Imagine a high-tech clinic for old car parts where AI helps technicians decide exactly how to fix a component to make it like new. Instead of guessing, every part has a digital birth certificate that tracks its entire history and health. This ensures that refurbished parts are just as safe and reliable as brand-new ones, while using far less energy.
Remanufacturing is often slow and inconsistent because of a lack of data on used parts and manual inspection processes. This makes it difficult for companies to guarantee the quality of refurbished components at a large scale.
An AI-enabled blueprint and a six-phase factory workflow supported by a digital backbone linking Digital Twins and Digital Product Passports.
If you are a vehicle manufacturer dealing with high waste and expensive new part production — this project developed an AI-enabled blueprint that targets doubling remanufactured volumes compared to 2021 baselines. It provides a certified path to reuse components while reducing GHG emissions.
If you are a machinery refurbisher dealing with inconsistent part quality and manual triage — this project developed a six-phase factory workflow with human-in-the-loop AI. This allows you to scale high-quality remanufacturing to adjacent sectors beyond automotive.
If you are a circularity provider dealing with lack of traceability for used components — this project developed a digital backbone linking Digital Twins to the EU Digital Product Passport. This creates audit-ready evidence from intake to redeployment.
Based on available project data, the project uses integrated LCA/LCC to quantify circularity and decarbonisation, aiming to reduce energy and GHG per component.
Yes, the project includes a scale-out playbook to convert pilot proof into pilot-to-plant pathways and replication assessments.
Based on available project data, specific licensing terms are not provided, but the project contributes pre-normative assets and policy briefs to accelerate EU-wide uptake.
The system is designed to align with the Ecodesign for Sustainable Products Regulation (ESPR), Digital Product Passports (DPP), and Manufacturing Data Spaces.
The project runs from September 2026 to August 2029, with three pilot cycles intended to validate the approach.
The consortium is heavily industry-weighted with a 54% industry ratio (7 partners), including 4 SMEs. This balance suggests a strong focus on commercial viability, as 3 universities and 3 research centers provide the technical foundation while the majority of partners are focused on practical application across 9 countries.
University of Southampton
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