东北大学学报（自然科学版）

东北大学学报(自然科学版) ›› 2005, Vol. 26 ›› Issue (8): 729-732.DOI: -

• 论著 • 上一篇    下一篇

B2C电子商务中物流配送中心优化设计

蒋忠中;汪定伟   

  1. 东北大学信息科学与工程学院;东北大学信息科学与工程学院 辽宁 沈阳 110004
  • 收稿日期:2013-06-24 修回日期:2013-06-24 出版日期:2005-08-15 发布日期:2013-06-24
  • 通讯作者: Jiang, Z.-Z.
  • 作者简介:-
  • 基金资助:
    国家自然科学基金资助项目(70431003)．

Research on optimal design of logistic distribution center for b2c e-commerce

Jiang, Zhong-Zhong (1); Wang, Ding-Wei (1)   

  1. (1) School of Information Science and Engineering, Northeastern University, Shenyang 110004, China
  • Received:2013-06-24 Revised:2013-06-24 Online:2005-08-15 Published:2013-06-24
  • Contact: Jiang, Z.-Z.
  • About author:-
  • Supported by:
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摘要： 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.

关键词: 电子商务, B2C, 物流, 配送中心, 分级聚类, 模糊规划, 遗传算法

Abstract: 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.

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