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WHY WE NEED AN EUROPEAN LOGISTICS DATA SPACEThorsten Huelsmann, Industrial Data Space Association

THORSTEN HUELSMANN IS CEO OF EFFIZIENZCLUSTER MANAGEMENT GMBH (ECM) AND AFFILIATED WITH FRAUNHOFER IML AND IDSA

Member of / Partner of:

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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 SNEAKERPHYSICAL PRODUCTS GROW TO DIGITAL SERVICES

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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

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DIGITISING EUROPEAN INDUSTRY (DEI) TECHNOLOGIES DRIVING THE CHANGE

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DIGITAL TRANSPORT & LOGISTICS FORUMADRESSES THE RIGHT QUESTIONS

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IN »DIGITISING EUROPEAN INDUSTRY« DATA IS A KEY RESOURCE FOR BUSINESS MODEL INNOVATION

»DigitisingEuropean Industry«

End-to-End

Customer Process

Hybrid Service

Offerings

Data-Centricity

Business Ecosystem

s

Digital Platforms

New Business Models

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AS A CONSEQUENCE OF »DIGITISING EUROPEAN INDUSTRY« THE DEMAND FOR TRANSPARENCY AND INTEROPERABILITY IN VALUE NETWORKS IS INCREASING

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VARIOUS FP7 AND H2020 PROJECTS ADDRESS SMART SERVICES AND PLATFORM / SAAS SOLUTIONS

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 orlegal person for exclusiveself-determination withregard to ist economic datagoods.

DIGITAL SOVEREIGNTY

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INDUSTRY ARTICULATED REQUIREMENTS FOR A NETWORK OF TRUSTED DATA - THE INDUSTRIAL DATA SPACE

Trust

CertifiedParticipants

Scalability

Network Effects

Openness

Neutrality andUser Community

Governance

Mutual Rules ofthe Game

Ecosystem

Platforms andServices

Security

On-Demand DataExchange

Sovereignty

Data Ownership

Decentral Control

FederatedArchitecture

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.

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Others

THE INDUSTRIAL DATA SPACE DEFINES THE DATA ARCHITECTURE BETWEEN SMART SERVICES AND THE INTERNET OF THINGS

Manufacturing Health FoodLogistics

© Fraunhofer, Boris Otto

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THE INDUSTRIAL DATA SPACE CONNECTS VARIOUS DIGITAL PLATFORMS AND THE INTERNET OF THINGS

© Fraunhofer, Boris Otto

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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

BrokerConsumerProduction

FIELD VIEW(FACTORY)

VALUE CHAIN

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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

INDUSTRIAL DATA SPACETHE INITIATIVE AND OUR TARGET

/ 2016 - Establishment of IDSA / 80+ Companies, Alliances, Institutions are membersof the association/ 2016 - Introduction to Oettinger Roundtable / IDSA active in 14 countries

Governance and referencearchitecture for an

international standardon data sovereignty

Start 2014

Target

/ 2015 - Initial Project supported by German Government/ 2015 - High Level Talks in German and European Industry

Jan. 2016

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80+Companies andOrganisations

5Working Groups

18Use

Cases

1Ecosystem

=

First workinggroup meetings

MEMBERSHIP DEVELOPMENTAND MILESTONES

Foundation with 18 Members

Connector realised in firstsprint

Go Live first usecase with

thyssenkrupp

2016 2017

52 membersend of 2016

80+members

today

First international

member

More than 150 members at the end

of 2018

Hannovermesse:Release of thereferencearchitecturedocument

Start of the DIN standardisation process Foundation of

first international hub

First publicassembly on CeBIT – MoUwith OPC-Foundation –releasewhitepaper

Strategic Goals for 2018

∕ More (international) members∕ Strategic alliances∕ First products

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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

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• 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

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• 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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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

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Several research and technology organisations(RTOs) allover Europe saveguard thetechnological core 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 RTOs)

STRONGLY ENGAGED

IN EUROPE AND WORKING TOWARDS IDSA HUBS

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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 2018

with multiple use cases

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THORSTEN HUELSMANN

DIRECTORINDUSTRIAL DATA SPACE ASSOCIATION

www.linkedin.com/in/thorstenhuelsmannecmde.slideshare.net/ThorstenHuelsmann

Joseph-von-Fraunhofer-Str. 2-444227 Dortmund | Germany

+49 231 9743 619info@industrialdataspace.org

@ids_association#industrialdataspace

www.industrialdataspace.orgRessource Hub – Press Area – Blog

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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

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