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PUBLIC
March 22, 2017
Christian Baust,
Product Manager Service Industries
SAP Predictive Maintenance and Service
SAP Predictive Maintenance and Service
2INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Benefits Across the Maintenance Program
SAP Predictive Maintenance and Service
Overview
Asset Visualization
• Insight Provider Catalog
• Asset Health Control Center
• Asset Health Fact Sheet
Machine Learning Engine
Customers
Roadmap
Agenda
Benefits Across the Maintenance Program
SAP Predictive Maintenance and Service
Overview
Asset Visualization
• Insight Provider Catalog
• Asset Health Control Center
• Asset Health Fact Sheet
Machine Learning Engine
Customers
Roadmap
4INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Technology is changing our approach to maintenance
Reactive
40%Preventive
30%On-Condition
20%Predictive
10%
Use of Maintenance Strategy – Today
The Internet of Things is leading to
increased use of on-condition and
predictive maintenance strategies
Although still relevant, reactive
and preventive maintenance
strategies do little to guard against
unplanned equipment downtime
and result in high cost
The goal is to
increase our use of
more advanced
maintenance strategies
Reactive
10%Preventive
20%On-Condition
30%
Predictive
40%
Use of Maintenance Strategy – Future
5INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
The correlation between asset age and reliability is low
Source: Reliability-centered Maintenance, Second Edition, John Moubray
D
E
F
– Scheduled overhaul or replacement interval
A
B
C
Components exhibited
age-related failure patterns.
A preventive strategy is the
right approach.
Components exhibited
random failure patterns.
An on-condition or predictive
maintenance strategy is required.
7%
14%
68%
4%
2%
5%
11%
89%
6INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Advances in on-condition and predictive maintenance strategies
Asset
Con
ditio
n
TimeTotal Failure
Functional FailureMechanically Loose
Ancillary Damage
Oil Analysis Program
Audible Noise
Hot to Touch
Potential Failure
Time to respond
T
F
P
7INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Advances in on-condition and predictive maintenance strategies
Potential Failure
Device Connectivity& Predictive Analytics
More time to respond enables
greater flexibility to dynamically plan
maintenance events
Asset
Con
ditio
n
TimeTotal Failure
Functional FailureMechanically Loose
Ancillary Damage
Oil Analysis Program
Audible Noise
Hot to Touch
T
F
P
Time to respond
Benefits Across the Maintenance Program
SAP Predictive Maintenance and Service
Overview
Asset Visualization
• Insight Provider Catalog
• Asset Health Control Center
• Asset Health Fact Sheet
Machine Learning Engine
Customers
Roadmap
12INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Service
Service Provider
Sales
Increase
customer
satisfaction
and loyalty
Dealer
Deliver the
value added
service at the
right price
Fleet
Owner/Operator
Decrease
maintenance
costs
Operator
Increase
asset up-time
R&D
Improve
asset
reliability
and up-time
Monitor
quality of
purchased
components
Improve
manufacturing
processes
Comply
with contract
service level
agreements
AftermarketProcurement Production
OEM
SAP Predictive Maintenance and ServiceDecision support across the ecosystem & asset lifecycle
DESIGN
BUILDSUPPORT
PURCHASE
OPERATE &
MAINTAINDISPOSE
Decision support to ALERT, DISCOVER AND REMEDY
Business DataMachine Data
Combining IT & OT data gives machine data context
14INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceSolution components and value drivers
Business DataMachine Data
SAP Leonardo Foundation
SAP Leonardo for Edge Computing
Business User
Domain Expert
Data Scientist
Data ManagerSAP Leonardo Foundation
SAP Leonardo for Edge Computing
Machine Learning Engine
Insight Provider Catalog
SAP Predictive Maintenance and Service
Asset Health
Control Center
Asset Health
Fact Sheet
Logistics & Maintenance
Execution SystemsActions
Insights
Alerts
Raw
Data
Available via cloud or on-premise
Flexible extension concept for
customers to build industry or
customer specific models and
analytics
A scalable Machine Learning
Engine that drives data science
insights into our business
processes
Flexible visualizations across
equipment structures
End-to-end process integration…
Alert, Discover, Remedy
15INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceSystem and component level visualizations
Machine Learning Engine
Insight Provider Catalog
SAP Predictive Maintenance and Service
Asset Health Control Center
Asset Health Fact Sheet
Asset Health
Control Center
Asset Health
Fact Sheet
SAP Leonardo Foundation
SAP Leonardo for Edge Computing
SAP Leonardo Foundation
SAP Leonardo for Edge Computing
Logistics & Maintenance
Execution Systems
Business DataMachine Data
16INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceInsight Provider Catalog
17INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Control Center
Asset View
New Orleans Refinery
Houston Refinery
Asset View
Asset Health Control Center
18INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Control Center
Asset View
New Orleans Refinery
Houston Refinery
Asset View
Asset Hierarchy
Asset Hierarchy
Asset Health Control Center
19INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Control Center
Asset View
New Orleans Refinery
Houston Refinery
Asset View
Asset Hierarchy
Asset Hierarchy
Insight Provider Catalog
Insight Provider Catalog
Asset Health Control Center
20INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Control Center
Asset View Asset Hierarchy
Asset Health Control Center
Insight Provider Catalog
Insight Provider Catalog
21INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Control Center
Asset View Asset Hierarchy
Asset Health Control Center
Insight Providers
Insight Provider Catalog
Insight Provider Catalog
Insight Providers
22INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Control Center
Asset View Asset Hierarchy
Asset Health Control Center
Insight Providers
Insight Provider Catalog
Insight Provider Catalog
Insight Providers
Remaining
Useful Life
2
5
12
18
22
32
Remaining
Useful Life
2
10
5
8
13
16
23INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Control Center
Asset View Asset Hierarchy
Asset Health Control Center
Insight Providers
Insight Provider Catalog
Insight Provider Catalog
Insight Providers
24INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Control Center
Asset View Asset Hierarchy
Asset Health Control Center
Insight Providers
Insight Provider Catalog
Insight Provider Catalog
Insight Providers
25INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Fact Sheet
Equipment View
Equipment View
Asset Health Control Center
Asset Health
Control Center
Asset Health Fact Sheet
Serial #12345
Remain
ing
Useful
Life 2
5
1
2
1
8
2
2
3
2
26INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Fact Sheet
Equipment View
Equipment View
Asset Heath Control Center
Asset Health
Control Center
Asset Health Fact Sheet
Serial #12345
Remain
ing
Useful
Life 2
5
1
2
1
8
2
2
3
2
Insight Provider Catalog
Insight Provider Catalog
27INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Fact Sheet
Equipment View Asset Health
Control Center
Asset Health Fact Sheet
Insight Provider Catalog
Insight Provider Catalog
28INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Fact Sheet
Equipment View Asset Health
Control Center
Asset Health Fact Sheet
Insight Provider Catalog
Insight Provider Catalog Insight
Providers
Insight Providers
29INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Fact Sheet
Equipment View Asset Health
Control Center
Asset Health Fact Sheet
Insight Provider Catalog
Insight Provider Catalog Insight
Providers
Insight Providers
30INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Fact Sheet
Equipment View Asset Health
Control Center
Asset Health Fact Sheet
Insight Provider Catalog
Insight Provider Catalog Insight
Providers
Insight Providers
31INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceAsset Health Fact Sheet
Equipment View Asset Health
Control Center
Asset Health Fact Sheet
Insight Provider Catalog
Insight Provider Catalog Insight
Providers
Insight Providers
Benefits Across the Maintenance Program
SAP Predictive Maintenance and Service
Overview
Asset Visualization
• Insight Provider Catalog
• Asset Health Control Center
• Asset Health Fact Sheet
Machine Learning Engine
Customers
Roadmap
33INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceMachine learning challenges
High dimensional data
No labeled failure data
Rare failure events
Outdated models, human scale
Use case specific algorithms
Feature construction/selection requires data
scientists & domain user collaboration
Model management, continuous learning and scoring
Anomaly detection and reinforcement
through user feedback
Failure prediction using ensemble learning
Extensibility and integration of new algorithms
SOLUTION
34INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceMachine Learning Engine
Business DataMachine Data
Machine Learning Engine
Insight Provider Catalog
SAP Predictive Maintenance and Service
Asset Health Control Center
Asset Health Fact Sheet
Logistics & Maintenance
Execution Systems
SAP Leonardo Foundation
SAP Leonardo for Edge Computing
Failure Prediction
Learning the correlations among features
which lead to known failures
Anomaly Detection
Learning the “normal state” so we can watch
for unanticipated failures
New Algorithms
Reinforcement*
*PdMS roadmap Item
Continuous
improvement/learning
35INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceMachine Learning Engine
**PdMS Roadmap Item
Failure Prediction
Learning the correlations among features
which lead to known failures
Anomaly Detection
Learning the “normal state” so we can watch
for unanticipated failures
New Algorithms
Reinforcement*
• Supervised learning enables failure
predictions like Remaining Useful Life
• Finds contributing factors to failure
events
• Expert feedback
• Models change as operational
environment changes
• Unsupervised learning detects
anomalies
• Enables health scores
• Extensibility for out-of-the-box
algorithms
• Possibilities to deploy new R based
algorithmsContinuous
improvement/learning
36INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceMachine Learning Engine - Model management
• Machine learning models are automatically applied to new incoming data
• Models are regularly re-trained using scheduling capabilities
• Model management capabilities allows us to maintain model versions
Configure model Score model
Deactivate
Train model
Retrain model
Model
ConfigurationModel Version Scores
Benefits Across the Maintenance Program
SAP Predictive Maintenance and Service
Overview
Asset Visualization
• Insight Provider Catalog
• Asset Health Control Center
• Asset Health Fact Sheet
Machine Learning Engine
Customers
Roadmap
38INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Predictive Maintenance and ServiceThe synthesis of over 20 customer projects over 4 years
39INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Customer exampleCompressor manufacturer
• Provider of compressed air systems and
compressed air consulting services
• Changed their business model from selling
compressors to selling compressed air…
“Sigma Air Utility”
• Moved customers from CAPEX to OPEX
• Compressors equipped with sensors
• SAP Predictive Maintenance & Service On-Premise Edition
• SAP HANA
• SAP CRM Service
Company
Solution
Benefits
• IoT as an enabler for the new business model
• Improved availability of compressor stations
• Move from unplanned to planned maintenance
Process Innovation
IT / OT
Connectivity
Condition MonitoringRemote Service
Fault Pattern
Recognition
Machine Health
Prediction
Create Service
OrderSchedule Order
Execute Order
on mobile deviceVisual Support
40INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Customer exampleIndustrial equipment manufacturer
• Leading manufacturer of separators and
decanters for industrial usage
• New service offering which monitors equipment
during the operation to ensure service contract
compliance
• SAP HANA Cloud Platform
• SAP Predictive Maintenance & Service Cloud Edition
• SAP CRM Service
Company
Solution
Benefits
• Service execution based on real-time machine data
• Increased machine uptime
• Improved service contract compliance
• Higher service productivity and customer satisfaction
Process Innovation
Spare Parts &
Tools
Remote
Service
Engineer
Real-time
Monitoring
41INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
2019 – Product vision2018 – Product direction
SAP Predictive Maintenance and ServiceProduct roadmap – On-Premise Edition
PdMS, On-premise Edition Monitor asset health
Asset explorer, Geo-Spatial
visualization, 2D & 3D visualization,
Key Figures, Work activity
management, Derived signals
management, Anomaly Detection,
Distance-Based Failure Analysis,
Remaining Useful Life Prediction
Integration into SAP business
processes via PM, S4/HANA Plant
Maintenance and Multi-Resource
Scheduling
Advanced extensibility environment for
customized and additional functionality,
like new Insight Providers and Data
Science algorithms
Support for various connectivity
scenarios, e.g. via PCo / MII, Telit, SAP
HANA IoT Connector by OSIsoft
Big Data Support for OT data with IT/OT
integration
PdMS, On-premise Edition Thing modeling tool to define assets and
their component structure
Self-service derived signal management
with graphical tool support
Machine Learning Engine supporting
reinforcement and ensemble learning
Integration with data visualization tools and
algorithm editors
Bad Actor Management based on health
status and asset criticality
Decision support through configurable
Asset Health Factsheet with Health
Score explanations and risk matrix
Further Integrations into SAP's Digital
Core with S4/HANA, C4C, PM, AIN, APSM
Industry-specific add-ons for Utilities and Oil
& Gas
Emerging Issues Detection
Root cause analysis (Operator / OEM) /
Warranty Claim Analysis (OEM)
History Support
PdMS, On-premise Edition Dynamic maintenance scheduling using
constraint based optimization
Fingerprint Similarity Analysis for Assets
Library of ready-to-use machine learning
content per asset type
Automatic data pre-processing for
machine learning
Improved anomaly detection using Deep
Learning techniques
Support for Edge computing
Prescriptive maintenance
Emerging Issues Detection
Evidence Package Management
Diagnostic Trouble Code Analytics
Failure / Asset Configuration Correlation
Association Rule Mining
Collaboration on Exploration
PdMS, On-premise Edition Coverage of complete asset lifecycle
Asset Investment Optimization and
Simulation
Ubiquitous computing – decentralized thick
clients on sensor devices to autonomously
monitor, analyze, predict conditions and
trigger actions – orchestrated by users from
any place, by any device at any time.
Emerging Issues Detection
Additional analytical and data science
insight providers for warranty claim and root
cause analysis
Deeper integration with SAP ERP,
S4HANA, CRM and C4C
Release: PdMS 1.0
This is the current state of planning and may be changed by SAP at any time.
2017 – Planned innovationsRecent innovations
42INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
This is the current state of planning and may be changed by SAP at any time.
Planned Q2/2017
Delivery: PdMS FP06
Predictive Maintenance and
Service, cloud edition• Monitor asset condition
• Asset explorer, Geo-Spatial visualization,
2D visualization, Key Figures, Work
activities, Vibration analysis, Model and
configure devices, Device onboarding,
Email notifications, Rules framework
• Integration into SAP business processes
via SAP HANA Cloud Platform,
integration service, such as PM or C4C
• Big Data Support for OT data with IT/OT
integration
Predictive Maintenance and
Service, cloud editionNo feature delivery
Predictive Maintenance and
Service, cloud edition
• Bad Actor Management for all monitored
assets with drill down to component level
• Decision support through configurable
Asset Health Factsheet with Health
Score explanations
• Machine Learning Engine supporting
reinforcement and ensemble learning
• Additional out-of-the-box machine
learning algorithms for anomaly detection
• Extensibility of Machine Learning Engine
through custom algorithms
• Flexible customization through
configuration variants
Predictive Maintenance and
Service, cloud edition
• Self-service derived signal management
including KPIs, alerts and machine-
learning health scores
• Configuration of scheduled derived
signal computation per component
• Advanced extensibility environment for
customized and additional functionality,
like new Insight Providers
• Risk Matrix and asset criticality via
integration with Asset Performance and
Strategy Management
Emerging Issue Detection
• Management of Explorations
• History support
Planned Q3/2017Planned Q1/2017Recent innovations
SAP Predictive Maintenance and ServiceProduct roadmap – Cloud Edition
Thank you.
Contact information:
Christopher MacLuckie
Solution Manager
IoT and Digital Supply Chain
SAP Predictive Maintenance and Service
+1 (610)203-3414
44INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
Operational Data Ingestion with SAPIntegration with SAP MII and PCo
MII = Manufacturing Intelligence and Integration
PCo = Plant Connectivity
SAP MII
SAP PCo
Data
Historians
Safety Control
Plant Databases
DCS PLC/SCADA
Devices
Advance Control
Manual Data
Real
Time
SAP Predictive
Maintenance and Service
SAP Data
Services
Offline files
Batch
On-demand,
Near
Realtime
e.g. OPC
45INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP HANA IoT Connector by OSIsoftEnable real time IT/OT convergence
SAP HANA
IoT Connector
by OSIsoft
OSIsoft
PI System
Real
Time
SAP Predictive
Maintenance and Service
Safety Control
Plant Databases
DCS PLC/SCADA
Devices
Advance Control
Manual Data
On-Demand
Scheduled, near
Real-Time
46INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
SAP Device Management for IoT by TelitFlexible device integration
Device Integration Management Platform Predictive Maintenance
and Service
Enterprise
GatewayAsset Gateway
MQTT/TR50 API
Modules
Hosted Gateway
LPWA Clouds
• Device Management
• Security
• Administration
• Data-at-Rest
• Data-in-Transit
• Flexible Data Model
• Multi Tenant
• Triggers
• Email/SMS Alerts
‘Hosted’
Asset
Gateway
(optional)SAP Predictive
Maintenance
and Service