Research on multi-objective emergency logistics vehicle routing problem under constraint conditions
Abstract: 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.
Keywords: Emergency Logistics;
Road Congestion; Unilateralism Time Window; Vehicle Routing Problem; Genetic
Algorithms
Author: Miaomiao Du, Hua Yi
Journal Code: jptindustrigg130061
