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MARS

Financiado

Cerrado

Manufacturing Architecture for Resilience and Sustainability

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 w... ver más

31/12/2026

ENSAM

5M€

Presupuesto del proyecto: 5M€

Líder del proyecto

ECOLE NATIONALE SUPERIEURE DARTS ET METIERS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Fecha límite participación Sin fecha límite de participación.

Financiación concedida El organismo HORIZON EUROPE notifico la concesión del proyecto el día 2023-01-01

HORIZON-CL4-2022-TWIN-TRANSITION-01-06: ICT Innovation for Manufacturing Su...

I+D

Cerrada hace 55 años

0% 100%

Información adicional privada

No hay información privada compartida para este proyecto. Habla con el coordinador.

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ENSAM

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Duración del proyecto: 47 meses Fecha Inicio: 2023-01-01
Fecha Fin: 2026-12-31

Líder del proyecto

ECOLE NATIONALE SUPERIEURE DARTS ET METIERS No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Presupuesto del proyecto 5M€

Fecha límite de participación Sin fecha límite de participación.

Descripción del proyecto 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.

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