sap intelligent asset management suite - t\|a\|c events€¦ · sap portfolio, i.e. sap digital...
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PUBLIC
Matthew Easlea - SAP
Chief Product Owner – Asset Management & Asset Networks
September 2018
SAP Intelligent Asset Management Suite
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Internal
Priority 3:
Share asset information
and collaborate
Activate the ecosystem of OEMs,
EPCs, service providers, and
operators; ensure there’s one version of
truth on asset information; and use a
business network to enable integrated
processes in the cloud.
Priority 2:
Predict and simulate
asset behavior
Avoid unplanned downtime
and major operational consequences,
as well as
discover patterns of failure and
preserve operational integrity.
Priority 1:
Leverage or establish
Connections to assets
Bring together information from
operational and business systems
(IT/OT convergence), as well as use
the IoT for scaling transparency without
neglecting existing information sources.
Asset Management Executives Need to
Prioritize New Business Models and Processes to Transform
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Internal
Dynamically predict failures to optimize maintenance backlogs
Asse
t C
on
ditio
n
TimeTotal Failure
Functional FailureAudible Noise
Ancillary Damage
Battery Impedance Test
Hot to Touch
Potential Failure = First Indication of Failure
Human
Driven
T
F
Equipment
Driven
Physics and Data Science driven
Oil Analysis
Machine Learning
P
P
P
P
Greater visibility to dynamically plan
maintenance events
Earlier maintenance to avoid failure
AND
Delaying maintenance to avoid cost
Engineering Models
Engineering Models + ML
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Internal
Intelligent Asset Management Suite
Maintenance ManagementSAP S/4HANA
SAP ERP
Ecosystem Collaboration
SAP Asset Intelligence Network
Maintenance Strategy Planning
SAP Asset Strategy & Performance Management
Prediction & Simulation
SAP Predictive Maintenance & Service
SAP Predictive Engineering Insights enabled by ANSYS
Unified Data Model
Asset Central is the reusable asset registry for seamless
integration and data consistency
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Internal
SAP Asset Central - Next-Generation Master Data Layer
Asset Classification
Asset Modelling
Asset Representation
Asset Information
Organization Representation
Ma
ste
r D
ata
La
ye
r
Classes Subclasses
Templates Models Attributes Indicators
Equipment Systems Locations Groups
InstructionsAlert Types /
RulesAnnouncements Spare Parts
Performance
ImprovementNotifications Documents
Work
Orders
Failure
Modes
Company
Profile
New Innovations
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Internal
The Physical Asset and the Digital Twin
PHYICAL ASSET DIGITAL TWIN
Full Digital Representation of Connected Assets along their Lifecycle delivering an embedded, collaborative and real-time set of
Next Generation Processes and Systems
The PHYSICAL
ASSET AS CENTRAL
OBJECT
Digital twins enables a collaborative end-
to-end digital transformation from design
to manufacturing through operations,
maintenance and service to end-of-life.
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SAP delivers a complete and agnostic Digital Twin
Business
SAP Asset Intelligence Network
Sensor & ML
SAP Predictive Maintenance
Structural
SAP Visual Enteprise &
Predictive Engineering Insights
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Plan & Design
Procurement &
Manufacturing
Installation & Commisioning
Operation & Service
Disposal
Digital Twin across the complete Asset Lifecycle
3D Models,
Drawings,
EBOM, P&ID,
As Designed
Spec Sheets,
Production
Quality Data,
MBOM, As
Build
Installation and
Testing Specs,
As Installed
Shut Down
procedures,
Dismantling &
Disposal
Instructions
Service, Safety
& Emergency
Procedures, As
Maintained
Installed Base
Asset
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Between a network of organizations
Operator
Manufacturer
Service
Provider
Regulator
SAP Asset Intelligence Network will provide a global registry of industrial equipment; built and shared between
multiple business partners and used across the industry by all stakeholders. This will enable new collaborative
business models resulting in true Operational Excellence.
Models /
Equipment
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LogiMAT 2018 showcase: GEBHARDT and SAP Automatic Onboarding
Edge
Gateway
SAP Asset
Intelligence Network
Partner: Pepperl & Fuchs
Wenglor
Hilscher
SAP IoT Services
SAP Asset Central
Cloud Platform
Identification
Data
Sensor
Data
IO
Link Master
SPS
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System View with continuous scanning
SAP Asset Central continuously scan the topology of the entire system network. New components are onboarded
automatically by the netIOT Edge Gateway. Possible changes are instantly recorded and incorrect components are
recognized and displayed.
Benefits:
• Map system topology digitally
and make it transparent
• Enable real-time system
monitoring
• Optimize maintenance and
increase availability
• Automatic recording of all
electronic machine and
structure components
• Recognize incorrect replaced
components
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Failure Mode specific Health Monitoring
Common
Data Model
Failure
Modes
Detection
Method
Machine Learning
Engine
Equipment
Class
Subclass
Pump
rust
flex
leakage
stuck
visual inspection
structural integrity
threshold-based
forecasting
anomaly based
PdMS Algorithms for
Anomaly Detection
PdMS Algorithms for
Failure Prediction
PEI Simulation
Algorithms
Customer-specific
R Algorithms
Model
Management
Scheduling
Data
Preprocessing
Extensibilityfailure prediction
Image classification
by Deep Learning
Bu
sin
ess D
ata
Ma
ch
ine
Da
ta
Common Business
Data & ProcessesPredictive Maintenance, Maintenance Planning, Monitoring
Health
Indicator
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SAP supports flexible approaches to Predictive Maintenance
SAP Predictive Maintenance and ServiceSAP Predictive Engineering Insights
“Enabled by ANSYS”
Sensor Data75 78 82 79 75 78 82 79
Engineering Simulation
Multi-physics Engineering Models
Sensor Data
Machine Learning
Prediction & Anomaly Detection Algorithms
Multi-Body
Dynamics
Partnership
Acquisition
(part of SAP)
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Delivered via a native mobile and offline client
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Asset CentralIncludes Master and transactional data, Equipment,
Work order, …
PdMS & PEI
AIN
DMC
ASPMAsset Intelligence
NetworkAsset Strategy and
Performance Management
Digital
Manufacturing
Cloud
Predictive Maintenance,
Engineering & Services
Consolidated User Experience and Data Model across multiple ERP system
Instance 1
SAP ERP 6.05
Instance 2
SAP ERP 6.07
Instance 3
SAP S4HC
Instance 4
Non SAP ERP
Next
generation
Fiori U for
master &
transactional
data
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Internal
SAP Analytics
Cloud
Datahub &
Vora
E2E Architecture for Digital Twin
S/4HANA OP
& S/4HANA
Cloud
Non SAP ERPECC 6 EhP6+
CFIHOS/
@eClass /
ISO 14224
ER
P
Sys
tem
sSystem 1
..
…
…
En
gin
ee
rin
g
Au
tho
rin
g S
yste
ms
EPC & Contractors
P&IDs, Construction
Drawings, Progress
reports
Approved
Equipment Lists
3D Envelope
3D Parts
Obsolesce Details
Installation guides
O & M Manuals
Specifications
Sensors
Data Lake
Streaming Rules
Data
Historian
Sensors
Bulk Rules
Asset CentralIncludes Master and transactional data, Equipment,
Work order, …
PdMS & PEI
AIN
DMC
ASPMAsset Intelligence
NetworkAsset Strategy and
Performance Management
Digital
Manufacturing
Cloud
SAP
Apps
Asset M
an
ag
er
Offlin
e &
Na
tive
Mo
bility
Visual Conversion
Services
Predictive Maintenance,
Engineering & Services
IoT ServicesSensor IntegrationOEM & Component
Manufacturers
..
…
…
OEM 1
PL
M &
Ma
nu
factu
rin
g S
yste
ms
Customer 1
..
…
…Pla
nt M
ain
ten
an
ce
End Customers
P&IDs, Construction
Drawings, Digital
Services
ETO
Plant Design
Big Data
Stack
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Internal
Modern information Accessible
in your
traditional ERP Screens
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Q3 / 2018 Q1 / 2019
ERP Backend
S4/HANA Cloud
Asset Intelligence
Network
Predictive Maintenance
& Service
Asset Strategy &
Performance Management
Integration Package
October
1808 Release
August
1808 Release
August
1808 Release
August
1808 Release
August
Integration
Package
1902 Release
February
1902 Release
February
1902 Release
February
1811 Release
February
OP FP7
October
Harmonized Releases of the Intelligent Asset Suite
Q4 / 2018
Integration Package
1811 Release
November
1811 Release
November
1811 Release
November
1811 Release
November
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Common next generation
equipment model across PdMS,
AIN, ASPM and ERP & S4/HANA
Full software as a service solution with quarterly
shipments
One solution combining PdMS,
AIN, ASPM and S4/HANA Plant
Maintenance
Key Points
1 2 3
Attribute
Groups
Attributes
Attribute
Groups
Attributes
Abstract Concrete
Class
Subclass
Predefined Content
Provided and kept up to date by SAP as application provider
Based on common best practices(e.g. ISO 14224, API 610, eCl@ss)
This is the class and characteristics template.
CLASS: PUMP
SUBCLASS: CENTRIFIGUAL
RATED POWER (BHP)
EFFICIENCY %
Model
Template
Model
TemplateModel
Model Family & Model Information
Provided by individual manufacturer or OEM
FAMILY: 384-PUMP ASSEMBLY,SEAWATER
MODEL: 384XL-PUMP ASSEMBLY, SEAWATER, EXTRA LARGE
Manufacturer: ACME Instruments
RATED POWER: 1500RPM-2500RPM
Attribute
Groups
Attributes
Equipment
TemplateEquipment
Equipment/Location/System Information
Provided by Owner/Operator or by the EPC(on behalf of the OEM)
EQUIP: PU815-JETTY PUMP ASSEMBLY
Site Data: Dusty Environment
Liquid: Pumping water
LOCATION: SITE DE – GROUND PUMPING STATION
Criticality: High
SYSTEM: CRUDE WATER SYSTEM
PUMP SYSTEM
PU815-JETTY PUMP ASSEMBLY
MOTOR SYSTEM
Attribute
Groups
Attributes
Location
TemplateLocation
Attribute
Groups
Attributes
System
TemplateSystem(s)
Next Generation Asset Model
Group(s)
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Internal
Technology is changing our approach to Maintenance
Today:
Use of
Maintenance
Strategy*
The Internet of Things is
leading to increased use of
predictive maintenance
Although still relevant,
preventative maintenance
typically results in over-maintaining
assets and high cost
The goal is to enable more IT driven
(data science & rules driven) approaches
to predictive maintenance in order to
reduce unplanned failures and the
number of overall maintenance actions
*Proportion of maintenance strategies are for illustration purposes only and will vary based on many factors
Future:
Use of
Maintenance
Strategy*
Run to Failure Preventative Predictive
TODAY FUTURE
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Internal
SAP Asset Central, SAP’s digital twin for physical
assets, is the reusable foundation layer across the
SAP portfolio, i.e. SAP Digital Manufacturing, SAP
Asset Intelligence Network, SAP Asset Strategy
and Performance Management, SAP Predictive
Engineering Insights, SAP Predictive Maintenance
and Service and others.
SAP Asset Central provides a common master
data layer, a set of out-of-the-box integrations to
SAP back-end business and Internet of Things
solutions and standard basic functionalities
enabling common next generation asset modeling
and management.
SAP Asset Central
SAP’s Digital Twin for Physical Assets
SAP Asset Central
SAP Asset
Intelligence
Network
SAP Asset
Strategy &
Performance
Management
SAP
Predictive
Engineering
Insights
SAP
Predictive
Maintenance
& Service
SAP Intelligent Asset Management
SA
P E
RP
SA
P S
/4H
AN
A
SA
P H
yb
ris
Clo
ud
fo
r
Cu
sto
mer
SA
P H
yb
ris
Co
mm
erc
e
SA
P C
lou
d
Pla
tfo
rm Io
T
…
Master Data Basic Functionalities
Integrations
SAP Solutions
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Internal
Digital Asset Management Components
State-of-the-art business processes
Leverage new technologies to enable new asset management
business processes with highly flexible UI’s
Real-time insights
End-to-end visibility on strategic, tactical and operational level
Connected assets
Bring together information from operational and business systems
using IoT for scalable transparency
The power of prediction and simulation
Drive smarter decisions, improve reliability, and reduce outages
Collaboration throughout the asset lifecycle
Share asset information, access one version of the truth,
and collaborate on a cloud-based business network with
integrated processes
Maintenance
Execution
Maintenance
Planning and
Scheduling
SAP S/4HANA
Asset Strategy
and Performance
Asset Prediction
and Optimization
Asset Network
and Collaboration
Industry 4.0
ASSET MANAGEMENT
COMPONENTS
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Internal
Maintenance Planning and Scheduling
Plan maintenance activities with the right person
providing the appropriate tools and resources
Schedule proactive preventive or condition-based
maintenance tasks
Leverage integrated documentation for job execution
and safety for a holistic view of asset status
Maintenance
Execution
Maintenance
Planning and
Scheduling
SAP S/4HANA
Asset Strategy
and Performance
Asset Prediction
and Optimization
Asset Network
and Collaboration
Industry 4.0
ASSET MANAGEMENT
COMPONENTS
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Internal
Maintenance Execution
Execute planned and unplanned maintenance
tasks to help ensure optimal operations
Manage preventive and condition-based
maintenance proactively
Increase equipment reliability and improve asset
usage as well as safer maintenance processes
Manage asset information for work orders,
maintenance, measurements, inspections,
metering, and inventory using mobile devices
Maintenance
ExecutionMaintenance
Planning and
Scheduling
SAP S/4HANA
Asset Strategy
and Performance
Asset Prediction
and Optimization
Asset Network
and Collaboration
Industry 4.0
ASSET MANAGEMENT
COMPONENTS
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Internal
Asset Strategy and Performance
Boost asset performance using methods to
manage risk, maintenance costs, downtime,
and energy consumption
Optimize return on assets across lifecycles
by monitoring, reviewing, and improving
maintenance activities
Reduce bottlenecks, improve decision making,
and prevent incidents using a holistic view of
asset types and maintenance strategies
Maintenance
Execution
Maintenance
Planning and
Scheduling
SAP S/4HANA
Asset Strategy
and PerformanceAsset Prediction
and Optimization
Asset Network
and Collaboration
Industry 4.0
ASSET MANAGEMENT
COMPONENTS
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Internal
Asset Prediction and Optimization
Optimize the availability of your assets by using
predictive maintenance and service capabilities and the
Internet of Things to take corrective actions early
Collect and analyze sensor data from physical assets
to predict operational failure
Initiate preventive countermeasures that trigger
service or maintenance orders
Optimize asset performance with a closed-loop
maintenance and service process
Create physics-based digital twins of industrial assets
based on a real-time and predictive engineering
analysis
Maintenance
Execution
Maintenance
Planning and
Scheduling
SAP S/4HANA
Asset Strategy
and Performance
Asset Prediction
and Optimization
Asset Network
and Collaboration
Industry 4.0
ASSET MANAGEMENT
COMPONENTS
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Internal
Asset Network and Collaboration
Collaborate with manufacturers, operators, service
suppliers, across the network on asset information
Enable secure asset information collaboration
across your business network
Provide one network channel for electronic handover
of technical asset and maintenance data to OEMs,
service providers, and procurement vendors
Improve data reliability, reduce master data
maintenance, and maintain higher asset availability
Maintenance
Execution
Maintenance
Planning and
Scheduling
SAP S/4HANA
Asset Strategy
and Performance
Asset Prediction
and Optimization
Asset Network
and Collaboration
Industry 4.0
ASSET MANAGEMENT
COMPONENTS
40INTERNAL© 2017 SAP SE or an SAP affiliate company. All rights reserved. ǀ
End to end value across the lifecycle of the Digital Twin
Automatic
Onboarding &
Topology Detection
Asset Health & Key
Indicators
2D Sensor Chart
and Alert List
Error Codes and
Knowledge Base
Failure Mode based
Predictions
3D Repair
Instructions
Work Orders & PM
Notifications
Service Ticket
Spare Part Ordering
Questionnaire &
ChecklistImprovement
Request
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Unified Fiori Launch Pad
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42
Unified Next Generation Equipment Page
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Internal
Collaborative Equipment List with Phase
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Internal
Detailed Failure Mode modelling
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Internal
ASPM: Questionnaire for Equipment
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Internal
PdMS: Sensor Data for Rules & Alerts
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Internal
Key Components of the SAP Intelligent Asset Management Suite
Continuously assess and optimize overall asset performance with risk, criticality & outcome driven maintenance and replacement strategies
Integrated work execution with optimized resource planning
Optimize maintenance events with IoT-based (big data, ML) asset health monitoring and prescriptive recommendations
Live-managed asset master and transactional data with ongoing collaboration between manufacturers, service providers & operators
En
ab
led
by
Asset
Cen
tral
Gain deep asset insights with real-time engineering based analysis from IoT-enabled simulation models
Co
ns
um
ed
via
Mo
bile
Asset M
an
ag
er
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Internal54842enUS (18/01) ǀ This content is approved by the customer and may not be altered under any circumstances.
Transforming Business Models with
SAP® Asset Intelligence Network
Erich NETZSCH GmbH &
Co. Holding KG
Selb, Germany
www.netzsch.com
Industry
Industrial machinery and
components
Products and Services
Pumps and systems
Employees
>3,000
Revenue
€475 million (2016)
SAP® Solutions
SAP® Asset Intelligence
Network and SAP Digital
Business Services
organization
“This new network helps our customers and partners, as well as our
company, to be more efficient and reduce the risks of operating equipment.”
Michael Sigl, Team Lead, IT Infrastructure and Communications, Erich NETZSCH GmbH & Co. Holding KG
Since its inception in 1873, family-owned German company NETZSCH has continuously innovated to
become a global market leader in manufacturing, selling, and implementing machinery. With customers
all over the world and a growing product portfolio, the company needed to standardize its asset portal
and undergo a digital transformation. SAP Asset Intelligence Network enabled NETZSCH to provide a
global database and better serve the needs of its customers.
Before: Challenges and Opportunities
• Set up a global collaborative product database
• Provide transparency into pump and component details
• Increase collaboration across functions and with customers
• Build new Internet of Things (IoT) business models to better serve customers and technicians
• Optimize the product portfolio
Why SAP
• Experience as the trusted, go-to advisor for all decision levels
• Ability to co-innovate and closely collaborate with the SAP development team to meet expectations for
managing the IoT, remote applications, and other services
• Expertise to leverage the most innovative IoT platform technology and tightly integrate it into the existing
enterprise resource planning back end
After: Value-Driven Results
• Co-innovated with SAP Digital Business Services to create and implement SAP Asset Intelligence Network
Increased visibility into asset and component details thanks to the digital twin technology
Provided new services to customers
Increased customer satisfaction
DigitalizedPhysical assets and documentation
GlobalizedDigital twin as the virtual reproduction of
assets and components
StandardizedAsset portal
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Understand the Roadmap
SAP Asset Intelligence Network
SAP Asset Strategy and Performance
Management
SAP Predictive Maintenance and
Service, cloud edition
SAP Predictive Maintenance and
Service, on-premise edition
Deep dive on the Technical
AIN Jump page
SAP Asset Intelligence Network Help
SAP Asset Strategy and Performance
Management Help
SAP Predictive Maintenance and
Service, cloud edition help
Start with the Intelligent Asset
Management Website
Here
Find More Information
1 2 3
Thank you.Contact information:
Matthew Easlea - [email protected]
Chief Product Owner – Asset Network and Asset Management
Walldorf, Germany