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全渠道零售场景下配送车辆路径问题
引用本文:施天娇,杨斌,朱小林.全渠道零售场景下配送车辆路径问题[J].上海海事大学学报,2020,41(2):51-57.
作者姓名:施天娇  杨斌  朱小林
作者单位:上海海事大学物流科学与工程研究院,上海 201306;上海海事大学物流科学与工程研究院,上海 201306;上海海事大学物流科学与工程研究院,上海 201306
基金项目:国家自然科学基金(71471109)
摘    要:为研究全渠道零售的配送系统对企业物流成本的影响,综合考虑时间窗、车型选择等因素,以运输成本最低为目标,建立高度协同的全渠道零售场景下的物流配送模型。该模型采用自适应遗传算法求解,利用MATLAB进行算例分析。结果显示:全渠道零售模式下的车辆调度方案能迅速响应消费者需求,与一般配送模式相比可以减少物流成本,优化车辆配置。与粒子群优化算法相比,自适应遗传算法的运行时间更短、优化结果更好,这验证了模型和算法的可行性和有效性。

关 键 词:车辆路径问题(VRP)  自适应遗传算法  全渠道零售  协同配送  多车型调度
收稿时间:2019/3/17 0:00:00
修稿时间:2019/5/14 0:00:00

Distribution vehicle routing problem in omni channel retailing
shitianjiao,yangbin and zhuxiaolin.Distribution vehicle routing problem in omni channel retailing[J].Journal of Shanghai Maritime University,2020,41(2):51-57.
Authors:shitianjiao  yangbin and zhuxiaolin
Institution:shanghai maritime university,shanghai maritime university,shanghai maritime university
Abstract:In order to study the effect of the omni channel retailling distribution system on the logistics cost of enterprises, considering the factors of time window, vehicle type selection and so on, a highly coordinated logistics distribution model under the omni channel retailling is established with the objective of the minimum transportation cost. The model is solved by the adaptive genetic algorithm, and the example is analyzed by MATLAB. The results show that, the vehicle scheduling scheme under the omni channel retailing mode can quickly respond to consumer demand, and can reduce the logistics cost and optimize the vehicle configuration compared with the general distribution mode. Compared with the particle swarm optimization algorithm, the adaptive genetic algorithm is of shorter running time and better optimization results, which verifies the feasibility and effectiveness of the model and algorithm.
Keywords:vehicle routing problem (VRP)  adaptive genetic algorithm  omni channel retailing  joint distribution  vehicle scheduling with multiple vehicle types
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