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)

Horizon 2020 Support to FoF cPPP under WP 2014/2015 ICT 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 2/16

Horizon 2020 Support to FoF cPPP under WP 2014/2015 ICT 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 2/16

EUR million Process optimisation of manufacturing assets FoF ICT-enabled modelling, simulation, analytics and forecasting technologies FoF ICT Innovation for Manufacturing SMEs (I4MS) FoF Call Planning Overall indicative budget: EUR 102 million from the year 2014 and 2015 budget Annual Calls --- all calls single stage evaluation Instruments: CP100: 100% of eligible costs CP70: 70% of eligible costs CSAs 3/16

LEIT ICT Supporting Europe's Manufacturing industries Direct Contribution to FoF PPP driven by EFFRA Roadmap WP 2014/15: 102M€ Total H2020: up to 450M€ Horizon 2020 Indirect Contribution to SPIRE PPP and their SRA Photonics21 PPP euRobotics PPP ECSEL Joint Undertaking... 4/16

Laser-based manufacturing RoboticsModelling, Simulation, Analytics Cyber-physical systems for process (chain) optimisation Innovative ICT makes the difference EU Suppliers are World Market Leaders 5/16

ICT Research in FP7 Smart Factories: Factories from Computers Process optimization through embedded ICT and real-time data processing A quantum leap of interoperability and configurability for 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 6/16

Process Chain Optimization Big Data, Simulation and Tools Innovation Pilots & SMEs Cyber Physical Systems – CPS, lasers 3 challenges in ICT WP2014/5 Advanced Computing Innovation WP2015 WP2014 7/16

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 8/16

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 8/16

Obj.FoF-1 Process optimisations of Manufacturing assets (Intra-plant manufacturing) Scope a)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 Consensus building for a factory-wide interoperability framework for CPS engineering and manufacturing environments 9/16

Obj.FoF-1 Process optimisations of Manufacturing assets (Intra-plant manufacturing) Scope a)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 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. 9/16 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) Scope a)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 10/16

Obj.FoF-1 Process optimisations of Manufacturing assets (Extra-plant manufacturing) Scope a)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. 10/16 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) Scope a)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. b)Coordination and Support Actions Concept and roadmap building in relation to smart and safe workspaces for laser-based manufacturing. 11/16

Obj.FoF-1 Process optimisations of Manufacturing assets (Laser-based manufacturing) Scope a)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. b)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 11/16 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 CAM CAPP CAE (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 12/16

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 13/16

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 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 13/16

Events 6-8 Oct. : Manufuture 2013, Vilnius, Lithuania, Work Programme Oct.: Workshop Cyber Physical Systems # CPS for Manufacturing (1 day session) 6-8 Nov.: ICT in H2020 Launch Conference, Vilnius, Lithuania, Work Programme publication 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 14/16

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 -agenda/en/ict /16

THANK YOU DG CONNECT (FoF on DAE Web): Horizon 2020 on the web: Factories of the Future (FoF) on the web: future_en.html 16/16