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文章基本信息

  • 标题:A Multi-Depot Logistics Distribution Routing Model for Unexpected Events
  • 本地全文:下载
  • 作者:Xiaoxia Huang ; Xiaoxia Huang ; Liying Song
  • 期刊名称:Journal of Industrial Engineering and Management Science
  • 电子版ISSN:2446-1822
  • 出版年度:2018
  • 卷号:2017
  • 期号:1
  • 页码:207-224
  • DOI:10.13052/jiems2446-1822.2017.010
  • 语种:English
  • 出版社:River Publishers
  • 摘要:This paper discusses a multi-depot vehicle routing problem for dispatching vehicles in multi-depots to send relief material to the affected areas in unexpected events. Due to the occurrence of the unexpected events, people’s demands in the affected areas and the vehicles’ travel times on roads lack historical data and are given by experts’ estimations. Uncertain variables are used to describe these parameters. By using uncertainty theory, a multi-depot logistics distribution routing model is developed. To solve the problem, the equivalent of the proposed model is also presented. As an illustration, an example is also presented and discussed.
  • 关键词:Multi-depot vehicle routing problem; emergency logistics; uncertain programming; uncertainty theory; genetic algorithm
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