计算机应用 ›› 2018, Vol. 38 ›› Issue (8): 2416-2422.DOI: 10.11772/j.issn.1001-9081.2018010202

• 应用前沿、交叉与综合 • 上一篇    下一篇

应急物资配送车辆调度模型与优化综述

曹琦, 曹阳   

  1. 陆军勤务学院 勤务指挥系, 重庆 401331
  • 收稿日期:2018-01-23 修回日期:2018-03-07 出版日期:2018-08-10 发布日期:2018-08-11
  • 通讯作者: 曹琦
  • 作者简介:曹琦(1976-),男,重庆人,副教授,博士,CCF高级会员,主要研究方向:计算机仿真与建模、灾害应急管理;曹阳(1991-),男,重庆人,硕士研究生,主要研究方向:灾害应急管理。
  • 基金资助:
    国家社会科学基金资助项目(16GJ007-317);中国博士后科学基金资助项目(2017M611157);重庆市基础与前沿研究计划项目(cstc2014jcyjA40008)。

Review of model and optimization of vehicle scheduling for emergency material distribution

CAO Qi, CAO Yang   

  1. Department of Logistics Command, Army Logistics University, Chongqing 401331, China
  • Received:2018-01-23 Revised:2018-03-07 Online:2018-08-10 Published:2018-08-11
  • Supported by:
    This work is partially supported by the National Social Science Foundation of China (16GJ007-317), the China Postdoctoral Science Foundation (2017M611157), and the Chongqing Research Program of Basic Research and Frontier Technology (cstc2014jcyjA40008).

摘要: 抢险救灾行动的有效规划和调度在挽救人民群众生命和减轻财产损失中起着重要作用,利用数学建模方法和计算机仿真技术,辅助决策者完成应急物资配送车辆调度已成为学术界的共识。围绕模型和优化两个关键点,分析了近年来应急物资配送车辆调度的研究现状,归纳出了应急物资配送车辆调度模型的主要优化目标和影响因素,对比分析了多种优化算法的应用效果,提出了现有研究中存在的问题,最后研讨了应急物资配送车辆调度研究的发展趋势。

关键词: 应急救援, 物资配送, 车辆调度问题

Abstract: The effective planning and scheduling of the rescue operation plays an important role in saving lives and reducing property losses. Relying on mathematical modeling methods and computer simulation technology to assist decision-makers to complete the vehicle scheduling for emergency material distribution has become a consensus in the academic world. Focused on two key issues, i.e., model and optimization, the recent research status of the vehicle scheduling problem for emergency material distribution were analyzed. The main optimization objects and influence factors in the model of vehicle scheduling problem for emergency material distribution were reduced. The application effects of different optimization algorithms were compared and analyzed. And the existing problems of current research were brought forward. Finally, the future research trends of the vehicle scheduling for emergency material distribution were discussed.

Key words: emergency rescue, material distribution, Vehicle Scheduling Problem (VSP)

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