
SEMAKU BV
SEMAKU BV
2 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2026Partners:UNIVERSITY OF APPLIED SCIENCES, University of Groningen, DAC.DIGITAL JOINT-STOCK COMPANY, SKANDINAVISKA ENSKILDA BANKEN AB, TU/e +90 partnersUNIVERSITY OF APPLIED SCIENCES,University of Groningen,DAC.DIGITAL JOINT-STOCK COMPANY,SKANDINAVISKA ENSKILDA BANKEN AB,TU/e,IECS,FHG,Soraluce,Harokopio University,IFD,AITIA International Zrt.,SMART CONTROL SYSTEMS AND SOFTWARE JOINT STOCK COMPANY,THALES,RSA FG,BMW GROUP,Latvian Academy of Sciences,ZELOSPLANT INDOOR SOLUTIONS GMBH,Pfeiffer Vacuum (France),KAI,University of Hagen,Fabmatics (Germany),UNIPD,MULTIVERSE COMPUTING SL,MULTIVERSE COMPUTING SL,ZELOSPLANT INDOOR SOLUTIONS GMBH,AIT,SEMAKU BV,FOUNDATION FOR RESEARCH AND TECHNOLOGYHELLAS,BUTE,STATWOLF DATA SCIENCE,Ibermática (Spain),AITIA International Zrt.,RSA FG,Luleå University of Technology,TTTECH INDUSTRIAL AUTOMATION AG,University of Hagen,IDEKO,Soraluce,VIF,Harokopio University,TÜBİTAK,Husqvarna (Sweden),VIF,KAI,NXP (Netherlands),MELOTEC,IDEKO,Infineon Technologies (Austria),SYSTEMA,STREAM ANALYSE SWEDEN AB,BMW (Germany),THALES,IPH,DAC.DIGITAL JOINT-STOCK COMPANY,CISC Semiconductor (Austria),Zittau/Görlitz University of Applied Sciences,Fabmatics (Germany),Infineon Technologies (Austria),SAVVY DATA SYSTEMS SL,Infineon Technologies (Germany),PCL,GOIMEK,UNIVERSITY OF APPLIED SCIENCES,WU,Zittau/Görlitz University of Applied Sciences,GOIMEK,NXP (Netherlands),FOUNDATION FOR RESEARCH AND TECHNOLOGYHELLAS,HUSQVARNA,STREAM ANALYSE SWEDEN AB,IPH,TÜBİTAK,CISC Semiconductor (Austria),SEMAKU BV,AI DIGI+ SOLUTIONS GMBH,TUD,SYSTEMA,SMART CONTROL SYSTEMS AND SOFTWARE JOINT STOCK COMPANY,Gdańsk University of Technology,CETTO KUNSTSTOFFVERARBEITUNG GMBH,Infineon Technologies (Germany),Signify Netherlands BV,University of Lübeck,SKANDINAVISKA ENSKILDA BANKEN AB,Ibermática (Spain),TTTECH INDUSTRIAL AUTOMATION AG,UPM,AI DIGI+ SOLUTIONS GMBH,Pfeiffer Vacuum (France),IFD,STATWOLF DATA SCIENCE,SAVVY DATA SYSTEMS SL,PCL,Signify Netherlands BV,LFOUNDRY SRLFunder: European Commission Project Code: 101112089Overall Budget: 70,423,600 EURFunder Contribution: 17,777,800 EURAIMS5.0, a collaborative Innovation Action aims at strengthening European digital sovereignty in comprehensively sustainable production, by adopting, extending and implementing AI-enabled hardware and software components and systems across the whole industrial value chain to further increase the overall efficiency. Vulnerability of existing supply chains in crisis shows the need for shorter supply chains and for keeping production in Europe. AI enabled fabs will be given more output and higher sustainability, which makes them more competitive on a global scale. New technologies from IoT and based on semantic web ontologies, ML and AI will help to enable the transformation from Industry4.0 to Industry5.0, to create human-centric workplace conditions and to enable the transformation of European industry to climate-friendly production. Above all, sustainability and resilience will be improved. In essence, AIMS5.0 will deliver: - AI-enabled electronic hardware components & systems for sustainable production - AI tools, methods & algorithms for sustainable industrial processes - SoS-based architectures & micro-services for AI-supported sustainable production - Semantic modelling & data integration for an open access productive sustainability platform - Acceptance, trust & ethics for explainable industrial AI leading to human-centered sustainable manufacturing 20 use cases in 9 industrial domains resulting in high TRLs will validate the project’s findings in an interdisciplinary manner. A professional dissemination, communication, exploitation and standardisation will ensure the highest impact possible. For the first time a joint approach for implementing AI and AI-enabled hardware will be developed that overarches different industrial domains. AIMS5.0 will result in lower manufacturing costs, increased product quality through AI-enabled innovation, decreased time-to-market and increased user acceptance of versatile technology offerings. They will foster a sustainable development, in an economical, ecological and societal sense and act as enablers for the Green Deal and push the industry towards Industry5.0. The innovations will leverage the experience of the 53 partners, such as renowned OEMs, Tier-1 and Tier-2 suppliers, technology and application large enterprises and SMEs, supported by academic research specialists in fields like AI, industrial hard-ware and software, decision making and management algorithms. Specific outcomes of the project are - 20% faster time to market, - Participation of disabled people in the factory environment > 5% (in relation to the total number of employees employed in production), - AI based MES capability > 10 %, - Increased user awareness and trust by 10%, - Subsequent reduction of environmental footprint for wafer transport, handling and storage > 20 %, - 50% reduction of time for monitoring industrial equipment. AIMS5.0 is a pan-European initiative to boost industrial competitiveness through interdisciplinary innovations, establishing sustainable ECS value chains and therefore contribute to European Digital Sovereignty addressing urgent issues like Security of Supply, Monitoring and Crisis Response, and Chip Shortage.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_____he::fffcc33643c5831b3c380273221aeabd&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda_____he::fffcc33643c5831b3c380273221aeabd&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.euOpen Access Mandate for Publications and Research data assignment_turned_in Project2020 - 2023Partners:TNO, VW AG, BALTIK VAIRAS, Sisteplant (Spain), TECNALIA +27 partnersTNO,VW AG,BALTIK VAIRAS,Sisteplant (Spain),TECNALIA,UŚ,TECNALIA,TNO,FERSA BEARINGS, SA,FLEXIS AG,FLEXIS AG,DFKI,AIMEN,BALTIK VAIRAS,VDL INDUSTRIAL MODULES,SCM GROUP SPA,VDL INDUSTRIAL MODULES,University of Patras,SEMAKU BV,SCM GROUP SPA,AIMEN,UŚ,D.M.D. COMPUTERS SRL,CASP S.A.,KSTP,SEMAKU BV,Viesoji Istaiga Domus Solis,CASP S.A.,FERSA BEARINGS, SA,D.M.D. COMPUTERS SRL,VW AG,Sisteplant (Spain)Funder: European Commission Project Code: 957204Overall Budget: 5,973,080 EURFunder Contribution: 5,973,080 EUREuropean industry has been very competitive on the global markets by utilizing highly efficient Artificial Intelligence (AI) tools and massively producing high quality products. The advent for mass customization has been stressing the capability of modularization and flexibility of production processes through the incorporation of AI technologies. However, the communication between the different automation systems has not been yet accomplished efficiently since they lack interoperability and are restricted to their own system of coordination. The MAS4AI proposal proposes a system that allows the deployment and synchronization of different AI agents in manufacturing for autonomous modular production and human assistance. The MAS4AI system will be heavily driven by large industrial cases and will aim towards digitalising European industry with AI tools according to the Industry 4.0 paradigm. MAS4AI will develop its overall ambition by the means of four Scientific and Technological objectives namely: a) Multi-Agents-System (MAS) for distributing AI components in different hierarchy layers, customers and suppliers for realising refurbishment activities, b) AI agents using Knowledge-based Representation with Semantic Web Technologies, c) AI Agents for hierarchical planning of production processes, d) model-based Machine Learning (ML) AI agent. MAS4AI research and technological activity will be strongly driven by a set of industrial use cases which will be then used as demonstrators. The demonstrators involve important industrial sectors of high value added for Europe, namely AI technologies used for automotive, contract manufacturing, bicycle industry, bearings production and wood processing industry.
All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda__h2020::33294cb0c9678340728b6ce6d02157f4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eumore_vert All Research productsarrow_drop_down <script type="text/javascript"> <!-- document.write('<div id="oa_widget"></div>'); document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=corda__h2020::33294cb0c9678340728b6ce6d02157f4&type=result"></script>'); --> </script>
For further information contact us at helpdesk@openaire.eu