Modified metaheuristic algorithms to design a closed-loop supply chain network considering quantity discount and fixed-charge transportation

作者：

Highlights：

• Applying quantity discount and transportation fixed cost together for the first time in a closed-loop supply chain.

• Application of eight basic and modified algorithms for the new NP-hard model.

• Application of Taguchi method to calibrate the proposed algorithms' parameters and operators.

• Development of a modified backtracking search algorithm and a modified differential evolution algorithm.

• Suggesting some meta-heuristic algorithms with considerably good performances.

摘要

•Applying quantity discount and transportation fixed cost together for the first time in a closed-loop supply chain.•Application of eight basic and modified algorithms for the new NP-hard model.•Application of Taguchi method to calibrate the proposed algorithms' parameters and operators.•Development of a modified backtracking search algorithm and a modified differential evolution algorithm.•Suggesting some meta-heuristic algorithms with considerably good performances.

论文关键词：Closed-loop supply chain,Modified metaheuristic algorithm,Quantity discount,Fixed-charge transportation,Taguchi method

论文评审过程：Received 11 August 2021, Revised 6 April 2022, Accepted 25 April 2022, Available online 28 April 2022, Version of Record 10 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117364