可持续闭环供应链网络设计的多目标模糊规划问题  

Multi-objective fuzzy programming for sustainable closed-loop supply chain network design

作　　者：张鑫 赵刚[1] 李伯棠 ZHANG Xin;ZHAO Gang;LI Bo-tang(College of Transport&Communications,Shanghai Maritime University,Shanghai 201306,China)

机构地区：[1]上海海事大学交通运输学院,上海201306

出　　处：《控制理论与应用》2020年第3期513-527,共15页Control Theory & Applications

基　　金：上海海事大学研究生拔尖创新人才培养项目(2019YBR016)资助.

摘　　要：为解决不确定条件下可持续闭环供应链网络设计的问题,以成本和环境影响最小、社会影响最大为目标,建立带有模糊参数的多目标闭环供应链网络规划模型.首先采用Me测度处理相关模糊目标和参数,并运用加权增广Epsilon-约束方法解决多目标问题,在此基础上设计一种基于[0, 1]随机数的双层编码遗传鲸鱼(GA–WOA)混合算法进行求解,然后构造多个不同规模算例,将混合算法求解结果与CPLEX、遗传算法的求解结果进行对比,结果证明该编码方式和混合算法具有合理性.最后针对模型的多个参数变化进行分析,以验证所建模型的可行性.In order to solve the problem of sustainable closed-loop supply chain network design under uncertainty,a multi-objective closed-loop supply chain network optimization model with fuzzy parameters was established with the objective of minimizing cost and environmental impact and maximizing social impact. Firstly, Me fuzzy measure is used to cope with the fuzzy objectives and parameters, then the weighted augmented Epsilon-constrained method is employed to solve the multi-objective problem. On this basis, a genetic-whale(GA–WOA) hybrid algorithm based on [0,1] random number is designed to solve the problem, afterward, several different scale examples are constructed, then the results of the hybrid algorithm are compared with the results of CPLEX and genetic algorithm. The results show that the coding method and the hybrid algorithm are reasonable. Finally, variations of multiple parameters of the model are analyzed to verify the feasibility of the model.

关 键 词：可持续性 供应链 网络设计 模糊规划 遗传算法 鲸鱼优化算法 

分 类 号：F274[经济管理—企业管理] X22[经济管理—国民经济]