B2C电子商务中物流配送中心优化设计

在考虑物流配送中心建设规模的基础上,结合B2C电子商务企业顾客需求的特点, 利用分级聚类法模糊估计各个顾客的单位商品配送运输费用,建立了B2C电子商务中物流配送中心优化设计的数学模型.该模型属于混合0-1的模糊非线性规划模型,且具有NP难性质.为求解上述模型,首先将其进行清晰化转换,然后采用嵌入表上作业法的遗传算法求解.通过算例验证了模型和算法的有效性和可行性,为B2C电子商务企业物流配送中心的合理设计提供了新的思路.

Research on Optimal Design of Logistic Distribution Center for B2C E-Commerce

Based on the size of logistic distribution centers and the characteristics of what the customers demand for business-to customer (B2C) e-commerce companies, a mathematical model is developed to optimize the design of the distribution centers with a hierarchical agglomerative clustering method used to estimated the fuzzy cost of distribution transport from distribution centers to customers. The model is in fact a mixed 0-1 non-linear fuzzy programming model with NP-hard complexity. It is converted into a clearer one which is solved by a genetic algorithm developed in terms of embedded tabular operation. The effectiveness and feasibility of the model and algorithm are verified by an actual computational example, thus providing a new way for the rational design of distribution centers for B2C e-commerce companies.