Imagine a digital matchmaking service for factories that want to fix and upgrade old machinery instead of throwing it away. It connects companies that have broken parts with experts who know how to make them like new again. This way, businesses can share tools and knowledge to save materials and reduce waste.
European manufacturers suffer from raw material shortages, volatile costs, and unpredictable delivery times. They need a way to reuse end-of-life products to meet zero-carbon goals and maintain competitiveness.
A digital platform featuring horizontal tools for supply-demand matching and vertical tools for shopfloor data integration and material traceability.
If you are a parts manufacturer dealing with raw material shortages and high costs — this project developed a digital platform that matches supply and demand for remanufacturing. This allows you to revitalize end-of-life components and reduce reliance on new materials.
If you are an equipment provider dealing with decarbonization goals and unpredictable delivery times — this project developed vertical tools for monitoring and traceability. This helps you implement functional upgrades on old energy infrastructure to extend its life.
If you are a tool producer dealing with expensive raw materials — this project developed a collaborative business model that lets multiple players work together. This enables SMEs to offer high-value remanufactured tools without needing all the equipment in-house.
Based on available project data, the specific pricing for the platform is not mentioned; however, it aims to establish a new business model for remanufacturing to boost competitiveness.
Yes, the project validates the model across five use cases in sectors like automotive and energy to demonstrate feasibility within a circular economy.
Based on available project data, the project focuses on secure data sharing and a collaborative community, but specific licensing terms are not detailed.
The platform uses vertical tools to integrate shopfloor and process data with advanced monitoring and prognostics tools.
The project runs from 2024-01-01 to 2026-12-31, with initial governance and communication structures already established.
The consortium is heavily industry-driven with a 60% industry ratio, comprising 15 industrial partners and 10 SMEs. This strong commercial presence, combined with 5 universities and 4 research centers across 7 countries, suggests the project is focused on practical application and market adoption rather than pure theory.
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