For com­pa­nies, data is only worthwhile if it can be pro­ces­sed. At the same time, a new, com­pre­hen­si­ve and gene­ral­ly accep­ted hand­ling prac­tice has to be ancho­red in the way data is utilized. Indus­tri­al Data Space is a vir­tu­al data space which sup­ports the secu­re exchan­ge and simp­le lin­king of data in busi­ness eco­sys­tems on the basis of stan­dards and by using col­la­bo­ra­ti­ve gover­nan­ce models. Data is only exch­an­ged if it is requested from trust­worthy cer­ti­fied part­ners. The data owner – i.e. the com­pa­ny – deter­mi­nes who is allo­wed to use the data in what way. As a result, the part­ners of one sup­ply chain have joint access to cer­tain data by mutu­al con­sent so that they can start some­thing new, deve­lop new busi­ness models, design their own pro­ces­ses more effi­ci­ent­ly or initia­te addi­tio­nal added value pro­ces­ses else­whe­re, eit­her alo­ne or together. This presentation was shown at Digital Transport Days, November 9, 2017.

1. // 1www.industrialdataspace.or
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WHY WE NEED AN EUROPEAN LOGISTICS DATA SPACE
Thorsten Huelsmann, Industrial Data Space Association

2. THORSTEN HUELSMANN IS CEO OF EFFIZIENZCLUSTER MANAGEMENT
GMBH (ECM) AND AFFILIATED WITH FRAUNHOFER IML AND IDSA
Member of / Partner of:

3. // 3www.industrialdataspace.or
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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 SNEAKER
PHYSICAL PRODUCTS GROW TO DIGITAL SERVICES

4. www.industrialdataspace.org // 4
The purpose of this Communication is to reinforce
the EU's competitiveness in digital technologies and
to ensure that every industry in Europe, in
whichever sector, wherever situated, and no matter
of what size can fully benefit from digital
innovations.
DIGITISING EUROPEAN INDUSTRY (DEI) AS UMBRELLA
FOR DIGITAL TRANSPORT AND LOGISTICS

5. www.industrialdataspace.org // 5
DIGITISING EUROPEAN INDUSTRY (DEI)
TECHNOLOGIES DRIVING THE CHANGE

6. www.industrialdataspace.org // 6
DIGITAL TRANSPORT & LOGISTICS FORUM
ADRESSES THE RIGHT QUESTIONS

7. www.industrialdataspace.org // 7
IN »DIGITISING EUROPEAN INDUSTRY« DATA IS A KEY
RESOURCE FOR BUSINESS MODEL INNOVATION
»Digitising
European
Industry«
End-to-
End
Customer
Process
Hybrid
Service
Offerings
Data-
Centricity
Business
Ecosystem
s
Digital
Platforms
New
Business
Models

8. www.industrialdataspace.org // 8
AS A CONSEQUENCE OF »DIGITISING EUROPEAN
INDUSTRY« THE DEMAND FOR TRANSPARENCY AND
INTEROPERABILITY IN VALUE NETWORKS IS INCREASING

9. www.industrialdataspace.org // 9
VARIOUS FP7 AND H2020 PROJECTS ADDRESS SMART
SERVICES AND PLATFORM / SAAS SOLUTIONS

10. Interoperability
Data Exchange
»Sharing Economy«
Data Centric Services
Data Ownership
Data Security
Data Value
ENTERPRISES END UP IN A CONFLICT OF INTEREST
BETWEEN THE DEMAND TO SHARE DATA AND THE NEED
TO PROTECT IT
is the cability of a natural or
legal person for exclusive
self-determination with
regard to ist economic data
goods.
DIGITAL SOVEREIGNTY

11. www.industrialdataspace.org // 11
INDUSTRY ARTICULATED REQUIREMENTS FOR A NETWORK
OF TRUSTED DATA - THE INDUSTRIAL DATA SPACE
Trust
Certified
Participants
Scalability
Network Effects
Openness
Neutrality and
User Community
Governance
Mutual Rules of
the Game
Ecosystem
Platforms and
Services
Security
On-Demand Data
Exchange
Sovereignty
Data Ownership
Decentral Control
Federated
Architecture
This means …
… 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.

12. www.industrialdataspace.org // 12
Others
THE INDUSTRIAL DATA SPACE DEFINES THE DATA
ARCHITECTURE BETWEEN SMART SERVICES AND THE
INTERNET OF THINGS
Manufacturing Health FoodLogistics
© Fraunhofer, Boris Otto

13. www.industrialdataspace.org // 13
THE INDUSTRIAL DATA SPACE CONNECTS VARIOUS
DIGITAL PLATFORMS AND THE INTERNET OF THINGS
© Fraunhofer, Boris Otto

14. www.industrialdataspace.org // 14
THE INDUSTRIAL DATA SPACE
MULTILATERAL – USAGE CONTROL – CONNECTING PLATFORMS AND CLOUDS
PLANNING, EXECUTION, CONTROL
(MULTI-SIDED PLATFORMS)
Traffic Weather
OPEN
CONTEXT DATA
Actors Sensors Machines
IoT Clouds
Domain specific platforms
Marketplaces
Broker
ConsumerProduction
FIELD VIEW
(FACTORY)
VALUE CHAIN

15. www.industrialdataspace.org // 15
A TRUSTED PEER TO PEER NETWORK
FOR 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

16. INDUSTRIAL DATA SPACE
THE INITIATIVE AND OUR TARGET
/ 2016 - Establishment of IDSA
/ 80+ Companies, Alliances, Institutions are members
of the association
/ 2016 - Introduction to Oettinger Roundtable
/ IDSA active in 14 countries
Governance and reference
architecture for an
international standard
on data sovereignty
Start 2014
Target
/ 2015 - Initial Project supported by German
Government
/ 2015 - High Level Talks in German and European
Industry
Jan. 2016

17. www.industrialdataspace.org // 17
80+
Companies and
Organisations
5
Working Groups
18
Use
Cases
1
Ecosystem
=

18. First working
group meetings
MEMBERSHIP DEVELOPMENT
AND MILESTONES
Foundation with 18 Members
Connector
realised in first
sprint
Go Live first use
case with
thyssenkrupp
2016 2017
52 members
end of 2016
80+
members
today
First
international
member
More than 150
members at the end
of 2018
Hannovermesse:
Release of the
reference
architecture
document
Start of the DIN
standardisation process Foundation of
first international
hub
First public
assembly on
CeBIT – MoU
with OPC-
Foundation –
release
whitepaper
Strategic Goals for 2018
∕ More (international) members
∕ Strategic alliances
∕ First products

19. www.industrialdataspace.org // 19
OUR USE CASES MAKE IT REAL
INDUSTRIAL DATA SPACE IN ACTION
Each member of the association
realizes a business driven use
case
 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
16
Use
Cases

20. www.industrialdataspace.org // 20
• 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 piece
Benefits 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

21. www.industrialdataspace.org // 21
• 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
• Selforganised
configuration 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 misinformation
Benefits Benefits
OUR USE CASES MAKE IT HAPPEN

22. www.industrialdataspace.org // 22
Short Description
• Phase 1: Event based
transfer of effected
Supply Chain data
• Phase 2:Event based
transfer of material flow
data
COLLABORATIVE SUPPLY
CHAIN RISK MANAGEMENT
Benefits
+ On demand Supply Chain Transparency
+ Realtime Tracking and Tracing
+ Proactive Supply Chain Risk Management
OUR USE CASES MAKE IT HAPPEN
Main Technology/IDS
Components
• Internal and external IDS
connector
• Vocabulary
• Bosch Tracking & Tracing
Partners/Ecosystem
• Logistics Service Provider
(tbd.)
• Tier-2 Supplier (tbd.)
Targets
• Set of rules
• Standardized data
definitions
• Harmonized data model
• Proof of concept for the
data transfer

23. www.industrialdataspace.org // 23
 Several research and technology organisations
(RTOs) allover Europe saveguard the
technological core of the Industrial Data Space
 RTOs act as hubs in Europe, to spread the idea
into the respective countries, gain new
members and set up multiple use cases
 Participating in European and national
research programs
 IDS-specific workinggroup within the EARTO
(european association of RTOs)
STRONGLY ENGAGED
IN EUROPE AND WORKING TOWARDS IDSA HUBS

24. www.industrialdataspace.org // 24
MILESTONES REACHED
AND NEXT STEPS
ARCHITECTURE
First release of the
reference architecture
model in February as
base for
standardisation
INTERNATIONAL
Members all over the
world, major european
RTOs, intense
engagement in
european research
activities
STANDARD
Foundation of a
workinggroup at DIN to
create a DIN
specification for the IDS
connector
HANNOVERMESSE
Breakthrough on
Hannovermesse 2018
with multiple use cases

25. // 25
THORSTEN HUELSMANN
DIRECTOR
INDUSTRIAL DATA SPACE ASSOCIATION
www.linkedin.com/in/thorstenhuelsmannecm
de.slideshare.net/ThorstenHuelsmann
Joseph-von-Fraunhofer-Str. 2-4
44227 Dortmund | Germany
+49 231 9743 619
info@industrialdataspace.org
@ids_association
#industrialdataspace
www.industrialdataspace.org
Ressource Hub – Press Area – Blog

26. www.industrialdataspace.org // 26
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 and
Working Groups
WORKING GROUPS AND TASKFORCES

27. 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