leit – factories of the future opportunities under horizon 2020 work programme 2014/15 ict for...

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LEIT – Factories of the Future Opportunities under Horizon 2020 Work Programme 2014/15 ICT for Factories of the Future Francesca Flamigni DG CONNECT, European Commission Complex Systems & Advanced Computing (A3)

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LEIT – Factories of the Future

Opportunities under Horizon 2020Work Programme 2014/15

ICT for Factories of the Future

Francesca Flamigni

DG CONNECT, European Commission

Complex Systems & Advanced Computing (A3)

Horizon 2020

Support to FoF cPPP under WP 2014/2015

ICTICT

In the LEIT pillar:

•Specific topics: FoF 1, FoF 8 and FoF 9

•Other specific topics

In the LEIT pillar:

•Specific topics: FoF 1, FoF 8 and FoF 9

•Other specific topics NMK

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Horizon 2020

Support to FoF cPPP under WP 2014/2015

ICTICT

In the LEIT pillar:

•Specific objectives FoF 1, FoF 8 and FoF 9

•Other specific objectives

In the LEIT pillar:

•Specific objectives FoF 1, FoF 8 and FoF 9

•Other specific objectives NMK

Main characteristics:

•Implementation of the EFFRA SRA

•Member States committees (LEIT-ICT and LEIT-NMK) are responsible accordingly

•In the WP text, the FoF part can be found under LEIT – Nanotechnologies, Advanced Materials, Biotechnologies and Advanced Manufacturing and Processing – workprogramme

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    2014 2015  EUR

million  

Process optimisation of manufacturing assets FoF1

32  

2  ICT-enabled modelling, simulation, analytics and forecasting technologies

FoF8  31

  1

ICT Innovation for Manufacturing SMEs (I4MS) FoF9

  35  1

  

34 68

Call Planning

Overall indicative budget: EUR 102 million from the year 2014 and 2015 budget

Annual Calls --- all calls single stage evaluationInstruments: CP100: 100% of eligible costs

CP70: 70% of eligible costsCSAs

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LEIT ICT Supporting Europe's

Manufacturing industries

Direct Contribution to FoF PPPdriven by EFFRA Roadmap

WP 2014/15: 102M€Total H2020: up to 450M€

Horizon 2020

Indirect Contribution to SPIRE PPPand their SRA

Ph

oto

nics2

1 P

PP

eu

Rob

otics

PPP

EC

SE

L Jo

int

Un

dert

akin

g.

. .

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Laser-based manufacturing

Robotics Modelling, Simulation, Analytics

Cyber-physical systems forprocess (chain) optimisation

Innovative ICTmakes the difference

EU Suppliers areWorld Market Leaders

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ICT Researchin FP7

Smart Factories: Factories from Computers•Process optimization through embedded ICT and real-time data processing•A quantum leap of interoperability and configurabilityfor customized production at any time and location

Digital Factories: First time right – made in Europe •SW for innovative products through digital design & validation tools •Responding to higher variance and shorter innovation cycles

Virtual Factories: Managerial control through the Cloud•IoT for fully integrated production, supply chain, logistics and customization needs in real time•From supply chains to business ecosystems

Factories of the Future

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Cyber Physical Systems – CPS, lasers

3 challengesin ICT WP2014/5

Advanced Computing

Innovation

WP2015

WP2014

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Collaborative projects in 3 areas + 1 CSA:

i. CPS-based process optimisation for adaptive and smart manufacturing • Scalable CPS architectures for adaptive and smart manufacturing systems,

scalable models and simulation at machine and/or processes level with multi-level semantic access to functional features and data

ii. Collaborative and mobile manufacturing• tools for process optimisation of manufacturing assets across the supply

chain towards the Cloud-enabled Manufacturing Business Web.

iii. Towards zero-failure laser-based manufacturing: • Fast and accurate process monitoring systems allowing in-situ feedback

control of laser and machining parameters

b. Support Action (CSA)Build R&D constituencies & develop research and innovation agendas

Obj.FoF-1: WP2014

Process optimisation of manufacturing assets

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Collaborative projects in 3 areas + 1 CSA:

i. CPS-based process optimisation for adaptive and smart manufacturing • Scalable CPS architectures for adaptive and smart manufacturing systems,

scalable models and simulation at machine and/or processes level with multi-level semantic access to functional features and data

ii. Collaborative and mobile manufacturing• tools for process optimisation of manufacturing assets across the supply

chain towards the Cloud-enabled Manufacturing Business Web.

iii. Towards zero-failure laser-based manufacturing: • Fast and accurate process monitoring systems allowing in-situ feedback

control of laser and machining parameters

b. Support Action (CSA)Build R&D constituencies & develop research and innovation agendas

Obj.FoF-1: WP2014

Process optimisation of manufacturing assets

What do we want? •Industry-driven•Whole value chain•R&D including validation/demonstration

What do we want? •Industry-driven•Whole value chain•R&D including validation/demonstration

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Obj.FoF-1 Process optimisations of Manufacturing assets (Intra-plant manufacturing)

Scopea)R&I Actions: Small projects, 100% EU funding

CPS-based process optimisation for adaptive and smart manufacturing

•Need: Scalable CPS architectures that exploit backend simulation and predictive modelling as well as advanced local control algorithms, distributed control up to the enterprise level to optimise local decision making and optimization

•Actions: development of methods for real time analysis, modelling and control to mimic and optimize manufacturing processes at local and backend level

b)Coordination and Support Actions

c)Consensus building for a factory-wide interoperability framework for CPS engineering and manufacturing environments

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Obj.FoF-1 Process optimisations of Manufacturing assets (Intra-plant manufacturing)

Scopea)R&I Actions: Small projects, 100% EU funding

CPS-based process optimisation for adaptive and smart manufacturing

•Need: Scalable CPS architectures that exploit backend simulation and predictive modelling as well as advanced local control algorithms, distributed control up to the enterprise level to optimise local decision making and optimization

•Actions: development of methods for real time analysis, modelling and control to mimic and optimize manufacturing processes at local and backend level

b)Coordination and Support Actions

c)Consensus building for a factory-wide interoperability framework for CPS engineering and manufacturing environments

Expected Impact:

Increased capability for better and faster reaction to market changes by being able to use holistic global and local optimization algorithms in a collaborative value chain.

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Targets:•Machine and process level•Sensor data•Advanced control

Targets:•Machine and process level•Sensor data•Advanced control

Obj.FoF-1 Process optimisations of Manufacturing assets (Extra-plant manufacturing)

Scopea)R&I Actions: Large projects, 100% EU funding

Collaborative and agile manufacturing

•Need: CPS/Cloud to master supply network complexity

•Actions: development of collaborative tools that allow data sharing and synchronisation of business processes across the supply chain – particular focus on cloud enabled service platforms that allow data sharing without knowledge sharing / covering end-to-end integration of entire manufacturing processes and supply networks.

b)Coordination and Support Actions

•Concepts for a European smart specialisation strategy in manufacturing building on the model of virtual value chain

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Obj.FoF-1 Process optimisations of Manufacturing assets (Extra-plant manufacturing)

Scopea)R&I Actions: Large projects, 100% EU funding

Collaborative and agile manufacturing

•Need: CPS/Cloud to master supply network complexity

•Actions: development of collaborative tools that allow data sharing and synchronisation of business processes across the supply chain – particular focus on cloud enabled service platforms that allow data sharing without knowledge sharing / covering end-to-end integration of entire manufacturing processes and supply networks.

b)Coordination and Support Actions

•Concepts for a European smart specialisation strategy in manufacturing building on the model of virtual value chain

Expected Impact:

Reduced complexity of production systems by at least an order of magnitude through an interoperable de-centralised architecture approach and interoperability frameworks.

Productivity increase of about 30% through the enhanced utilisation of resources and information taking a holistic view in a collaborative value chain.

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Targets:•Data sharing•Integration across the value chain

Targets:•Data sharing•Integration across the value chain

Obj.FoF-1 Process optimisations of Manufacturing assets (Laser-based manufacturing)

Scopea)R&I Actions: Small projects, 100% EU funding

Towards zero-failure laser-based manufacturing (highlydynamic):

•Need: Fast & accurate process monitoring systems feedback control

•Actions: development of (in-line) process monitoring sensors, measurement and non-destructive testing tools including the related high speed data processing and reduction.

•include validation/demonstration elements

•involve stakeholders covering the whole value chain.

a)Coordination and Support Actions

•Concept and roadmap building in relation to smart and safe workspaces for laser-based manufacturing.

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Obj.FoF-1 Process optimisations of Manufacturing assets (Laser-based manufacturing)

Scopea)R&I Actions: Small projects, 100% EU funding

Towards zero-failure laser-based manufacturing (highlydynamic):

•Need: Fast & accurate process monitoring systems feedback control

•Actions: development of (in-line) process monitoring sensors, measurement and non-destructive testing tools including the related high speed data processing and reduction.

•include validation/demonstration elements

•involve stakeholders covering the whole value chain.

a)Coordination and Support Actions

•Concept and roadmap building in relation to smart and safe workspaces for laser-based manufacturing.

Expected Impact:

Strengthened market position of European producers of laser-based manufacturing equipment, their suppliers and of the users of the equipment.

Reinforced capacity to manufacture high-quality and innovative products and to penetrate new application areas

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Targets:•Laser equipment and process at machine level•Sensors data, feedback control

Targets:•Laser equipment and process at machine level•Sensors data, feedback control

Modelling, simulation, analytics & forecasting

CAx

CAD

CAMCAPPCAE (CFD, FEA,

…)

DMU

Virtual Training

©Courtesy DFKI 2013

Product Planning

Product Design

Production Planning Ramp-up Production Use of

Product Service

Digital Factory

Obj.FoF-8: Simulation & Tools

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• Key role of SMEs in value chains: users and suppliers

• SME need more than €s• 150 application experiments

along value chains clustered • Clustered around networks

of competence centres• Open Calls for experiments

during course of projects

Obj. FoF9 I4MS: ICT Innovation I4MS – Phase II for Manufacturing SMEs

www.i4ms.eu/

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• Key role of SMEs in value chains: users and suppliers

• SME need more than €s• 150 application experiments

along value chains clustered • Clustered around networks

of competence centres• Open Calls for experiments

during course of projects

Obj. FoF9 I4MS: ICT Innovation I4MS – Phase II for Manufacturing SMEs

www.i4ms.eu/

New areas for the Innovation actions:

•Highly flexible and near-autonomous robotics systems

•HPC Cloud-based modelling, simulation and analytics for multiple interconnected phenomena

•Integration of CPS in manufacturing processes for process surveillance and maintenance

New areas for the Innovation actions:

•Highly flexible and near-autonomous robotics systems

•HPC Cloud-based modelling, simulation and analytics for multiple interconnected phenomena

•Integration of CPS in manufacturing processes for process surveillance and maintenance

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Events

6-8 Oct. : Manufuture 2013, Vilnius, Lithuania, Work Programme

29-30 Oct.: Workshop Cyber Physical Systems # CPS for Manufacturing (1 day session)

6-8 Nov.: ICT in H2020 Launch Conference, Vilnius, Lithuania, Work Programme publication

16-17 Dec. : PPP FoF-SPIRE Info Days in Brussels

11 Dec 2013: Horizon 2020 publication of first calls

11 March 2014 Possible Deadline of first FoF Call

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5 reasons to join: Cont'd effort on clustering / Networking Sessions

Focus on Horizon 2020 work programme

ICT results exposed (Exhibition area)

~4000 researchers, innovators, entrepreneurs, industry representatives, young people and politicians Conference, investment forum, networking sessions, exhibition, young researchers

ICT 2013 Conference in Vilnius

http://ec.europa.eu/digital-agenda/en/ict-2013

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THANK YOU THANK YOU

DG CONNECT (FoF on DAE Web): https://ec.europa.eu/digital-agenda/en/smart-manufacturing

Horizon 2020 on the web: http://ec.europa.eu/research/horizon2020/index_en.cfm

Factories of the Future (FoF) on the web: http://ec.europa.eu/research/industrial_technologies/lists/factories-of-the-future_en.html

[email protected]

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