ReCLAIM: AI-PoweRed Decision-Making Platform for Circular Lifecycle Extension of Machine Tools and components within Manufacturing industry

AIM

The project aims to extend the lifecycle of industrial machine tools by implementing a novel AI-powered decision-support system that evaluates the Remaining Exploitable Life (REL) of critical machine components. This enables informed decisions on selecting R-Strategies, as Reuse, Remanufacturing, Repair, Recycling, Retrofitting/ renovation, or Recovery strategies. The core innovation lies in developing a hybrid AI model, combining physics-based degradation modeling with data-driven machine learning techniques to predict the REL of key components, including total cost and environmental impact associated with different R-strategies.

This project has received funding from the European Union’s Horizon Europe research and innovation programme under grant agreement nº 101092295. This document reflects only the author’s view, and the European Commission is not responsible for any use that may be made of the information it contains.