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.

Highlights

  • As a result of the accelerated pace of technological development and economic growth, the pace for product replacement keeps increasing, which leads to an exponential surge in the generation of waste products

  • The rest of this article is structured as follows: Section 2 introduces the previous review papers on reverse logistics and compares them with this paper; Section 3 is the introduction of the screening method; Section 4 analyses the models for reverse logistic network (RRLN) and summarizes several different types of networks; Section 5 reviews the mathematical models and the solution methods employed in the literature; Section 6 analyses the application of the cases in this paper; Section 7 summarizes this paper and puts forward the future research directions

  • With a focus on the network design section of remanufacturing reverse logistics, the number of articles analysed for review seems adequate and is consistent with the number of articles analysed in a recent literature review in the RL field

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Summary

Design and Model Optimization

Hubei Provincial Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, China

Introduction
Literature Review
Methodology
Material Collection
Descriptive Analysis
Network Structure
General Network Structure
Structure
Special Network Structure
Decision Variables
Objective Function
Constraints
Solution Method
Model Validation
Gaps and Research
Novel Structures in Networks
Different Elements in theElements
Product Type
Research Trends
Conclusions

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