Collaborative multicenter reverse logistics network design with dynamic customer demands

作者：

Highlights：

• Optimize a collaborative multicenter vehicle routing problem with DCDs.

• Propose a bi-objective optimization model for the CMVRPTWDCD.

• Design a hybrid method with k-medoids clustering and ER-NSGA-III to solve the model.

• Conduct a practical case study to show the applicability of proposed approach.

• Implement a series of comparative analyses in different collaborative scenarios.

摘要

•Optimize a collaborative multicenter vehicle routing problem with DCDs.•Propose a bi-objective optimization model for the CMVRPTWDCD.•Design a hybrid method with k-medoids clustering and ER-NSGA-III to solve the model.•Conduct a practical case study to show the applicability of proposed approach.•Implement a series of comparative analyses in different collaborative scenarios.

论文关键词：Multicenter reverse logistics network design,Dynamic customer demands,Transportation resource sharing,Extended reference point-based non-dominated genetic algorithm- III,Collaborative alliance

论文评审过程：Received 5 March 2022, Revised 20 May 2022, Accepted 18 June 2022, Available online 24 June 2022, Version of Record 27 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117926