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供应链环境下带越库配送的多配送中心车辆路径问题
引用本文:葛显龙,邹登波. 供应链环境下带越库配送的多配送中心车辆路径问题[J]. 控制与决策, 2018, 33(12): 2169-2176
作者姓名:葛显龙  邹登波
作者单位:重庆交通大学经济与管理学院,重庆400074;智能物流网络重庆市重点实验室,重庆400074,重庆交通大学经济与管理学院,重庆400074
基金项目:国家自然科学基金项目(71502021,71602015);教育部人文社会科学基金项目(2014YJC630038,2015 XJC630007);博士后科学基金特别项目(2016T90862);重庆市基础与前沿研究项目(cstc2016jcyjA0160);重庆市教委人文社会科学研究项目(17SKG073);重庆市科学技术研究项目(KJ1500702).
摘    要:从零售业纵向供应链管理入手,考虑由供应商、零售商和多个配送中心构成的城市物流协同配送网络,研究带有越库配送的多配送中心车辆路径问题.分析越库配送的实施要求和操作准则,将配送过程分为集货、送货阶段.应对产品种类多样化需求,设置集货过程车辆协同作业返回配送中心,送货过程需求可拆分的运作机制.以最小化车辆运输成本和操作成本为目标,建立多配送中心车辆路径问题优化模型.针对模型特性设计改进遗传算法进行求解.最后通过仿真实例验证模型的可行性和算法的有效性, 结果表明,越库配送模式能有效服务城市区域零售门店的及时供货,在配送时间和运输成本方面具有显著优势.

关 键 词:越库配送  车辆路径问题  供应链管理  集送一体化  需求可拆分
收稿时间:2017-07-10
修稿时间:2018-09-21

Vehicle routing problem of multi-distribution centers with cross-docking in the supply chain
GE Xian-long and ZOU Deng-bo. Vehicle routing problem of multi-distribution centers with cross-docking in the supply chain[J]. Control and Decision, 2018, 33(12): 2169-2176
Authors:GE Xian-long and ZOU Deng-bo
Affiliation:School of Economics and Management,Chongqing Jiaotong University,Chongqing 400074,China;Key Laboratory of Intelligent Logistics Network,Chongqing 400074,China and School of Economics and Management,Chongqing Jiaotong University,Chongqing 400074,China
Abstract:Starting with the vertical supply chain management of retail enterprises, the urban logistics distribution network among suppliers, retailers and multi-distribution centers are taken into account, which is studied for the vehicle routing problem of multi-distribution centers with cross-docking. Based on the operating guidelines and implementing requirements of cross-docking, the cross-docking is divided into stages, namely, the pickup and delivery operation. The time simultaneous arrival and cooperation of the vehicle are set up, and the delivery process which can be split is designed to meet the supply needs of many types of products. The model of vehicle routing problem of multi-distribution centers with cross-docking is built with a minimum of operational cost and transportation cost. According to the characteristics of the model, an improved genetic algorithm is proposed. Finally, the feasibility and effectiveness are verified by simulation. The results show that the cross-docking can effectively serve the timely supply of urban retail stores, and have some significant advantages in terms of the delivery time and transportation cost.
Keywords:
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