RECLAIM: Toward a New Era of Refurbishment and Remanufacturing of Industrial Equipment
RECLAIM has published a new paper in the Frontiers in Artificial Intelligence.
RECLAIM presents a new idea on refurbishment and remanufacturing based on big data analytics, machine learning, predictive analytics, and optimisation models using deep learning techniques and digital twin models with the aim of enabling the stakeholders to make informed decisions about whether to remanufacture, upgrade, or repair heavy machinery that is toward its end-of-life.
This publication shows how the integration of RECLAIM technological solutions into industrial environments can lead to industries having an extra economic income from the extended lifetime of manufacturing systems and their components, which can be achieved by adopting refurbishment and remanufacturing solutions.
In the beginning of the paper, the related works on key aspects of refurbishment and remanufacturing in the manufacturing environment are presented along with the ambition and solutions proposed by the project. The usefulness of the integrated technological solution RECLAIM was analysed to prove that having RECLAIM technology available drastically increased efficiency, enhanced lifetime extension, and achieved high economic benefit and a significant step toward 100% reuse will be made.
The rest of the article is organised as follows. In section 2, the related work regarding key aspects that the RECLAIM project will face along with the proposed solutions dealing with these problems is analysed, whereas the conceptual architecture is presented in section 3. In section 4, the main components of the architecture are described in full, and,finally, in section 5, conclusions are drawn.