考虑客户分级的冷链物流多温共配车辆路径优化  

Vehicle Routing Optimization in Cold Chain Logistics Multi-temperature Co-distribution Considering Customer Classification

作　　者：未来 刘翱[1,2] 邓旭东[1,2] 任亮 彭琨琨 艾学轶 WEI Lai;LIU Ao;DENG Xudong;REN Liang;PENG Kunkun;AI Xueyi(Evergrande Management School,Wuhan University of Science&Technology,Wuhan 430081;Center for Service Science&Engineering,Wuhan University of Science&Technology,Wuhan 430081,China)

机构地区：[1]武汉科技大学恒大管理学院,湖北武汉430081 [2]武汉科技大学服务科学与工程研究中心,湖北武汉430081

出　　处：《物流技术》2023年第3期67-71,160,共6页Logistics Technology

基　　金：国家自然科学基金青年项目(71901167);教育部人文社会科学研究规划基金项目(21YJAZH050);武汉市知识创新专项曙光计划项目(2022010801020317);武汉市知识创新专项基础研究项目(2022010801010301);中国物流学会、中国物流与采购联合会面上研究课题(2022CSLKT3-130)。

摘　　要：考虑客户分级的冷链物流多温共配车辆路径问题,结合软时间窗约束,依据多温共配特性对客户实施分级处理,建立以车辆运输成本、蓄冷箱成本和时间惩罚成本之和最小为目标的多温共配车辆路径优化模型,设计相应的单亲遗传算法对模型进行求解。实验结果表明,该模型能够引导企业优先服务重要客户,从而提高企业的竞争力。In view of the cold chain logistics multi-temperature co-distribution vehicle routing problem considering customer classification,we classified the customers under the soft time window constraint considering the characteristics of multi-temperature codistribution.Then,we established a vehicle routing optimization model for multi-temperature co-distribution with the goal of minimizing the sum of vehicle transportation costs,refrigeration box costs and time penalty costs,and designed the corresponding single parent genetic algorithm to solve it.Finally in connection with an example,we found that the established model could guide the enterprises to give priority to more important customers,thus improving their competitiveness.

关 键 词：冷链物流 多温共配 客户分级 软时间窗 车辆路径优化 单亲遗传算法 

分 类 号：F252.14[经济管理—国民经济] U16[交通运输工程]