Prof Dr Ir Egbert-Jan Sol

Transcription

1 Prof Dr Ir Egbert-Jan Sol

2 Content Basic Principles Observed Technology Concept Formulated Experimental Proof of Concept Technology Validation In lab Tech valid. In relevant environment Demonstration In relevant environment Demonstration In operational environment System complete and qualified Successful mission operations Fundamental research Pillar 1: Technological research Pillar 2: Product demonstration Pillar 3: Competitive manufacturing 1. Introduction 1. TRL (Technology Readiness Level) & Valley of Death 2. Smart Industry 3. Bottom-up approach

3 Key Enabling Technology of the EU commission

4 Risks management are key of fieldlabs Uitvinding Concept validatie Laboratorium prototyping & ontwikkeling Pilot productie & demonstratie Eerste marktintroductie Markt uitbreiding 4

5 The KET Version Basic Principles Observed Fundamental research Technology Concept Formulated Experimental Proof of Concept Was in EU 7FP from 1-4, In EU H2020 from TRL 1-7 Technology Validation In lab Tech valid. In relevant environment Demonstration In relevant environment Demonstration In operational environment System complete and qualified Successful mission operations Pillar 1: Technological research Pillar 2: Product demonstration Pillar 3: Competitive manufacturing Scale TRL 1 TRL 2 TRL 3 TRL 4 TRL 5 TRL 6 TRL 7 TRL 8 TRL 9 Description Basic principles observed Technology concept formulated Experimental proof of concept Technology validity in a lab Technology validated in relevant environm. Technology demonstrated in relevant env. System prototype demonstration in an operational environment System completed and qualified System proven in operational environment.

6 Innovation Models Shared Research Innovation Networks Or Ecosystems Open Innovation Was closed/corporates Today it goes too fast, is too expensive to do it alone Closed Open systems - Shared Research and - Networked Innovation ecosystems Idea/Unmeet market need Open Campus Classical Corporate Research 1.. TRL (Technology Readiness Level) 9 Users/Customers

7 KET Technology Platform at HighTech Campus, Eindhoven Holst Centre/Solliance jointly run by TNO, imec, (ECN, FZ Jülich, +)

8 Content 1. Introduction 1. TRL (Technology Readiness Level) & Valley of Death 2. Smart Industry 1. Technical Innovation leading to 2. Business Innovation& Social Innovation leading to 3. Changes in our industrial landscape 3. Bottom-up approach 1. Awarenss 2. Fieldlabs 3. Skills 4. ICT 4. Summary

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10 Internet of Things (IoT) Intel Edison (2014) 35 x 25 x 4 mm 500Mhz, 1GB, 32bit USB, WiFi 11an, Bt 20 Dig I/O, 6 Ana Input 13mW, 20mW (Bt), 35 mw Wifi Intel Curie (2015) Image the OEM who can monitor its devices during the total life cycle -> instead of selling it one, pay-per-use becomes possible Image a factory floor with each equipment and all humans interconnect continuously with each other, the internet, and all parts on the shop floor

11 The changing face of industry and society

12 Network Centric Production: information as main source for value creation

13 Information as value driver leads to new business models in (traditional) industry Competition driven by Cost Competition driven byuseof Information Box s Selling Total costof ownership Customization Solution selling The Lease Car of the Year 0% Bijtelling

14 Smart changing industry and society New Products and services New Business Models Radical changes in the value chain of book production Radical changes in farming and milk production

15 Content 1. Introduction 2. Smart Industry 1. Technical Innovation leading to 2. Business Innovation& Social Innovation leading to 3. Changes in our industrial landscape due to the acceleration of the digitalisation of our industries Smart Industry = Innovation Industrie Economy 4.0 Internet of Things(IoT) Smart Business = Smart Health + Smart Mobility+ + Smart Services Smart Industry

16 Risks management are key of fieldlabs Uitvinding Concept validatie Laboratorium prototyping & ontwikkeling Pilot productie & demonstratie Eerste marktintroductie Markt uitbreiding 16

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18 Content 1. Introduction 1. Higher TRL s 2. Smart Industry the acceleration of the digitalisation of our industries 3. Bottom-up approach of Smart Industry 1. Awareness KvK MIT regeling 2. Fieldlabs EU FoF, EFRO, Toekomstfonds NWO/STW HTSM Call Skills tbdmin SZW & O&O fondsen 4. ICT (Standards/Security/Storage/Software) EU Big Data, Commit2Data 4. Summary

19 Smart Industry Agenda, Line of Action 1 CASHING of EXISTING KNOWLEDGE 1. ' Netherlands Smart Industry land '. Informing a wide audience, including business, about Smart Industry developments, aimed at understanding and support. 2. Entrepreneurs get started. Entrepreneurs get started faster with new business propositions, supported with information, coaching and advice aimed at cooperation and knowledge exploitation.

20 T Get started

21 Smart Industry Awareness action line Business Overview Actions Insight Opportunities

22 Line of Action 2: establish Field Labs ACCELERATING IN FIELD LABS 3. Sample Field Labs at the start. The aim is to have 10 Field Labs ready to go as soon as possible. Business plans must be detailed, consortia built up and financing arranged. 4. Second instalment Field Labs. There is a need for additional Field Labs. These Field Labs will be made ready for operation in Monitoring and knowledge exchange. Investments will be made in getting to know Field Labs and spreading knowledge to education and the broad business community.

23 FIELD LABS SMART SPECIALISATION

24 FIELD LABS Flexible Manufacturing Zero Programming In small series, flexible and fully automated production by robots without programming time

25 scope Physical manipulation Cognition FieldLab Flexible Manufacturing Radicalambition: flexibleandfullyautomizedproductionof small series byrobots and based on zero-programming Perception augmented reality sensoring human-robot collaboration robotics smart vision CAD-CAM embedded intelligence Manual Collaborative Automated Zero Programming

26 FIELD LABS NORTH AND EAST NETHERLANDS: REGION OF SMART FACTORIES Radicaal doel: Foutloze productie en First Time Right product- en procesontwikkeling leiden tot een succesvolle vraaggestuurde maakindustrie. 26

27 PHILIPS DRACHTEN

28 FIELD LABS The digital factory: Smart networkedhigh-tech supplychain Becoming the world s best networked digital factory, where companies collaborate on the development and manufacture of complex high-tech machines

29 Goals Fieldlab Digital Factory Objective: Best and seamless networked supply and knowledge chain for High Tech Equipment development and manufacturing. Low hanging Fruit: Cost reduction through chain automation In and outbound ordering Version and change management Technical product data and specifications. Quality management system Standardisation of interfaces over multiple software platforms for data exchange. Ambition: A worldclass competitive chain attractive development and supply chain to foreign OEM s. 20% reduction in costs because of improved data management and exchange.

30 FIELD LABS Multi-material 3D printing Developing completely new value chains based on the next generation of 3D print technologies and the associated data management systems

31 Multi-material 3D Printing lead applications The human centric (dental)and high-techmarkets are appealing carriers for this FieldLab Why: Small series high volume Personalized and customized manufacturing of parts Freeform Light weight, no assembly On-demand manufacturing No spare parts in stock What: Management of data Design manufacturing aier care Advanced process control One-time right, certification Multi-material products Seamless connected production steps

32 FIELD LABS Designing Ultra Personalised ProductsandServices: UPPS Developing radical new product propositions for the manufacturing industry through innovative use of data and by making products fully customised

33 FIELDLAB UPPS Ultra Personalized Products & Services

34 FIELD LABS CAMPIONE: 100% predictable maintenance in the chemical sector Making maintenance for chemical companies 100% predictable so that productivity, availability and safety of the means of production are significantly improved and at lower cost

35 Fieldlab Campione: Zero surprises maintenance

36 FIELD LABS Smart DairyFarming2.0 Increasing the sustainability of dairy farming through real-time monitoring of dairy cows and data sharing in the chain

37 LELY INDUSTRIES

38 Fieldlab SMART DAIRY FARMING Increasing the sustainability of dairy farming by real-time monitoring of dairy cows and sharing data in the chain. aantall en NL noeme n

39 FIELD LABS SMARTfood Making the Dutch industry the global leader in smart solutions for fully automated production, cultivation and distribution of fresh fruit and vegetables

40 Fieldlab SMARTFood Making the Dutch industry world leader in smart solutions for fully automated production, cultivation and distribution of fresh fruits and vegetables.

41 Smart Industry Agenda, Line of Action 3a STRENGTHENING the FOUNDATION KNOWLEDGE 6. Strengthen R&D to boost Fieldlabs. Part of the Fieldlabsis investing in research themes directly linked to the Fieldlabs. This happens through the top sectors. 7. Smart Industry research agenda. A long-term research agenda will be set up in cooperation with universities, TO2, STW and NOW and others.

42 Engineering Sciences for Smart Industry Data management, big data and pattern recognition Multi-scale modeling techniques Self-learning techniques Computer technology and software development Information and communication technologies Distributed networking ( cloud computing ) Human interfacing, industrial design Embedded systems research control engineering, process control Advanced manufacturing technologies Functional Materials

43 Mathematics and Natural Sciences for Smart Industry Materials science, including soft and biological matter Applied mathematics, computational science, mathematical modelling Advanced instrumentation for (massive) data handling and storage Fluid dynamics and non-newtonian mechanics Functional materials, interface physics and catalysis Nanotechnology, MEMS/NEMS, characterization and manipulation at the nano-scale

44 Behavioral Sciences for Smart Industry How adaptive are humans to having robots as a colleague? How does human behavior change in the vicinity of human-like automated machines? How does robotisationaffect production and motivation of skilled workers? How do we train new generations for jobs that are unknown as we train them? Can we predict skills needed? How to adjust the workplace with respect to an ageing workforce How to flexibly prepare the changing workforce by robot-supported work?

45 Humanities for Smart Industry How can we sustain the capability of workers to adapt to a fast moving and dynamic environment where creative skills and lifelong learning seem indispensable. What about open access and ownership of information, data streams, identity and privacy in a new industrial context? What will the loss of traditional jobs mean for society and how do the working class heroes of the future look like? What are the effects of new production methods and new materials on urban region planning, smart cities and architecture? How can we contextualise the development of Smart Industries in a social, cultural and historic context?..

46 Smart Industry Agenda, Line of Action 3b STRENGTHENING the FOUNDATION SKILLS 8. Human capital development within companies. Together with companies and employees actions are carried out in the field of workersflexibility and task rotation. There are also courses to promote sustainable employability. 9. Regional approach to connect business and schools. To match the needs of companies and offer of schools Smart Industry research lectures are set up and modular education blocks offered. 10.Learn without interruption. The relevant educational programs of primary education to scientific education and dual education are adapted to the needs of Smart Industry in the future. 11.Social innovation. There will be a social innovation action programme aimed at Smart Industry to equip the organisation and the employee of the future for Smart Industry in the future.

47 Smart Industry Agenda, Line of Action 3c STRENGTHENING the FOUNDATION ICT CONDITIONS 12. Big data, big trust. Developing technical solutions, business models and cooperation-forms that simplify the exchange and use of data. 13. Software action plan. Carrying out a research program, focused on the development of software tools, with a view to chain cooperation, standardization and interoperability. 14. Cyber security. Build a robust and secure ICT infrastructure for Smart Industry.

48 Content - Summary 1. Introduction 1. Technical Innovation(low TRL 1-4) + Creating business and jobs (high TRL) 2. Smart Industry the acceleration of the digitalisation of our industries Smart Industry = Innovation Industrie Bottom-up approach creating(new) networked innovation ecosystems with the complete production value chain/constellation 4. Smart Industry in topsector HTSM 1. cross topsector agenda (like biotech, nanotech en ICT), hosted at HTSM 2. Broader then mechatronics& manufacturing 3. EU Factory-of-the-Future, NL TKI-HTSM, NWO/STW HTSM call, MIT-calls, (fieldlabs in EFRO calls en Toekomstfonds)

49 Fieldlab Fieldlab: a practice environment in which companies and knowledge institutions targeted further development, testing, and deploying Smart Industry Solutions Different functions: - achieve breakthrough innovations - driver of innovation ecosystem - low threshold (new technology) - regional integration - connecting HBO and MBO to Smart Industry topics - Identification of Human Capital attention points - identifying obstacles for regulation