工业工程 ›› 2012, Vol. 15 ›› Issue (4): 7-11.

• 专题论述 • 上一篇    下一篇

具有模糊时间窗的多模式联运建模及优化

  

  1. (1. 四川外语学院 国际商学院,重庆 400031;2. 重庆大学 工商管理学院,重庆 400044)
  • 出版日期:2012-08-31 发布日期:2012-09-19
  • 作者简介:熊桂武(1978-),女,四川省人,讲师,博士研究生,主要研究方向为第四方物流建模与优化.
  • 基金资助:

    国家自然科学基金资助项目(70872123);重庆市软课题资助项目(CSTC,2010CE0089);教育部人文社科资助项目(10YJC630299)

Modeling and Optimization of Multimodal Transportation  with Fuzzy Time Window

  1. (1.School of International Business, Sichuan International Studies University, Chongqing 400031, China; 
    2. School of Economics and Business Administration, Chongqing University, Chongqing 400044, China)
  • Online:2012-08-31 Published:2012-09-19

摘要: 以考虑用户偏好的模糊时间窗多式联运为研究对象,建立了基于图状结构的模糊时间多式联运模型。在分析模型特征的基础上,设计了基于正交试验的混合田口遗传算法实现路径及运输方式的组合优化。通过考虑不同用户偏好的5个任务来考察模型和优化算法的有效性。计算结果表明,该算法能有效求解出满足用户偏好的路径及运输组合方式,为物流企业决策提供依据。

关键词: 第四方物流, 多模式联运, 混合田口遗传算法

Abstract: The problem of modeling and optimization of multimodal transportation with fuzzy time window is discussed in this paper. Based on a network description for this problem, an optimization model is presented for it. After analyzing the characteristics of the model, a hybrid Taguchi genetic algorithm is then proposed to solve the problem. It optimizes the transportation routes and the combination of means of transportation. An example with five orders that have different fuzzy time windows is use to show the effectiveness of the proposed method. Numerical results show that it is efficient and satisfied result can be obtained.

Key words: fourth party logistics, multimodal transportation, hybrid Taguchi genetic algorithm