工业工程 ›› 2013, Vol. 16 ›› Issue (2): 53-58.

• 专题论述 • 上一篇    下一篇

一类新的供应链超网络设计模型及其网络转化方法

  

  1. 1.西南交通大学 交通运输与物流学院,四川 成都 610031; 2.西南科技大学 经济管理学院,四川 绵阳  621010
  • 出版日期:2013-04-30 发布日期:2013-06-08
  • 作者简介:甘蜜(1984-),女,湖南省人,讲师,博士,主要研究方向为供应链网络优化、网络流算法、超网络.
  • 基金资助:

    中央高校基本科研业务创新基金资助项目

A Novel Supply Chain Super-Network Design Model and Network Conversation Method

  1. 1.College of Transportation and logistics, Southwest Jiaotong University, Chengdu 610031, China; 
    2. Department of Logistics Management, Southwest University of Science and Technology, Mianyang 621010, China
  • Online:2013-04-30 Published:2013-06-08

摘要: 供应链网络整体结构的设计问题越来越得到重视,现实社会中的供应链网络是非常复杂的,这样的网络属于超网络范畴。通过对这一复杂网络多层特征和多维特征的分析,供应链超网络设计问题整合考虑交通网络规划和物流需求时间维度来进行优化,先给出了其超网络拓扑结构;开发了相应的平面超网络转化方法。在上述研究的基础上,构建了等效的数学优化模型。此类优化模型更为符合现实,随机生成数据开展的实验表明模型具有很强的适用性和有效性。

关键词: 供应链网络设计, 超网络, 遗传算法

Abstract: The overall network design problem for supply chain has been gaining more and more attention. The realistic supply chain network is remarkably comprehensive. Such a network is of super-network scope. After analyzing the multi-layer and multi-dimension properties of such a comprehensive network, it shows that the transportation network planning and logistics time demand should be integrated into supply chain super-network design. Based on the analysis, the topology for the super-network is proposed. Then, corresponding brief network conversation methods are developed. Subsequently, the equivalent mathematic models are given. This obtained optimization model is realistic. The feasibility and effectiveness of the model are proved by numerical testing with randomly generated data.

Key words: supply chain network design, supernetwork, genetic algorithms