Forge Next Generation Asset Management for the Steel Industry · 2019. 10. 10. · asset...
Transcript of Forge Next Generation Asset Management for the Steel Industry · 2019. 10. 10. · asset...
PUBLIC
Carlos Lemos, Solution Manager, Asset Management, SAP
September 26, 2019, Budapest, Hungary
Forge Next Generation Asset Management for the Steel Industry
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SAP’s framework for the Intelligent Enterprise
People
Engagement
Intelligent Suite
The set of applications that provide the business capabilities that mill products and
mining companies need to run their business. End-to-end business processes span
multiple applications, so processes and data must be integrated for automation,
seamless user experience, fast adoption, and ease of operations.
Intelligent Suite
Customer
Experience
Manufacturing
& Supply Chain
Digital
Core
Network & Spend
Management
Intelligent Technologies
Machine Learning | IoT | Analytics |
Big Data | Blockchain | Data Intelligence
Intelligent Technologies
Several innovative technologies have matured to practical use. These include:
▪ IoT to make business applications interact with the physical world
▪ Big Data to make large data sets accessible for advanced analytics and intelligence
▪ Machine learning and artificial intelligence to automate repetitive processes and
learn from human exception handling and decision making
▪ Advanced analytics to find data patterns to support decisions and predict the future
▪ Blockchain to distribute collaborative processes across the entire value network
▪ Data intelligence to find new value in data assets for new business models
Digital Platform
The digital platform is powered by SAP HANA and extends the intelligent end-to-end
processes and connects to data sources. It consists of:
▪ SAP Cloud Platform, which allows customers and partners to extend their intelligent
suite to run additional business processes
▪ Data management to handle and organize data, a key asset of the intelligent enterprise
Digital Platform
Data
ManagementCloud
Platform
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Digital Supply ChainConnect Digitally to Perfect Reality for a Common E2E Business Process
Spare Parts
Maintenance History Failure Modes
Specifications &
Drawings
Condition Insights (IoT)Service Bulletins
Recommendations
Model
Obsolescence Reporting
Inspection and
Calibration Results
Suppliers
Suppliers
Suppliers
Suppliers
Customers
CustomersCustomers
Suppliers Suppliers
Customers
Customers
Suppliers
Customers
Customers
Customers
Customers
Customers
Suppliers
Product IntelligenceAsset Intelligence
Collaborative R&D
Engineering & Design
Build and Manufacturing
ManufacturerOperator
Collaborative Asset Information
Prediction & Simulation
Performance
Products &
Assets
Engineering & ConstructionService Providers
Cloud
Computing
Reduce ROI while providing
scalability and collaborative platform
among asset stakeholders
Artificial intelligence
and machine learning
Bring unprecedented knowledge
automation across the asset
management
Big data and
analytics
Enable processing big volume of
real-time asset data for smarter
analytics
The Internet of Things
(IoT)
Provides asset sensor-enabled
condition monitoring for real time
insights
Real-time
engineering simulation
Use physics-based digital twins for
predictive engineering analysis in
product development and operations
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SAP Enterprise Asset Management Portfolio – Business Capabilities
Real-time insights
Bring together information from operational and business
systems using IoT for scalable transparency
Asset Reliability and Optimization
Drive smarter decisions, improve reliability, and optimize
maintenance strategies
Asset Prediction and simulation
Gather real time operation insights to simulate and predict
asset maintenance using IoT and machine learning
Collaboration throughout the asset lifecycle
Share asset information, access one version of the truth,
and collaborate on a cloud-based business network
Maintenance Planning and Execution
Plan, schedule and execute maintenance activities by
using mobile technologies anywhere and anytime
Maintenance and
Service Management
Asset Strategy and
Performance
Asset
Network
and
Collaboration
Asset
Health
Prediction
and
Optimization
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“Siloed” Asset Lifecycle
Specification
s & Drawings
Failure
Modes
Functions
System
Equipment
Location
Maintenance
History
Failure Mode
Effect Analysis
Sensor Data
& Predictive
Insights
Equipment
Model
Spare
Parts
Recommendation
s & Updates
OEM
Product Catalog
Asset Operator
Asset Register
Supply new equipment
Service Provider
Workshop Catalog
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From ‘siloed’ asset information …
• No common asset taxonomy
• No business partner collaboration
• Siloed asset data
• Inefficient asset data maintenance
• Poor asset data integrity
Design Manufacture/Build Operate & Maintain Retire & DecommissionCommission
Maintenance
History
Obsolescence
AssessmentSpecifications
& drawings
Manufacturer
Spare Parts
Equipment
Model
Predictive
Insights
Location
Recommendations
& updates
Failure Modes
Instructions
ManufacturerSuppliers
Service Provider Operator
ManufacturerSuppliers
Service Provider Operator
Service Provider Operator
Asset L
ifecycle
System
Equipment Failure Mode
Effect Analysis
Specifications &
Drawings
Failure Modes
Service
Bulletins
System
Equipment
Location
Maintenance
History
Failure Mode
Effect Analysis
Sensor Data &
Predictive
Insights
Obsolescence
AnalysisEquipment
Model
Manufacturer
Spare Parts
Recommendations
& Updates
Asset Operator
(Owner)
Manufacturers
(OEM)
Engineering &
Construction
Service
Provider
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…to a collaborative asset information
Equipment
Model
Manufacturer
Spare Parts
Recommendations
& Updates
Specifications &
Drawings
Failure Modes
Service
Bulletins
Maintenance
History
Obsolescence
Analysis
Failure Mode
Effect Analysis
Sensor Data &
Predictive
Insights
Design Manufacture/Build Operate & Maintain Retire & DecommissionCommissioning • Assess key players in your
ecosystem and select your
preferred alliances
• Find all the asset information in one
place
• Share best practices for optimal
equipment availability
• Provide opportunity to new
business model to monetize
content and services
System
Equipment
Location
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Asset Intelligence through CollaborationCollaborate in a Single Version of Truth
From…
Siloed asset information
Multiple version of truth
Limited benchmarking capabilities
Reactive maintenance
Selling equipment
To…
Collaborative Single source of truth
Single version of truth
Advanced benchmarking capabilities
Prescriptive maintenance
Pay per use / equipment-as-a-service
Asset
Operator
Manufacturers &
Suppliers
Engineering &
Construction
Service
Provider
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The art of the possible
ConsumePublish
PublishConsume
Design & Drawings
Maintenance StrategyFailure Modes
Recalls
Safety ControlsProcess Controls
Spare Parts ListService Bulletins
Licensing
Product TrainingSensor Definition
IndicatorsAttribute Values
Service Bulletin Receipt
Service Bulletin ProcessedUsage Information
Installation Information
Failure/Incident DataDesign Recommendations
Risks & ControlsSensor Data
Maintenance History
Design & Drawings
Maintenance StrategyFailure Modes
Recalls
Safety ControlsProcess Controls
Spare Parts ListService Bulletins
Licensing
Product TrainingSensor Definition
IndicatorsAttribute Values
Service Bulletin Receipt
Service Bulletin ProcessedUsage Information
Installation Information
Failure/Incident DataDesign Recommendations
Risks & ControlsSensor Data
Mo
de
l In
form
ati
on
Eq
uip
men
t D
ata
Mo
de
l In
form
ati
on
Eq
uip
men
t D
ata
SAP Asset Intelligence Network provides a Digital platform for collaboration on equipment data. The
network of digital twins enables secure data access, sharing and governance on a global scale
Asset
Operator
Manufacturers &
Suppliers
Engineering &
Construction Service
Provider
Digital Service and Content Packages
Sell /Buy
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Collaborate in a common taxonomy
A comprehensive asset taxonomy is a critical element for asset data integrity, fundamental in the
documentation of maintenance events and a tool for bad actors analysis
Asset Operator
(Owner)
Manufacturers
(OEM)
Engineering &
Construction
Service
Provider
Global Standard Classification– provided and maintained by SAP. Based on industry standards e.g. ISO 14224, IEC 60076, BS EN 15380 , eCl@ss
Model Template & Model Information
Equipment, System and Location Information
Class: Rotating EquipmentSubclass: Pump
Attributes: Rated Power (kW)
Normal rotational speed (rpm)
Model Template: Regular Pump
Model: 200 Series
Manufacturer: ACME Transformer Inc.
Colour: Grey
Equipment: Pump 554
Site Data: Dusty Environment
Year Installed: 2010
Name Plate:
Class
Subclass
Model Template
Model
Manufa
ctu
rer
Supplie
r
Opera
tor
S
erv
ice P
rovid
er
Is an instance of
Is a specialization of
Is classified as
Equipment Template
Is a specialization of Equipment
Location/ System Template
Location/SystemIs a specialization of
Is part of
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Value Package Management*
– New application to manage content and value packages and
assign them to the company and sub-class hierarchy
– Manufacturers can use this application to define value packages
that can be sold to business partners
– Integration with SAP App Center to link the value packages
Advertise and Share Value Packages*
– Equipment highlight card to advertise relevant value packages to
asset consumers. Also available using a catalog via SAP App
Center
– Integration with SAP App Center for billing and subscription
management for value packages
– Upon purchase, the content elements are automatically shared
with the buyer business partner
* This capability is only available on Cloud Foundry Data Centers
The Network leverages new business models and new revenue streams by allowing the business
partners to buy and sell additional content and digital services via SAP AIN
Content Provider Asset Operator
SAP Asset Intelligence Network
Content Packages & Digital Services
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Next Generation Equipment Page
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Detailed Equipment Attributes
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Detailed Instructions
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Dynamic Content Package Offering*Dynamic Content Package Offering*
* This capability is only available with Cloud Foundry
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PdMS Sensor Data for Rules & Alerts
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▪ Improve asset data quality and
transparency across business units
▪ Shorten issue response times and
enrich decision making
▪ Reduce master data maintenance
effort
▪ Improve asset reliability, safety and
employee productivity
▪ Balancing OPEX with CAPEX
Asset
Operator
▪ Build knowledge of installed base by
gain operations insights
▪ Increase customer lifetime value
from design, selling and service
▪ Improve operators satisfaction
▪ Generate new revenue sources by
selling value-added services and
content
▪ Selling equipment-as-a-service,
such as “asset operation by the
hour” models
Manufacturer, Suppliers
Engineering & Construction
Service
Provider
▪ Work on reliable data source
▪ Collect service data centrally
▪ Create transparency for operator and
manufacturer on asset maintenance
Network of Digital Twins Business ValueEstablish one channel to many business partners
Closer collaboration of OEMs, engineering procurement contractors (EPCs),
service providers, and operators
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200 production plants connected to each
other by over 2,850 kilometres of pipelines &
over 230 kilometres of rail.
Goal is to establish a fully integrated and
centrally managed, single source asset
information repository, ensures
• Data consistency and availability
• Efficiency of its engineering and
maintenance processes throughout the
asset lifecycle.
SAP Asset Intelligence NetworkUse Case at BASF Ludwigshafen
“A more integrated digital approach with our business partners would allow us to easily access the latest and
current information when and where needed, leading to quicker and better decision making and in
consequence higher asset effectiveness.”
Dr. Andreas Wernsdörfer, Senior Vice President, Technical Site Services Ludwigshafen, BASF. Link
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SAP Intelligent Asset Management
… or online at :
www.sap.com/EAM
www.sap.com/products/asset-intelligence-network.html
Have a look to our SAP AIN playground in the exhibition area …
Thank you.
Contact information:
Carlos Lemos
Solution Manager
Asset Management
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