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A Review of Combinatorial Optimization Problems in Reverse Logistics and Remanufacturing for End-of-Life Products

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  • Yaping Ren

    (School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai 519070, China
    Institute of Physical Internet, Jinan University, Zhuhai 519070, China
    GBA and B&R International Joint Research Center for Smart Logistics, Jinan University, Zhuhai 519070, China)

  • Xinyu Lu

    (School of Management, Jinan University, Guangzhou 510632, China)

  • Hongfei Guo

    (School of Intelligent Systems Science and Engineering, Jinan University, Zhuhai 519070, China
    Institute of Physical Internet, Jinan University, Zhuhai 519070, China
    GBA and B&R International Joint Research Center for Smart Logistics, Jinan University, Zhuhai 519070, China)

  • Zhaokang Xie

    (School of Management, Jinan University, Guangzhou 510632, China)

  • Haoyang Zhang

    (School of Management, Jinan University, Guangzhou 510632, China)

  • Chaoyong Zhang

    (State Key Lab of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan 430074, China)

Abstract

During the end-of-life (EOL) product recovery process, there are a series of combinatorial optimization problems (COPs) that should be efficiently solved. These COPs generally result from reverse logistics (RL) and remanufacturing, such as facility location and vehicle routing in RL, and scheduling, planning, and line balancing in remanufacturing. Each of the COPs in RL and remanufacturing has been reviewed; however, no review comprehensively discusses and summarizes the COPs in both. To fill the gap, a comprehensive review of the COPs in both RL and remanufacturing is given in this paper, in which typical COPs arising at the end of the product life cycle are discussed and analyzed for the first time. To better summarize these COPs, 160 papers published since 1992 are selected and categorized into three modules: facility location and vehicle routing in RL, scheduling in remanufacturing, and disassembly in remanufacturing. Finally, the existing research gaps are identified and some possible directions are described.

Suggested Citation

  • Yaping Ren & Xinyu Lu & Hongfei Guo & Zhaokang Xie & Haoyang Zhang & Chaoyong Zhang, 2023. "A Review of Combinatorial Optimization Problems in Reverse Logistics and Remanufacturing for End-of-Life Products," Mathematics, MDPI, vol. 11(2), pages 1-24, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:2:p:298-:d:1027119
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    References listed on IDEAS

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    1. Marcin Relich, 2023. "A Data-Driven Approach for Improving Sustainable Product Development," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    2. Housheng Duan & Jiayan Xu, 2023. "Remanufacturing and Product Recovery Strategies Considering Chain-to-Chain Competition and Power Structures," Sustainability, MDPI, vol. 15(10), pages 1-26, May.

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