Research on multi-objective emergency logistics vehicle routing problem under constraint conditions

• Du, Miaomiao ^[1] ; Yi, Hua ^[1]
  1. [1] School of economics and management,Beijing Jiaotong University
• Localización: Journal of Industrial Engineering and Management, ISSN-e 2013-0953, Vol. 6, Nº. Extra 1, 2013, págs. 258-266
• Idioma: inglés
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• Resumen

  • Purpose: Aim at choosing a relative good vehicle routing in emergency conditions under constraint conditions when disaster happens. Rapid response and rescue can save a lot of people. Design/methodology/approach: Modeling analysis: establishing a mathematical model of multi-objective emergency logistics vehicle routing problem. And in end of the paper, we intend to use genetic algorithms to solve the problem. Findings: Considering time requirement and cost limit both while choosing vehicle routing when the disasters happens is meaningful. We can get a relative good result and give a guidance to rescue teams. Originality/value: Consider cost and time objectives and kinds of realistic conditions (such as the road congestion) in the model when solving the problem, having expanded the theory scope.