LAPSE:2023.3175
Published Article
LAPSE:2023.3175
A Review on Remanufacturing Reverse Logistics Network Design and Model Optimization
Xumei Zhang, Bo Zou, Zhaohui Feng, Yan Wang, Wei Yan
February 22, 2023
Abstract
Remanufacturing has gained great recognition in recent years due to its economic and environmental benefits and effectiveness in the value retention of waste products. Many studies on reverse logistics have considered remanufacturing as a key node for network optimization, but few literature reviews have explicitly mentioned remanufacturing as a main feature in their analysis. The aim of this review is to bridge this gap. In total, 125 papers on remanufacturing reverse logistics network design have been reviewed and conclusions have been drawn from four aspects: (1) in terms of network structure, the functional nodes of new hybrid facilities and the network structure combined with the remanufacturing technologies of products are the key points in the research. (2) In the mathematical model, the multi-objective function considered from different aspects, the uncertainty of recovery time and recovery channel in addition to quantity and quality, and the selection of appropriate algorithms are worth studying. (3) While considering product types, the research of a reverse logistics network of some products is urgently needed but inadequate, such as medical and furniture products. (4) As for cutting-edge technologies, the application of new technologies, such as intelligent remanufacturing technology and big data, will have a huge impact on the remanufacturing of a reverse logistics network and needs to be considered in our research.
Keywords
model, network design, remanufacturing, reverse logistics, review
Suggested Citation
Zhang X, Zou B, Feng Z, Wang Y, Yan W. A Review on Remanufacturing Reverse Logistics Network Design and Model Optimization. (2023). LAPSE:2023.3175
Author Affiliations
Zhang X: School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430065, China; Hubei Provincial Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 4300
Zou B: School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430065, China
Feng Z: School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430065, China
Wang Y: School of Computing, Engineering & Maths, University of Brighton, Brighton BN2 4GJ, UK [ORCID]
Yan W: School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan 430065, China [ORCID]
Journal Name
Processes
Volume
10
Issue
1
First Page
84
Year
2021
Publication Date
2021-12-31
ISSN
2227-9717
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Original Submission
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PII: pr10010084, Publication Type: Review
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LAPSE:2023.3175
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https://doi.org/10.3390/pr10010084
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Feb 22, 2023
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