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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!

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

Similar Items