%0 Journal Article
%T Research on multi-objective emergency logistics vehicle routing problem under constraint conditions
%A Miaomiao Du
%A Hua Yi
%J Journal of Industrial Engineering and Management
%D 2013
%I 
%R 10.3926/jiem.670
%X 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.
%K Emergency Logistics
%K Road Congestion
%K Unilateralism Time Window
%K Vehicle Routing Problem
%K Genetic Algorithms
%U http://www.jiem.org/index.php/jiem/article/view/670