industrial data space
TRANSCRIPT
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Prof. Dr. Boris OttoFraunhofer IML/ISSTTU Dortmund UniversityBirmingham · April 14th, 2016
THE INDUSTRIAL DATA SPACE
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AGENDA
Towards a »Smart Service Welt«
»Industrie 4.0« and Smart Manufacturing
The Industrial Data Space
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Innovative business models combine digital services and lot size 1 production
Product and Production Strategy at adidas
In-Store ProductionSmart Service »Runtastic«
Source: Handelsblatt, August 6, 2015, No. 149; http://www.adidas-group.com/de/medien/newsarchiv/pressemitteilungen/2015/adidas-gruppe-erwirbt-runtastic; image source: adidas Group (2016).
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Successful value propositions are becoming increasingly hybrid
Product-Service Bundling at adidas
Image sources: otto.de (2015), techglam.com (2015), soccerreviews.com (2015), appfullapk.co (2015).
Time
»Hybridity« Physical Product
(Running Shoe)
»Traditional Service«
(Work-Out Monitor)
Digital Service
(Runtastic)
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Industrial machinery manufacturers are offering app stores on top of their tangible products
Hybrid Products at TRUMPF
Image sources: ihs-gmbh.de (2016); silicon.de (2016).
Digital Value-Added ServiceTool Machine as a Tangible Product
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Digital value propositions follow a platform logic
Digital Business Architecture
Sources: Working Group Smart Service Welt (2015).
Principles of the Platform Economy»Smart Service Welt« Architecture
Services can be separated from physical
platforms
Architectural layers are de-coupled
Products turn to platforms - and vice-versa
Ecosystems form around platforms
Innovation happens in co-opetition modes
SMART PRODUCTS
SMART SPACES
SMART DATA
SMART SERVICES
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Agricultural machinery manufacturers are driving comprehensive digital farming solutions
Digital Business Ecosystems
Image sources: wiwo (2015), traction-magazin.de (2014). Source: Beecham Research Ltd. (2014).
Players in the Food & Farming EcosystemDigital Farming
Digital Farming
Ecosystem
Machine Providers
Crop Science
Companies
Farmers
Wholesale
Technology Providers
Influencers
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Smart services are a response to changing customer demands
Smart Service Welt
End-to-End Customer Process
Individualization
Ubiquitous Service Availability
Information Transparency
Source: Working Group Smart Service Welt (2015).
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AGENDA
Towards a »Smart Service Welt«
»Industrie 4.0« and Smart Manufacturing
The Industrial Data Space
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Industrie 4.0 is a response to these changing requirements
Evolution of Production Systems
Source: Koren (2010), cited in Bauernhansl (2014). Image sources: https://en.wikipedia.org (2015), https://www.impulse.de (2015), audi.de (2015), o2.co.uk (2015), computerbild.de (2015).
Production Volume per
variant
No. of Variants
1850
1913
19551980
2000
Ford Model T
VW Beetle
ProductionAudi Configurator
Mass
Production
Individualization
»Sharing Economy«
Complexity
Globalization
iPhone
3D Printed Car
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In the Industrie 4.0 global material and information flows are closely aligned at all times
Banana Supply Chain Enabled by Maersk and Ericsson
Solution Components
Monitoring of climate conditions in oversea containers
GSM and satellite communication
Business Benefits
Improved ripeness level of bananas in stores
Improved port operations
Improved fuel consumption and carbon footprint balances
»Banana Supply Chain«
Source: Maersk, Ericsson (2014); image source: jnfoxandsonsltd.co.uk (2016). Legend: GSM – Global System for Mobile Communications.
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In the Industrie 4.0, production systems are getting autonomous
Solution Components
No fixed assembly line
Close integration of pre and serial production
Autonomous AGVs – no fixed transport systems
Business Benefits
Increased flexibility and agility
Coping with complexity through self-controlled processes
R8 Production at Audi
Source: Audi (2016); image source: blog.audi.de (2016). Legend: AGV – Automated Guided Vehicle.
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In the Industrie 4.0 devices in the warehouse are getting smart flexibility
Solution Components
Autonomous navigationin the shelf
No lift needed
Flexible use of multiple vehicles
Business Benefits
Functional and cost advantages compared to state-of-the-art
Increased flexibility of storage systems
Reduced fixed costs
No bottleneck through lift, thus reduced storage cycle times
RackRacer Developed at Fraunhofer IML
Source: Fraunhofer IML (2014); image source: Fraunhofer IML (2014).
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Industrie 4.0 is not an end in itself, but a response to changing market requirements
Industrie 4.0 at Audi
Individualization of customer demands ↑
Number of models, variants, features ↑
Product life-cycles ↓
Globalization of processes ↑
Process and product complexity ↑
Cost targets ↗
Decision needs (strategic, tactical, operational) ↑
»Autonomization« of manufacturing ↑
Real-time information availability ↑
Interoperability of production systems ↑
Market and Customer Demands
Manufacturing and Logistics
Implications and Needs for Action
Industrie 4.0
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AGENDA
Towards a »Smart Service Welt«
»Industrie 4.0« and Smart Manufacturing
The Industrial Data Space
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Smart Data Management is a key capability for Industrie 4.0
Smart Manufacturing and Smart Services
PublicData
Data from the Value Chain
Commercial
Services
Industrial
Services
Individualization
End-to-EndCustomer Process
Ecosystem
Ubiquity
Smart DataManagement
Interoperability
Human-Machine-Collaboration
AutonomousSystems
Internet of Things
Customer
Production
Networks
Logistics
Networks
Smart ServicesDataSmart Manufacturing
Information flow Material flowLegend:
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Key requirements determine the Industrial Data Space
A Network of Trusted Data
Sovereignty
Data and ServicesTrustworthiness
Certified Members
Decentralization
Federated Architecture
Openness
Governance
Common Rules of the Game
Scalability
Network EffectsEcosystem
Platform and Services
Security
Data Exchange
Neutral and User-Driven
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Company A
Internal IDS
Connector
Upload / Download / Search
Internet
Industrial Data SpaceBroker
Clearing
RegistryIndexAppsVocabulary
Industrial Data SpaceApp Store
External IDS
Connector
Upload
Download
Upload / Download
Company B
Internal IDS
Connector
External IDSConnector
Third Party
Cloud Provider
The component architecture follows decentralized design principles
The Industrial Data Space
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The Industrial Data Space materializes via a set of apps
Functional Frame of Reference
Industrial Data Space App Store
Basic Data Services Provisioning
Data Service Management and Use
Vocabulary Management Software Curation
Data Provenance ReportingData TransformationData CurationData Anonymization
Data Service PublicationData Service SearchData Service RequestData Service Subscription
Vocabulary CreationCollaborative Vocabulary
MaintenanceVocabulary/Schema MatchingKnowledge Database
Management
Software Quality and Security Testing
Industrial Data Space Broker Data Source Management Data Source Search Data Exchange Agreement Data Exchange Monitoring
Data Source PublicationData Source MaintenanceVersion Controlling
Key Word SearchTaxonomy SearchMulti-criteria Search
»One Click« AgreementData Source Subscription
Transaction AccountingData Exchange ClearingData Usage Reporting
Industrial Data Space Connector
Data Exchange Execution Data Preprocessing Software Injection Remote Software Execution
Data Request from Certified EndpointUsage Information Maintenance
(Expiration etc.)Data Mapping (from Source to Target
Schema)Secure Data Transmission between
Trusted Endpoints
Preprocessing Software Deployment and Execution at Trusted Endpoint
Data Compliance Monitoring (Usage Restrictions etc.)
Remote AttestationEndpoint Authentication
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The development is framed within an overall Industrie 4.0 architectural model
Industrial Data Space Architecture
Automotive Electronics Services Logistics Manufacturing Life Sciences
Smart Service Domains
Smart Services and Products
»Smart Data Services« (Alerting, Monitoring, Data Quality etc.)
»Basic Data Services« (Data Fusion, Mapping, Aggregation etc.)
Internet of Things ∙ Broadband Infrastructure ∙ 5G
Real-time Scenarios ∙ Sensors and Actuators ∙ Devices
Arc
hit
ect
ure
La
yers
INDUSTRIAL DATA SPACE
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Multiple use scenarios are emerging on top of the Industrial Data Space
Vertical Data Space Ecosystems
Image sources: Johns Hopkins University (2016), Umweltbundesamt (2016), Smellgard, Schneider & Farkas (2016), ITS International (2016).
Material Sciences Energy Life SciencesHigh Performance
Supply ChainsTraffic
Management
Exchange of material and product data across the entire
lifecycle from research and
development to decommissioning
Shared use of condition data from
operations for predictive
maintenance of wind energy plants
Shared, federated data platform for development and
testing of pharmaceutical
products
Exchange of quality data for transport
items along the entire supply chain
Use of traffic management data
for innovative services in the car
and to better control traffic
INDUSTRIAL DATA SPACE
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Kick-started by German user companies, the initiative is aiming at an international footprint
Industrial Data Space Association
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Industrial Data Space Video
http://www.fraunhofer.de/de/forschung/fraunhofer-initiativen/industrial-data-space.html
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Prof. Dr. Boris Otto
Fraunhofer IML & ISSTTU Dortmund University
https://de.linkedin.com/pub/boris-otto/1/1b5/570
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http://www.researchgate.net/profile/Boris_Otto
http://de.slideshare.net/borisotto
Thank you very much for your attention!
Your Speaker
© Fraunhofer
Prof. Dr. Boris OttoFraunhofer IML/ISSTTU Dortmund UniversityBirmingham · April 14th, 2016
THE INDUSTRIAL DATA SPACE