工业工程 ›› 2018, Vol. 21 ›› Issue (1): 83-88.doi: 10.3969/j.issn.1007-7375.e17-1046

• 实践与应用 • 上一篇    下一篇

基于实时交通信息的灾后应急物流多源配送优化问题

胡忠君1, 刘艳秋1, 李佳2   

  1. 1.沈阳工业大学 管理学院, 辽宁 沈阳 110870;
    2. 沈阳工业大学 信息科学与工程学院, 辽宁 沈阳 110870
  • 收稿日期:2017-03-07 出版日期:2018-02-28 发布日期:2018-03-12
  • 作者简介:胡忠君(1970-),男,辽宁省人,博士研究生,主要研究方向为物流系统管理与工程
  • 基金资助:
    国家自然科学基金资助项目(70431003)

A Multi-Source Distribution Optimization of Post-disaster Emergency Logistics Based on Real-Time Traffic Information

HU Zhongjun1, LIU Yanqiu1, LI Jia2   

  1. 1. School of Management, Shenyang University of Technology, Shenyang 110870, China;
    2. School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
  • Received:2017-03-07 Online:2018-02-28 Published:2018-03-12

摘要: 针对自然灾害后的应急调度与配送问题,以三级多源配送系统为研究对象,考虑实时交通信息更新对配送方案的影响,构建了基于公平分配满足度水平最大的数学模型,并设计了嵌入禁忌搜索的混合遗传算法对问题进行求解。结果表明,实时交通信息相较于静态情景具有更高的救灾满意度和更快的响应速度。

关键词: 灾后应急物流, 多源配送优化, 实时交通信息, 混合遗传算法

Abstract: For emergency scheduling and distribution after disaster, the three-level multi-source distribution system is treated as a research object. A mathematical model about maximum satisfaction level is constructed based on equity. In the model, the effect of updating real-time traffic information on distribution scheme is taken into account. Also, a hybrid genetic algorithm with tabu search algorithm is improved. The results show that the real-time traffic information has a higher degree of disaster satisfaction and faster response than static scenarios.

Key words: post-emergency logistics, multi-source distribution optimization, real-time traffic information, hybrid genetic algorithm

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