A multi-commodity location-inventory problem in a closed-loop supply chain with commercial product returns

被引：19

作者：

Guo, Hao ^{[1
,6
]}

Zhang, Ying ^{[2
]}

Zhang, Chunnan ^{[3
]}

Zhang, Yidong ^{[4
]}

Han, Zixin ^{[5
]}

机构：

[1] Guangdong Univ Finance & Econ, Sch Business Adm, Guangzhou, Guangdong, Peoples R China

[2] SUNY Buffalo, Dept Ind & Syst Engn, Buffalo, NY USA

[3] Temple Univ, Dept Accounting, Philadelphia, PA 19122 USA

[4] Alibaba Grp, Hangzhou, Zhejiang, Peoples R China

[5] Georgia Inst Technol, Sch Ind & Syst Engn, Atlanta, GA 30332 USA

[6] Jinan Univ, Sch Management, Guangzhou, Guangdong, Peoples R China

来源：

INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH | 2020年 / 58卷 / 22期

关键词：

location-inventory problem; closed-loop supply chain; reverse logistics; commercial product returns; differential evolution; heuristics; REVERSE LOGISTICS; CUSTOMER RETURNS; ALGORITHM; NETWORK; MODEL;

D O I：

10.1080/00207543.2019.1686186

中图分类号：

T [工业技术];

学科分类号：

08 ;

摘要：

Commercial product returns represent a growing financial and operational concern for many firms, and they consist of true and false failure returns in the real-world business. This paper studies a joint location-inventory problem in a closed-loop system by considering multi-commodity flows and commercial product returns. First, this problem is formulated as a mixed-integer nonlinear programming model. Next, a novel heuristic method based on differential evolution is designed to solve this model efficiently. Finally, numerical experiments and results are presented to validate the solution approach and provide meaningful managerial insights for business managers to improve their supply chain practice in a closed-loop system with false failure returns.

引用

页码：6899 / 6916

页数：18

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