交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (2): 184-191.

• 系统工程理论与方法 • 上一篇    下一篇

具有随机供需特征的物流超网络优化模型研究

彭永涛,张 锦*,王 坤   

  1. 西南交通大学交通运输与物流学院,成都610031
  • 收稿日期:2013-09-26 修回日期:2013-12-06 出版日期:2014-04-25 发布日期:2014-07-07
  • 作者简介:彭永涛(1986-),男,河北邯郸人,博士生.
  • 基金资助:

    国家社科基金资助项目(11BJL054)

Logistics Supernetwork Optimization Model with Stochastic Supply and Demand Characteristics

PENG Yong-tao, ZHANG Jin, WANG Kun   

  1. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu610031, china
  • Received:2013-09-26 Revised:2013-12-06 Online:2014-04-25 Published:2014-07-07

摘要:

为了能向日益复杂的物流需求提供针对性的物流服务,本文构造了物流供需超 网络,分析了其结构特征,考虑需求网络中的随机需求特性和供给网络中的供给能力随 机变化特点,以及物流活动带来的货损情况,运用供需匹配思想,以商品的需求和供给为 变量,货损及供给能力为约束条件,建立随机供需特征的超网络模型.将模型转换为变分 不等式,并设计了基于改进的欧拉算法的求解方法.算例计算分析表明,以需求网络中每 条通道的物流广义费用去优化设计物流供给方案,可提高物流服务质量,降低物流运作 成本,而供给能力不确定与货损直接影响了供给网络与需求网络之间的匹配程度.

关键词: 物流工程, 超网络, 供需匹配, 随机性, 变分不等式

Abstract:

For providing increasingly complex logistics demand with specific logistics services, the structure characteristic of logistics superntwork is analyzed. The stochastic characteristics of demand network, stochastically changed of supply capacities under different conditions of facilities, and damage of product by operating on the supply network is considered. Using the idea of matching supply and demand, the supply and demand characteristics of the supernetwork model is established with the commodity supply and demand as variables, while damage and supply capacity as constraint conditions. The model is converted into a variational inequality, and design a solving method based on the modified euler algorithm. Though the numerical example, logistics supply program is optimized according to logistics demand of the links in the demand network, then it should provide quality of service and reduce cost of operation, as well as the uncertainty of supply capacity and the damage directly influence degree of match between supply and demand network.

Key words: logistics engineering, supernetwork, supply-demand matching, stochastic, variational inequalities

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