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Active HORIZON European Commission

Manufacturing Architecture for Resilience and Sustainability

€5.14M EUR

Funder European Commission
Recipient Organization Ecole Nationale Superieure D'Arts Et Metiers
Country France
Start Date Jan 01, 2023
End Date Dec 31, 2026
Duration 1,460 days
Number of Grantees 12
Roles Coordinator; Participant; Third Party; Associated Partner
Data Source European Commission
Grant ID 101091783
Grant Description

European manufacturing SMEs represent a major pillar of the EU economy but, even though some of these SMEs are world’s champion in their own business area, they are still threatened by the lack of radical technical innovation as well as successive crises of their supply chains.

The MARS project aims to remedy to both issues by enabling SMEs to access advanced European breakthrough innovations in the field of AI-driven digital manufacturing processes and enter into process chains that are geographically distributed.

Specifically, by gathering diverse expertise coming from complementary European partners, MARS will develop Industry4.0 emerging technologies including digital twins of products, processes and machines, bio-intelligent production devices with local intelligence and high sensing coverage, central intelligence with fleet learning approaches, data-driven manufacturing process models from different sources, blockchain technology for data hashing, traceability and securitization, multi-agent based manufacturing planning, multi-criteria intelligent optimization of processes and resources especially addressing environmental footprint.

As a result, the impact of the project will lie into introducing radical flexibility in all different aspects of manufacturing processes, in particular by redefining the process route, raw material, resources, technology, throughput, manufacturing site, delivery date in no time, while keeping up with product’s requirements, proven product quality and sustainability of both processes and products.

By demonstrating its results on two case studies exhibiting advanced manufacturing processes (incl. homogeneous and heterogenous data), MARS will show how SMEs can decrease time delivery under difficult economical boundary conditions, while targeting ambitious energy-saving environmental objectives.

All Grantees

Ecole Nationale Superieure D'Arts Et Metiers; Noosware Bv; Rheinisch-Westfaelische Technische Hochschule Aachen; Asociacion de la Industria Navarra; Ethnicon Metsovion Polytechnion; Gioumpitek Meleti Schediasmos Ylopoiisi Kai Polisi Ergon Pliroforikis Etaireia Periorismenis Efthynis; Simula Research Laboratory As; Amvalor; Steinbeis 2I Gmbh; Sciences Et Techniques Industrielles de la Lumiere Sa; Inspire Ag Fur Mechatronische Produktionssysteme Und Fertigungstechnik; Konica Minolta Business Solutions Czech,Spol.Sro

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