industrial data space association - new members, new insights, new future directions
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INDUSTRIAL DATA SPACEA NEW IDEA FOR SHARING DATA BETWEEN COMPANIES WHILE PROVIDING FULL DATA
SOVEREIGNTY
Interoperability
Data Exchange
»Sharing Economy«
Data CentricServices
Data Ownership
Data Security
Data Value
WE HAVE A NEW IDEAFOR DEALING WITH DATA
is the ability of a natural orlegal person to exclusivelyand sovereignly decideconcerning the usage of dataas an economic asset.
DIGITAL SOVEREIGNTY
// 3www.industrialdataspace.org
Foto © greatist.com
Digitalisation is both an enabler and a driving force behind innovative business models.
A key ability for innovative business models is to be able to combine data in one “ecosystem”:
• Services are decoupled from physical platforms/products
• The architecture levels are decoupled
• Products become platforms and vice versa
• “Ecosystems“ develop around platforms
• Innovation takes place cooperatively
Data as strategic resource enables smart services, products and our desired lifestyle of the future.
A SNEAKER IS NO LONGER A SNEAKERPHYSICAL PRODUCTS GROW TO DIGITAL SERVICES
www.industrialdataspace.org // 4
THE INDUSTRIAL DATA SPACEAS CONNECTION BETWEEN PLATFORMS AND THINGS
PLANNING, EXECUTION, CONTROL(MULTI-SIDED PLATFORMS)
Traffic Weather
OPEN CONTEXT DATA
Actors Sensors Machines
IoT Clouds
Domain specific platforms
Marketplaces
BrokerConsumerProduction
FIELD VIEW(FACTORY)
VALUE CHAIN
It‘s all about sharing data!
INDUSTRIAL DATA SPACETHE INITIATIVE AND ITS OBJECTIVES
50 +Companies, Alliances, Institutions are members
of the association
Governance and referencearchitecture for an
international standardon data interoperability
Start 2014
Target
/ High Level Talks initiated by Fraunhofer/ Support from German Government/ Research Project Industrial Data Space
Jan. 2016
www.industrialdataspace.org // 6
50+Companies andOrganisations
5Working Groups
16Use
Cases
1Ecosystem
=
First workinggroup meetings
MEMBERSHIP DEVELOPMENTAND MILESTONES
Foundation with 18 Members
Connector realised in firstsprint
Go Live first usecase with
thyssenkrupp
Release of the referencearchitecture document
2016 2017
52 membersend of 2016
58 memberstoday
First international
member
More than 150 members at the end
of 2017
Hannovermesse
Start of the DIN standardisation process Foundation of
first international hub
First publicassembly on CeBIT – MoUwith OPC-Foundation –releasewhitepaper
Strategic Goals for 2017
∕ More (international) members∕ Strategic alliances∕ First products
INDUSTRIAL DATA SPACE –THIS IS OUR MISSION:
MISSION STATEMENT
The INDUSTRIAL DATASPACE ASSOCIATION defines the basic conditions and governance for a reference architecture and interfaces with the objective of setting up an international standard.
INTERNATIONAL STANDARDS
This standard isactively developedand updated onthe basis of usecases.
USE CASES
INDUSTRIAL DATA SPACEstands for secure data exchange between companies in which the data provider is always the owner of that data and still keeps control over the use of their data.
SECURE DATA EXCHANGE
It forms the basis for a variety of certifiable software solutions, smart services and business models, the development of which is encouraged by the association.
BUSINESS MODELS
1
2
4 3
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A TRUSTED PEER TO PEER NETWORKFOR ALL INDUSTRIES TO SHARE DATA
Software components enable all stakeholders (defined roles) to participate in IDS
The quantity of all (external) IDS connectors defines the Industrial Data Space
Internal IDS connectors are used to link data sources in the company, to transform and to improve them.
© Fraunhofer
www.industrialdataspace.org // 10
INDUSTRIAL DATA SPACEP2P NETWORK OF TRUSTED DATA
Security
Data
exchange
TrustCertified
Participants
DecentralApproachdistributed architecture
Sovereigntyover data
and services
Data Governance“rules of the game”
Economies of scale
Networking effects
Open Approach
Neutral and user-driven Network
of platformsand services
• All actors oblige
themselves to play by the
rules of Industrial Data
Space
• Actors and technical
components are to be
certified
• We provide usage control
for data and different
tailor-made levels of trust
www.industrialdataspace.org // 11
ARCHITECTURE FOR DATA AND DATA SERVICESAN INFRASTRUCTURE FOR ALL INDUSTRIES AND DOMAINS
AutomotiveElectronics
and IT Logistics Retail and Food Health… (other
Industries)
Smart-Service-Scenarios
Service and product innovations
»Smart Data Services« (alerting, monitoring, data quality etc.)
»Basic Data Services« (information fusion, mapping, aggregation etc.)
Internet of Things ∙ broad band infrastructure ∙ 5G
Real Time Area ∙ sensors, actuators, devices
Arc
hitectu
rele
vel
INDUSTRIAL DATA SPACE
www.industrialdataspace.org // 12
OUR USE CASES MAKE IT REALINDUSTRIAL DATA SPACE IN ACTION
Each member of the associationrealizes a business driven usecase
• The use cases demonstrate the innovations based on Industrial Data Space
• Potential core of an ecosystem by integrating further partners (also from different domains)
Use-Case Company Industry
Broker-based Design of Supply Chains Atos Logistics & Supply Chains
Collaborative Supply Chain Risk Management Audi und Bosch Logistics & Supply Chains
Supplier Capacity Management Audi Logistics & Supply Chains
Control of Inbound- and Outbound-Logistics Bayer Logistics & Supply Chains
Enhanced Maintainence of Facilities by Exchanging Facility Data Bayer Logistics & Supply Chains
Central Providing of Clinical Data Boehringer-Ingelheim Health Industry
Assessment of Data Sources Boehringer-Ingelheim Health Industry
Plattform-Integration of Production Facilities Festo Production & Industrie 4.0
Smart Data Hub KOMSA Logistics & Supply Chains
Continuous Monitoring PWC End2End Customer Processes
Online-Transportgoodtracking Robert Bosch GmbH Logistics & Supply Chains
Constant Information in the Productionprocess Salzgitter Production & Industrie 4.0
Intelligente Bestandsauskunft Salzgitter End2End Customer Processes
Digital Linking of Production Lines Schaeffler Production & Industrie 4.0
Smart Sensor Intelligence SICK Production & Industrie 4.0
Dynamic Timeslot Management and Tracking in the Supply Chain Thyssenkrupp Logistics & Supply Chains
Control of Upstream- and Downstream-Supply Chain Volkswagen Logistics & Supply Chains
16Use
Cases
www.industrialdataspace.org // 13
• Time Slot Management, Dynamic Estimated Time of Arrvial and Track & Trace
• Integrating all existing telematics systems
• Ensuring maximum connectivity to all logistics service providers
• Using GS1 EDI XML as common message standard
• Comprehensive status changes
DIGITAL LINKING OF A PRODUCTION LINE
• Semantic standards for the Machine 4.0 (RDF)
• Combining of production, replenishment, maintainence, quality management
• Exchanging data along the whole production line and supply chain
• Combining vocabularies
• Reference technology stack for a machine 4.0
DYNAMIC TIMESLOT MANAGEMENT AND TRACKING IN THE SUPPLY CHAIN
+ Automatic matching of tool and order data
+ Minimizing tooling time
+ Correlation of machine and work pieceBenefits Benefits
+ Reducing traffic jams and out of stock situations
+ Time slot management in realtime
+ Better data quality for planning
OUR USE CASES MAKE IT HAPPEN
www.industrialdataspace.org // 14
• Merging of procurement systems
• Automatic management of semantic description of steel quality criterias
• Machine interface for availability
• Transparency and fast response time to customers
BROKER BASED DESIGN OF SUPPLY CHAINS
• Small lot sizes make adhoc actions necessary
• Orchestration of all network partners (Logistic service providers) to fulfill orders
• Selforganisedconfiguration of a transportation order
• Tender management
INTELLIGENT STOCK INFORMATION
+ Tailormade supply chains on demand
+ More transparency and options
+ Reducing the connections to suppliers
+ Procurement in realtime
+ Better quality by reducing misinformationBenefits Benefits
OUR USE CASES MAKE IT HAPPEN
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• Several research and technology organisationsand technology related associations (RTOs) allover Europe saveguard the technologicalcore of the Industrial Data Space
• RTOs act as hubs in Europe, to spread the ideainto the respective countries, gain newmembers and set up multiple use cases
• Participating in European and national research programs
• IDS-specific workinggroup within the EARTO (European Association of Research andTechnology Organisations)
STRONGLY ENGAGEDIN THE EUROPEAN RESEARCH LANDSCAPE
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Architecture
• Reference architecture
• Developing software components
• Standardization within DIN
• Configurating product backlog
Use-Cases & Requirements
• Transfer requirements of companies
to functional overview
• Support Use-Case integration
• Validation of IDS components
Certification
• Definition of requirements and
criteria for certification
• Certification roadmap
• Definition of components and roles
for certification
Exploitation & Business Modeling
• Development of user stories with IDS
in industries
• Defining regulation and market
incentives
• Strategic decisions
Legal Framework
• Consideration of legal aspects
within IDS
• Shaping the data economy
• Development IPR Policy
Communication
• Promotion of marketing and
communication of the initiative
• Communication strategy and actions
IDSA Annual Ordinary General Assembly
20.02.2017
3. Overview of Governance andWorking Groups
WORKING GROUPS AND TASKFORCES
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WORKING GROUP USE-CASES & REQUIREMENTS
Dr. Sven WenzelDigitization in Service Industries
Fraunhofer ISST
sven.wenzel@isst.fraunhofer.de
+49 231 97677-433
Dr. Alireza Tavakoli Innovation Strategy & Projects
thyssenkrupp AG
alireza.tavakoli@thyssenkrupp.com
+49 231 97677-433
HEAD OF THE WORKING GROUP
ACTIVITIES OF THE WORKING GROUP
Use Case Process
OBJECTIVES OF THE WORKING GROUP
WHO SHOULD ATTEND
• Determining requirements of companies
• Filling the functional overview with general requirements for the IDS to guarantee success and functionality
• Validating of IDS components
• Defining and evaluating quality criteria for use-cases
• Supporting the identification, set up, implementation, validation and the roll-out of use-cases
• Verifying the principles of IDS
• Contributing the establishment to a robustinfrastructure
The objective of the working group use-cases & requirements is to ensure practical relevance, help to achieve acceptance and to spread the word about Industrial Data Space as the basis for new sustainable business models and as an essential contribution for securing the future of the member companies.
• Experts in your company's business processes
• Somebody who has an idea to implement IDS in your company
• Colleagues who know about the exchanged data in your company
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WORKING GROUP ARCHITECTURE
ACTIVITIES OF THE WORKING GROUP OBJECTIVES OF THE WORKING GROUP
WHO SHOULD ATTEND
• Modifying the reference architecture model developed in the research project for the utilization of Industrial Data Space in industry together with representatives from the user companies
• Verifying the different parts of the reference architecture as the basis for the IDS ecosystem
• Owning the product backlog with prioritized requirements for implementing in different sprints which are developed by the research project
• Implementing and testing sprint releases within user companies
• Standardizing the IDS Connector in a DIN SPEC procedure
The working group architecture aims the development of business, security, data & service and software architecture. Furthermore, the working group takes responsibility for the standardization of the main software component the IDS Connector.
• Experts in analyzing and developing an IT Architecture
• Colleagues who know about your companies IT infrastructure, utilized software and systems
• Experts in developing software, apps or other components
Dr. Steffen Lohmann
Fraunhofer IAIS
steffen.lohmann@iais.fraunhofer.de
+49 2241 14-3021
Andreas TeuscherCorporate Security Office
SICK AG
Andreas.Teuscher@sick.de
+49 7681 202-5286
HEAD OF THE WORKING GROUP
www.industrialdataspace.org // 19
WORKING GROUP CERTIFICATION
ACTIVITIES OF THE WORKING GROUP OBJECTIVES OF THE WORKING GROUP
WHO SHOULD ATTEND
• Defining of criteria and certification requirements
• Specifying certificated roles and their respective responsibilities
• Developing and evaluating the certification process
• Analyzing existing “base” certificates
• Future evolution of the Industrial Data Space certification scheme
The objective of the working group certification is to define the certification scheme of the Industrial Data Space. This will include the specification of certification requirements and criteria, the definition of the roles and the development of the evaluation methods used during the certification.
• Experts in certification processes
• Colleagues who know about certification activities in your company
• Colleagues who are interested in certification in the Industrial Data Space
Nadja Menz
Digital Public Services
Fraunhofer FOKUS
nadja.menz@fokus.fraunhofer.de
+49 30 3463-7320
Aleksei Resetko
Risk Assurance Solutions
PwC AG
aleksei.resetko@de.pwc.com
+49 69 9585-5059
HEAD OF THE WORKING GROUP
HOW YOU CAN GET INVOLVED
• Piloting, applying and testing Industrial Data Space
• Implementing requirements in the development of the architecture
Use Cases
ArchitectureBusiness Development
• Support to help design the reference architecture
• Hands on workshops
• Agile software development
Workings groups
• Regular exchange with all member companies
• Dealing jointly with problems concerning data exchange
• Quick go to market
• Development of business models
• Development of common user models
• Joint use cases
Exchange of information
• Insights and business ideas
• Common events/Networking events
• Organisation of marketing activities/fairs
Standardisation/Certification
• Defining and implementing standards
• Designing the Industrial Data Space certification measures
Foto © Christian Rolfes/Ford
www.industrialdataspace.org // 21
MILESTONES REACHEDAND NEXT STEPS
ARCHITECTURE
First release of thereference architecturemodel in February as
base forstandardisation
INTERNATIONAL
Members all over theworld, major european
RTOs, intenseengagement in
european researchactivities
STANDARD
Foundation of a workinggroup at DIN to
create a DIN specification for the IDS
connector
HANNOVERMESSE
Breakthrough on Hannovermesse withmultiple use cases
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