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rEUman partners meet in Manisa to advance pilot integration and validation

At the beginning of July 2026, the rEUman consortium gathered in Manisa, Türkiye, for its fifth live meeting, hosted by project partner Beko. Over two days, consortium members worked together to advance the integration of the project's enabling technologies, validate solutions in a real industrial environment, and strengthen collaboration between technology developers, pilot owners, and research partners.

The meeting marked an important milestone, as it meant that all rEUman pilot sites had now been visited. The project will continue as the focus shifts from technology development to demonstration in operational reprocessing environments.

Advancing the digital remanufacturing factory

The first day focused on the integration of human-centric remanufacturing processes at factory level, digital models and technologies for cyber-physical remanufacturing factories, and digital solutions supporting remanufacturing across the circular value chain.

Partners discussed how the different methodologies and technologies developed throughout the project can be combined into a coherent remanufacturing ecosystem, ensuring seamless interaction between factory-level and value-chain-level solutions.

 

A highlight of the day was the visit to Beko's remanufacturing facilities, where consortium members gained first-hand insights into the company's washing machine remanufacturing operations, one of rEUman's five industrial pilot cases. The visit provided a detailed understanding of the business case, process chain, and production environment in which the project's innovations will be demonstrated.

Demonstrating technologies in a real industrial environment

 

The second day concentrated on the integration and validation of factory-level and value-chain solutions within the Beko pilot.

Meeting directly at the pilot site enabled partners to demonstrate their technologies under realistic operating conditions and fine-tune them together with the pilot owners. These practical demonstrations generated valuable technical discussions and ensured that the developed solutions continue to address industrial requirements.

One of the demonstrations was presented by partner CORE IC, which showcased its Reman Guidance System (RGS) within the Beko remanufacturing line. The AI-powered decision support system demonstrated how image- and sound-based inspections can support technicians in assessing returned washing machines, identifying defects, and evaluating products after repair. By providing explainable recommendations and supporting certified quality assessment, the system contributes to transparent and efficient quality assurance throughout the remanufacturing process.

Preparing the next phase of the project

Alongside the technical demonstrations, partners held a hybrid workshop dedicated to the project's industrial pilots. The session focused on refining the objectives of the pilot use cases, establishing a framework for continuous monitoring of their implementation, and revisiting the key performance indicators (KPIs) that will be used to evaluate the developed solutions.

By aligning pilot objectives, monitoring methodologies, and performance indicators, the consortium established a common basis for assessing progress and ensuring that the technologies developed within rEUman deliver measurable benefits in real industrial environments. These activities mark an important step towards the successful demonstration of smart, digitally enhanced, and human-centric remanufacturing across the project's pilot sectors.

Building on the successful integration activities in Manisa, the consortium now looks forward to the next stages of pilot implementation and demonstration, bringing rEUman's innovative solutions another step closer to industrial deployment across Europe.

Contact

Coordinator

Politecnico di Milano

POLIMI

prof. Marcello Colledani

Department of Mechanical Engineering Technology and Production Systems Lab

C&D Manager

META Circularity

Jurij Giacomelli

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This project has received funding from the European Union’s Horizon Europe research and innovation programme under Grant Agreement 101138930.

Funded by the European Union

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