Route selection for emergency logistics management: A bio-inspired algorithm

Xiaoge Zhang, Zili Zhang, Yajuan Zhang, Daijun Wei, Yong Deng

Research output: Journal article publicationJournal articleAcademic researchpeer-review

99 Citations (Scopus)

Abstract

Route selection is one of the fundamental problems in emergency logistics management, which plays an important role in real applications. A various paper has been produced to deal with route selection problem, in which the travel time on each arc of the logistics network is a constant. However, the travel speed will change with the extension of the disaster, especially under disasters like hurricane, flood, etc. To address this issue, a novel bio-inspired method is proposed to solve this problem. Furthermore, both the travel time and the path length are taken into consideration. The proposed approach solves how to choose the optimal path from the optional choices. A case study is utilized to evaluate the efficiency of the proposed method. The result shows that the proposed method is effective in dealing with the route selection problem for emergency logistics management.

Original languageEnglish
Pages (from-to)87-91
Number of pages5
JournalSafety Science
Volume54
DOIs
Publication statusPublished - Apr 2013
Externally publishedYes

Keywords

  • Bio-inspired
  • Emergency logistics management
  • Route selection

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Safety Research
  • Public Health, Environmental and Occupational Health

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