INDUSTRIAL DATA SPACE A NEW IDEA FOR SHARING DATA

Transcription

1 INDUSTRIAL DATA SPACE A NEW IDEA FOR SHARING DATA

2 80+ Companies and Organisations 15+ Countries 25+ Use Cases = 1 Ecosystem // 2

3 A SNEAKERISNOLONGERA SNEAKER PHYSICAL PRODUCTS GROW TO DIGITAL SERVICES Digitisation 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 g Data as strategic resource enables smart services, products and our desired lifestyle of the future. // 3 Foto greatist.com

4 DATA AN ECONOMIC ASSET TECHNICAL DRAWINGS FINANCIAL DATA MOBILITY DATA MATERIAL CHARACTERISTICS SENSOR DATA The key focus for a data-driven economy and newbusinessmodelsisin linkingdata.

5 DATA AN ECONOMIC ASSET Value added, criticality of the data shared Development of existing ways of sharing Data with the regard to the enforcement of use restrictions Ranges of Material Manufacturing Steps Supply Net Structures Industrial Data Space Supply Chain Event Data RFID IoT Master Parts Management Change Requests Safety Data Sheets Electronic Business Demand Dispatch Notifications Invoices EDI today time

6 DATA AN ECONOMIC ASSET Value of data and provenance Dynamic linking of data endpoints DATA High amount and rate of data processed

7 WE HAVE A NEW IDEA FOR SHARING DATA Data Ownership Data Security Data Value Interoperability Data Exchange»Sharing Economy«Data Centric Services DIGITAL SOVEREIGNTY is the ability of a natural or legal person to exclusively and sovereignly decide concerning the usage of data as an economic asset.

8 OBSTACLES CONCERNING EXTENSIVE SHARING OF DATA 57% 59% 55% 32% Today worry about revealing valuable data and business secrets. fear the loss of control over their data. feel inconsistent processes and systems as a (very) big obstacle. fear that platforms do not reach the critical mass, so that data exchange will be interesting. Industrial Data Space Approach More Data Security Improvement of Sovereignty Optimising Processes and Cost Structures Join us! PwC-Study on "Industrial Data Space"

9 UNLEASH THE VALUE OF YOUR DATA Enable the access to yet untouched data treasures in your company while staying in control over its flow and usage.

10 HOW TO DATA ECONOMY UNLEASH THE VALUE OF YOUR DATA 1. Make data available dynamic, on demand (describe, expose) 2. Link with ecosystem partners (connect, match, interprete) 3. Control the access to your data (usage control) 4. Create value (Apps, remote software execution, aggregation) // 10

11 ARCHITECTURE FOR DATA AND DATA SERVICES AN INFRASTRUCTURE FOR ALL INDUSTRIES AND DOMAINS Smart-Service-Scenarios Automotive Electronics and IT Logistics Retail and Food Health (other Industries) Architecture level Service and product innovations»smart Data Services«(alerting, monitoring, data quality etc.) INDUSTRIAL DATA SPACE»Basic Data Services«(information fusion, mapping, aggregation etc.) Internet of Things broad band infrastructure 5G Real Time Area sensors, actuators, devices // 11

12 INDUSTRIAL DATA SPACE APPROACH: SELF DETERMINED CONTROL OF DATA FLOWS Endless Connectivity Trust between different security domains Governance for the data economy standard for data flows between all kinds of data endpoints Comprehensive security functions providing a maximum level of trust usage control and enforcement for data flows // 12

13 TO DO LIST INDUSTRY 4.0 AND DATA ECONOMY TRUST Trust is the basis of the IDS Identitymanagement User-certification SECURITY Everything needs to be secure Authentication & Authorisation Usage Policies & Usage Enforcement Trustworthy Communication Security by Design Techn. Certification ECOSYSTEM OF DATA Being able to explain, find and understand data Data source description Brokering Vocabulary STANDARDIZED CONNECTIVITY Connection of every data endpoint Integration of existing vocabularies Using different data formats Connection of clouds and platforms VALUE ADDING APPS Typical tasks can be solved easier with apps Processing of Data Remote Execution DATA MARKETS Data is being traded as an asset Clearing & Billing Domain specific Broker and Marketplaces Use Restrictions and Legal Aspects (Contract Templates, etc.) // 13

14 A TRUSTED PEER TO PEER NETWORK FOR ALL INDUSTRIES TO LINK DATA // 14

15 REFERENCE ARCHITECTURE MODEL FUNCTIONAL ARCHITECTURE Clearing House Identity Management Data App implementation App Ecosystem Deployment in App Store Installation and support Data source description Vocabulary & Metadata Management Broker repository and indexing Vocabulary management Data exchange Connector Data processing and transformation More than 100 functional requirements (Appendix B) Trust & Security // 15

16 CONNECTOR ENABLES ACCESS 4 TAILOR-MADE SECURITY PROFILES Execution Core Container: Basic functionality for connectivity App Store Container: Environment for custom apps to extend functionality (i. e. transformation, analytics, pseudonymisation, protocol transformation) Custom Container: Adapter for internal systems Configuration Manager Environment for Configurations, e.g. process based, rules oriented // 16

17 OUR USE CASES MAKE IT HAPPEN COLLABORATIVE SUPPLY CHAIN RISK MANAGEMENT Short Description Phase 1: Event based transfer of effected Supply Chain data Phase 2:Event based transfer of material flow data Main Technology/IDS Components Internal and external IDS connector Vocabulary Bosch Tracking & Tracing Benefits + On demand Supply Chain Transparency + Realtime Tracking and Tracing + Proactive Supply Chain Risk Management Targets Set of rules Standardized data definitions Harmonized data model Proof of concept for the data transfer Partners/Ecosystem Logistics Service Provider (tbd.) Tier-2 Supplier (tbd.) // 17

18 OUR USE CASES MAKE IT HAPPEN DYNAMIC TIMESLOT MANAGEMENT AND TRACKING IN THE SUPPLY CHAIN DIGITAL LINKING OF A PRODUCTION LINE 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 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 Benefits + Reducing traffic jams and out of stock situations + Time slot management in realtime + Better data quality for planning Benefits + Automatic matching of tool and order data + Minimizing tooling time + Correlation of machine and work piece // 18

19 OUR USE CASES MAKE IT HAPPEN INTELLIGENT STOCK INFORMATION BROKER BASED DESIGN OF SUPPLY CHAINS Merging of procurement systems Automatic management of semantic description of steel quality criterias Machine interface for availability Transparency and fast response time to customers 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 Benefits + Reducing the connections to suppliers + Procurement in realtime + Better quality by reducing misinformation Benefits + Tailormade supply chains on demand + More transparency and options // 19

20 MILESTONES REACHED AND NEXT STEPS ARCHITECTURE STANDARD INTERNATIONAL GO LIVE Release of the reference architecture model 2.0 on Hannover Fair Foundation of a workinggroup at DIN to create a DIN specification for the IDS connector Members all over the world, connecting with important initiatives, major european RTOs, intense engagement in european research activities Ecosystem potentially running, first products, enhancing global adoption // 20

21 JOIN US! LARS NAGEL MANAGING DIRECTOR INDUSTRIAL DATA SPACE ASSOCIATION JOSEPH-VON-FRAUNHOFER-STR DORTMUND GERMANY #industrialdataspace Ressource Hub Press Area Blog // 21