Industry 4.0 – Digitizing the Enterprise Asset ManagementEnd-to-End Integrated Processes
Carlos Portillo
EMEA Center of Excellence - Extended Supply Chain
LoB Connected Manufacturing and Operational Excellence
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 2
SAP's Vision for Enterprise Asset Management
Provide best-in-class user
experience seamlessly on all
devices.
Help ensure accuracy of
master data and allow for
sharing master data
alongside the value chain
and manage Big Data.
Establish a business network
for OEMs, service providers,
operators, and other
contributors.
Make operational data
available for comprehensive
analytics and insight-to-
action, leveraging the IoT.
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 3
Selected End-to-End Processes for Enterprise Asset ManagementExtended Supply Chain Detailed Value Map
Recipe Development
Sourcing
Handover toManufacturing
Design
Orchestration
Authoring ToolIntegration
Product Costing
EngineeringCollaboration
ProductDevelopment
LoB R&D/Eng
Responsive
Manufacturing
ProductionScheduling
Enterprise Performance Management
Lean Manufacturing
ProductionWarehouse
Discrete Manufacturing Orchestration and Execution
Quality Management and Compliance
Production Planning
LoB Mfg
Project and
Portfolio
Management
PortfolioManagement
Project Connectivity
ProjectManagement
Resource Management
Idea Management
LoB R&D/Eng
Asset
Network
Asset Operations
and Maintenance
Environment,
Health,
and Safety
Asset Planning and Scheduling
Maintenance Execution
Mobile AssetManagement
Asset Strategy and Performance
Health and Safety Management
Maintenance Safety and Permit to Work
EnvironmentManagement
Managementof Change
Incident Management
Asset Information Governance
Predictive Maintenanceand Service
Asset InformationCollaboration
LoB Asset Management
Product Safety
and Stewardship
Corporate
Sustainability
Product and Chemical Comp-liance for Process Industries
Global Label Management
Safety Data Sheet Management
Dangerous Goods Management
Product Compliance for Discrete Industries
Sustainability Reporting andPerformance Management
Product and SupplierSustainabilityAssessment
Ridesharing
Energy Transparencyand Performance Management
LoB Sustainability
LoB R&D/Eng
Real Estate
Management
Portfolio and Lease Management
Energyand Safety
Space Management
Maintenance and Repair
Investment andConstruction
LoB Finance
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 4
Increase
effectiveness
Increase
efficiency
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
Condition MonitoringRemote Service
Fault Pattern
Recognition
Machine Health
Prediction
Create Maintenance
or Service OrderSchedule Order
Execute Order
on mobile deviceVisual Support
IT / OT
Convergence
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 5
Assets in the Field (External Scenarios) Assets in Shop Floor / Operations (Industrial Scenarios)
PCo
MII3D VE
PdMS3D VE
ERP
LAM
EHS
WCM
MRS / Click
Work Manager3D VE
IoT Client • Machine / Asset Integration• Device / Asset Integration
• Real time Asset Performance KPIs
• Condition-Based Maintenance
• Automatic Actions upon events
• Virtualization
• Measuring Point linked from PM
• Energy Monitoring
• Preventive Planning
• Maintenance Notification
• Maintenance Order Creation
• Measuring Point linked with MII
• Predictive Maintenance
• Asset Health Monitoring
• Machine Learning
• Vibration Analysis
• Virtualization
• Relevant Risks
• Safety Measures
• Work Clearance
• Control Inspections
• Management of Change
• Incidents Management
• Resource Allocation / Scheduling
• WO Scheduling
• Maintenance Order Execution
• Visual work instructions
• Augmented Reality
AINAsset
Manufacturer
Service
Provider
• Central hub for linking equipment in a
collaboration ecosystem
Assets
Maintained in PM
3D VE
End-to-End SAP EAM Architecture Overview
MoC
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 6
SAP 3D Visual EnterpriseVirtualization and 3D Guided Work Instructions
R & DVisualization
ManufacturingInstructions
Sales & MarketingCatalogs
ServiceMaintenance
FacilitiesMgmt.
• Improved internal &
supplier collaboration
• Fewer ECNs due to
concurrent processes
24% Faster supplier
response
• Faster training
• Reduced rework
• Faster cycle time
• Flexible workforce
• Reduced warranty cost
45% Reduced rework
• Improved
customer satisfaction
• Higher after market
sales
• Reduced part returns
• Improved plant uptime
• Predictive analytics
• Faster response time
• Fewer accidents
79% Lower accident
frequency
• Improved repair
time
• Lower training
costs
• Consistent global
service standards
70% Fewer part returns
55% Improved asset
utilization
25% Reduced call center
demand
10% Faster time to market
50% Faster training
75% Faster work instruction
creation & maintenance
10% Fewer engineering
changes
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 7
SAP 3D Visual EnterpriseVisual Maintenance Procedures
Using visualization:
• Provides visual maintenance review capabilities
• Improves maintenance efficiency, reduces line and equipment downtime
• Reduces risk of non-compliance and injury due to human error
• Speeds new hire training
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 8
SAP 3D Visual EnterpriseVisual Maintenance Procedures
The plant as the interface:
• Increase operator efficiency to find equipment records, create work orders, etc
• Reduce operator error, contain risk and improve compliance
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 9
SAP offerings for SAP Predictive Maintenance and Service
HANA Cloud Platform HANA On-Premise
SAP Predictive Maintenance and Service,
Cloud Edition
SAP Predictive Maintenance and Service,
Technical Foundation (RCS)
SAP Custom DevelopmentExtensions *
Cloud Edition On-Premise Edition
HANA On-premise
SAP Predictive Maintenance and Service,
On-premise Edition
Extensions *
- On-premise edition was released as a
standard solution, March 15, 2016.
- Market Launch at Hanover Fair
* Extensions from SAP CD,
Partners and Customers
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 10
Solution Capabilities Remote device and message management
Condition monitoring and analysis of sensor data
Visualization of machine KPIs and drill-downs
Geo map visualization of warnings and alerts
Integration with Machine learning tools
Vibration Analysis for rotating equipments
Integration with business systems (e.g. ticketing)
Scalable SaaS offering
Hana Cloud Platform for extensions (e.g. customerportals)
PdMS cloud editionRemote Condition Monitoring
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 11
Geo-
Spatial
Insight
Provider
Asset
Explorer
Insight
Provider
Key
Figure
Insight
Provider
3D
Visualizat
ion
Insight
Provider
Predictive Maintenance and Service
Data Management Data Processing
Work
Activities
Insight
Provider
Derived
Signal
Insight
Provider
SAP HANA SAP IQ SAP Data Services* SAP ESP*
*Optional components
Asset Health Control Center (AHCC)
Extendable
by additional
Custom
Insight
Provider &
Custom Data
Services
Predictive Maintenance and Service On-Premise Edition
Connected
Assets
Devices,
machines,
sensors
Integration
possible with
Telit
DeviceWise,
SAP PCo
Process
Automation
Closed-loop
business
process
integration
into PM and
MRS
IT
Integration
Remaining
Useful Life
Prediction
Distance-
Based
Failure
Analysis
Anomaly Detection with Principal Component Analysis
Data Science ServicesInsight Provider
OT (Device)
Integration
IoT
Ap
pli
cati
on
s
Op
era
tio
nali
zed
An
aly
tics a
nd
Data
Scie
nce
Serv
ices
IoT
Base
Serv
ices
Big
Data
Pla
tfo
rm
Asset Health Fact Sheet (AHFS)
Components
Insight
Provider
PdMS on-premise editionDriving Scale - Business Applications Built on Modular Analytics
Data Fusion
Storage Data ingestion
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 12
PdMS on-premise editionOut-of-the-box Data Science Defined – Applicable Use Cases
Anomaly Detection
• Apply Principal Component Analysis to
sensor data to identify the ‘outliers’,
those items or events which do not
conform to the expected pattern
• Automatic detection of multivariate
anomalies, which could lead to failures
in components
Distance-Based
Failure Analysis
• Store ideal state “snapshot” of
component, compare against regular
capture of current state snapshot
• Comparison analysis can result in early
malfunctions in order to reduce
downtime
Remaining Useful
Life Prediction
• Conduct Weibull Life Time Analysis
on captured repair data to estimate
component lifetime
• Calculate remaining useful life and
probability of failure for each
machine/component and store
scores in time series storage
P Q
PCA
© 2016 SAP SE or an SAP affiliate company. All rights reserved. Page 14
SAP Work ManagerExecution of Maintenance Orders in any Mobile Device
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 15Internal
Applications
Pump OEM
Valve OEM
Service
Provider
Chemicals
Mill
Consumer
ProductsContent Integration Network
OEMs & Service Providers Operators
Shared Model Database
Global Equipment Registry
Business PartnerNetwork Services
An Asset Network to bring together Business Partners
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 16Internal
Shared Model Database
Global Equipment Registry
An Asset Network to change Business Processes
Business PartnerNetwork Services
Service Bulletins, Recalls & WarrantyManage
Equipment as a Service
Usage based Design Enhancements
Quality, Inspection & Calibration
Results Sharing
MRO VisualSpare Parts content
Global Job Catalogue, Visual Work Instructions
& Task Lists
Visual audit and name plate recognition
Analyse Equipment performance
Business Context for Predictive Maintenance
Collaborative work execution & results sharing
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 17Customer
Asset Intelligence Network high-level architecture
Manufacturer apps Asset lifecycleTicketing/
notifications
Joint work
schedulingBenchmarking Parts verification Knowledge base
Predictive remote
maintenance
Man
ufa
ctu
rer
sid
e
Nameplate info
Service bulletins & revs
Maint./inspection strategy
Structure/parts
Recalls
Op & maint. instructions
Failure modes
Safety controls
Process controls
Designs & drawings
Measuring point
Product training
Licensing
Design improvements
Installation parameters
de
fin
eco
ntr
ol
op
era
teim
pro
ve
CollaborationNetwork learning on assets
SecureAnonymized information for
industry-wide comparisons
ContentConsume any information from any
party using a standardized taxonomy
OpenAny manufacturers and customers
1
2
3
4
Publish Subscribe
Measurement/telemetry
Usage information
Installation information
Failure/incident data
Service bulletin processing
Risks and controls
Design recommendations
Recall processing
M2M / IOT initiative
Maintenance history
de
fine
co
ntro
lo
pe
rate
imp
rove
Reviews
Op
era
tor s
ide
© 2015 SAP SE or an SAP affiliate company. All rights reserved. 18Customer
SAP Multiresource SchedulingArchitecture Overview – Integration makes a Difference
HR Resources
Business Partner
Availability, Qualifications
Demand
Supply Assignments
SAP ERP
PM/CS
Work/Service Order,
Notification
SAP ERP PS
Project System
SAP PPM
cProjects
SAP Applications
SA
P M
RS
GIS Geographical
Information system
Equipment
Tools
Spare Parts
Optimizer
SAP VSR Vehicle
Scheduling & Routing
SAP CRM
Service Order
SAP HCM, MM
Qualifications
DE
MA
ND
SU
PP
LY
SAP Mobile Platform
SAP Work Manager and
Service Manager by Syclo
SAP BW, SAP
BusinessObjects, SAP
Predictive Analysis
ANALYTICS
MOBILITY
Work Centers
Groups
Crews
© 2016 SAP SE or an SAP affiliate company. All rights reserved. 21Internal
Augmented Reality with SAP AR Service Technician
Companion Application to SAP Work Manager
Link to the SAP Work Manager mobile app through a simple
QR-code scan
Visual Enterprise 3D model visualization and animation
SAP 3D Visual Enterprise steps browsing
Equipment notes
Remote expert calling
Hands-free application
All the application steps can be completed without gestures
or touch events
Required inputs are managed through voice recognition
© 2016 SAP SE or an SAP affiliate company. All rights reserved.
Thank you
Contact information:
Carlos PortilloEMEA Center of ExcellenceLoB Manufacturing & Operational [email protected]+31 615 3489 07
Top Related