European Data as a PRoduct Value Ecosystems for Resilient Factory 4.0 Product and ProDuction ContinuitY and Sustainability

Información del proyecto

RE4DY

Identificador del acuerdo de subvención: 101058384

DOI

10.3030/101058384

Proyecto cerrado

Fecha de la firma de la CE 24 Mayo 2022

Fecha de inicio 1 Junio 2022

Fecha de finalización 30 Septiembre 2025

Financiado con arreglo a

• Digital, Industry and Space

Coste total

€ 9 502 277,14

Aportación de la UE

€ 7 991 699,00

Coordinado por

ASOCIACION DE EMPRESAS TECNOLOGICAS INNOVALIA
Spain

Periodic Reporting for period 2 - RE4DY (European Data as a PRoduct Value Ecosystems for Resilient Factory 4.0 Product and ProDuction ContinuitY and Sustainability)

Período documentado: 2023-12-01 hasta 2025-09-30

Resumen del contexto y de los objetivos generales del proyecto

The RE4DY project focuses on building resilient manufacturing ecosystems by establishing a unified framework for data sharing, digital twins, and connected factories. The main objectives include: 1) Developing a reference framework for data spaces and a legal framework for data ownership. 2) Increasing data autonomy via open-source toolkits for "Data as a Product" (DaaP). 3) Accelerating smart manufacturing with mutual trust and automated governance. 4) Providing an open Digital Twin Ops framework. 5) Democratizing industrial data via testing facilities (TEFs) and upskilling programs. 6) Executing large-scale trials in key sectors (automotive, batteries, aeronautics). 7) Maximizing impact through standardization and ecosystem expansion.

Trabajo realizado desde el comienzo del proyecto hasta el final del período abarcado por el informe y los principales resultados hasta la fecha

Over 40 months, RE4DY transitioned the DaaP paradigm from conceptual design to full-scale deployment.
Work Performed:

Frameworks (WP2): Consolidated the Digital 4.0 Continuum Reference Architecture (DCRA) bridging OT/IT. Developed the Active Resilience Framework and a techno-legal framework with machine-readable IP Rights ontologies.

Open Toolkit (WP3): Integrated sovereign data space connectors (Sovity EDC), Cognitive Digital Twins (xCDT) over 5G, and privacy-preserving Federated AI (FEDMA/ALIDA).

Large-Scale Pilots (WP4&5): Engineered solutions in Automotive (autonomous logistics), e-Batteries (collaborative digital twins), Machine Tooling (federated predictive maintenance), and Aeronautics (decentralized AI for Zero-Defect Manufacturing).

Skills (WP6): Applied the 6P methodology, identified 13 emerging profiles, and launched the RE4DY Academy (60 courses).

Main Achievements:

Defined 18 Key Exploitable Results (KERs), including 9 high-TRL commercial solutions.

Demonstrated up to a 50% reduction in layout planning times (AVL).

Proved the viability of secure B2B data sharing.

Drastically exceeded dissemination KPIs with 28 scientific publications (280% of target), 10 FAIR datasets, and 117 event participations.

Successfully achieved all 38 deliverables and milestones.

Avances que van más allá del estado de la técnica e impacto potencial esperado (incluida la repercusión socioeconómica y las implicaciones sociales más amplias del proyecto hasta la fecha)

RE4DY pushed the SotA by operationalizing theoretical concepts in real industrial settings:

Sovereign DaaP: Moved from centralized data lakes to decentralized, IDSA/Gaia-X compliant data sharing (Sovity Connector), allowing SMEs to share shop-floor data without losing trade secret sovereignty.

Privacy-Preserving AI: Replaced centralized AI training with Federated Learning (FEDMA/ALIDA), enabling collaborative model training across distributed plants without exchanging raw data.

5G Cognitive Digital Twins: Evolved static digital twins into dynamic, cross-facility xCDTs using Asset Administration Shells (AAS) over 5G, accelerating physical ramp-up by up to 50%.

Machine-Readable Legal Interoperability: Translated complex offline legal constraints (e.g. EU Data Act) into automated IP Rights Ontologies (IPRO) enforceable by Data Space connectors.

Operationalizing Active Resilience: Shifted supply chain resilience from theoretical risk-management to actionable daily KPIs via the Active Resilience Framework (Compass and Radar).