
APTIV ITALY
APTIV ITALY
1 Projects, page 1 of 1
Open Access Mandate for Publications and Research data assignment_turned_in Project2022 - 2025Partners:MSI, F6S IE, University of Patras, Vidrala, VW Autoeuropa +27 partnersMSI,F6S IE,University of Patras,Vidrala,VW Autoeuropa,VDL WEWELER BV,Induction,UPORTO,SONAE,AIMEN,INTRASOFT International,F6S IE,COMETA SPA,U-SENSE.IT SRL,TECNALIA,HABBER TEC,HABBER TEC,VW Autoeuropa,COMETA SPA,U-SENSE.IT SRL,Marche Polytechnic University,IPB,VDL WEWELER BV,TECNALIA,APTIV ITALY,INTRASOFT International,SONAE,AIMEN,APTIV ITALY,MSI,Vidrala,InductionFunder: European Commission Project Code: 101058673Overall Budget: 10,875,900 EURFunder Contribution: 8,268,150 EURThis project addresses the challenge of mfg industry to deliver high-quality products at the necessary production rates while minimizing waste and energy consumption, maximizing efficiency and ROI. openZDM project is an Innovation Action that will develop and demonstrate in 5 representative production lines an open platform designed to realize ZDM. The platform integrates advanced ICT solutions & innovative non-destructive testing, setting the foundations for an innovative solution applicable to a large variety of mfg industries. The 5 pilots represent the largest part of the EU's manufacturing sector, geographically (including plants in northern and southern areas of Europe), technologically (fully & semi automated, and manual processes) and from their value chain positioning (including Tier 1, Tier 2 suppliers, technology suppliers and OEMs). Furthermore, the choice of partners has been done considering strategic sectors for the green transition, in particular two energy intensive production processes (glass bottles, steel suspension arms), one process strategic for the electrification (production of batteries), one process consuming renewable materials (wood based panels) and one highly digitalized automotive assembly plant. The project aims to develop a digital platform that builds on the state-of-the-art RAMI 4.0 and Asset Administration Shell (AAS) to implement intra-factory quality management practices, applicable to these different production environments. In addition several non-destructive inspection (NDI) methods and data-driven quality assessment techniques are considered for online defect identification and quality assessment, distributed at various stages along the manufacturing line. Finally, the Digital Twin and the related services is a key enabling technology for online process adaptation & prediction/prevention of defects, to achieve waste reduction and improved efficiency, aiming to significantly improve the production sustainability of CPPSs.
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