RECLAIM: Toward a New Era of Refurbishment and Remanufacturing of Industrial Equipment

Refurbishment and remanufacturing are the industrial processes whereby used products or parts that constitute product restored. Remanufacturing is process of restoring functionality a part it to “as-new” quality, whereas refurbishment itself “like-new” without being as thorough remanufacturing. Within this context, EU-funded project RECLAIM presents new idea on based big data analytics, machine learning, predictive optimization models using deep learning techniques digital twin with aim enabling stakeholders make informed decisions about whether remanufacture, upgrade, repair heavy machinery toward its end-of-life. The additionally provides novel strategies technologies enable reuse equipment in old, renewed, factories, goal saving valuable resources by recycling them different application, instead discarding after use. For instance, simulation engine order predict maintenance needs potential faults large equipment. This keeps virtual twins available store all information during lifetime machine, such operations, can be perform an economic estimation machine's costs. envisages developing aligned circular economy support model for management approaches end design life. aims reduce substantially opportunity cost retaining (both moneywise resourcewise) allowing relatively old faces prospect decommissioning reclaim functionalities role overall production system.