Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models—A Survey

Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models—A Survey

As a key strategy for achieving a circular economy, remanufacturing involves bringing end-of-use (EoU) products or cores back to a ‘like new’ condition, providing more affordable and sustainable alternatives to new products. Despite the potential for substantial resources and energy savings, the ind...

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Bibliographic Details
Main Authors: Yong Han Kim, Wei Ye, Ritbik Kumar, Finn Bail, Julia Dvorak, Yanchao Tan, Marvin Carl May, Qing Chang, Ragu Athinarayanan, Gisela Lanza, John W. Sutherland, Xingyu Li, Chandra Nath
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Algorithms
Subjects:
remanufacturing
circular economy
machine learning
data-driven models
sustainability
Online Access:https://www.mdpi.com/1999-4893/17/12/562
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