Despite the multiple advantages of products remanufacturing, being widely recognised as an effective means for transitioning to a more circular economy, there is still need for improved research and experimental observations, to improve traceability and reliability of the final products from end-users’ perspectives, as well as enhanced impacts monitoring.

The primary R3-Mydas objective is to develop a multi-actor framework, integrating innovative digital technologies (ML for process and quality control, marketplace, graph models for defects detection, digital twins), advanced mechatronics (AM, laser-cladding, automated disassembly/reassembly) and newly developed approaches from SSH (extended TAM/UTAUT models, ethics and legal framework), for functionally, environmentally and economically sustainable circular value chains for remanufacturing of energy goods at the factory level (Oil&Gas crankshafts – demo 1, E-vehicles batteries– demo 2, Wind turbines gearboxes – demo3).

R3-Mydas will deliver unprecedented impacts throughout the targeted value chains, as follows:

• up to 60% time reduction in programming for remanufacturing;
• up to 20% increased product quality; up to 30% rework reduction [Demo 1];
• up to 30% improved detection of tiny deviations from normal behaviour;
• up to 50% faster anomaly localization;
• up to 30% increase the number of different modality data streams handled;
• up to 20% faster fusion process [Demo 2];
• up to 99% reusage rate;
• -90% prevention rate;
• -75% lead time;
• up to 85% raw material savings potential [Demo 3].

The Project will deliver a marketplace associating to each remanufactured product or services/component for remanufacturing a Digital Passport-like set of information, ensuring full traceability.

Finally, a dedicated training programme will be designed and delivered by EITM, targeting the Project remanufacturing value chains (100+ training hours and 100+ diverse stakeholders engaged during the Project).