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

Yaping Ren, Xinyu Lu, Hongfei Guo (), Zhaokang Xie, Haoyang Zhang and Chaoyong Zhang
Additional contact information
Yaping Ren: School of Intelligent Systems Science and Engineering, 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
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

Mathematics, 2023, vol. 11, issue 2, 1-24

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.

Keywords: reverse logistics; remanufacturing; EOL product; combinational optimization (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/2227-7390/11/2/298/pdf (application/pdf)
https://www.mdpi.com/2227-7390/11/2/298/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jmathe:v:11:y:2023:i:2:p:298-:d:1027119

Access Statistics for this article

Mathematics is currently edited by Ms. Emma He

More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().