ReCLAIM Project

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

KOFF: 2025-Oct02nd | 

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.