of expertise with IT
security
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Next Steps Executive Summary Solution Overview Value and References
© 2014 SAP SE or an SAP affiliate company. All rights reserved.
SAP Predictive Maintenance and Service Start Now
Start small to achieve extended business value.
New business models require the adoption of existing
remote maintenance and service practices
The Internet of Things revolution demands new ways
of developing, manufacturing and servicing assets to
stay competitive Smarter
Faster
Simpler
Next Steps
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Dynamics Solution Overview Value and References Next Steps Executive Summary Solution Overview Value and References
© 2014 SAP SE or an SAP affiliate company. All rights reserved.
SAP Predictive Maintenance and Service Where to Find More Information
Video: https://www.youtube.com/watch?v=YbOqmd3oKf0&feature=youtu.be
SAP.com: www.sap.com/internetofthings
SCN: http://scn.sap.com/community/internet-of-things