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基于B2C环境的物流配送模型改进 被引量:6

The Research of Optimizing Physical Distribution Model Based on the B2C Environment
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摘要 以B2C电子商务企业为背景,结合实际的物流配送网络,对原有的有时间窗约束但顾客不能被多次访问的物流配送模型进行优化,建立了有时间窗约束顾客可被多次访问的物流配送模型,通过仿真案例表明多次访问的物流配送模型要比顾客不能多次访问的模型所需的配送费用要少,从而验证了有时间窗顾客可多次访问的物流配送模型更能适应电子商务环境。 This article takes the B2C electronic commerce enterprise as a background, combines with the actual logistics network, and optimizes the original model that has time window constraint but can't be visited many times by customers, then establishes the logistics model that has time window constraint and can be visited many times by customers. Through the simulation case, it indicated that the distribution cost of the model witch can be visited many times is less than that of witch can't be visited many times. So the model that has time window and can be visited many times is more suitable for the environment of E-Commerce.
作者 常亚平 吕彪
出处 《工业工程与管理》 2008年第4期43-48,共6页 Industrial Engineering and Management
关键词 电子商务 物流配送 车辆路径优化调度问题 遗传算法 E-commerce physical distribution VRP genetic algorithm
作者简介 常亚平(1963-),男,河南湘县人,教授,主要研究方向为战略管理、市场营销、电子商务。
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参考文献7

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