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Research on Multi-objective Emergency Logistics Vehicle Routing Problem under Constraint Conditions

Journal Name:

  • Journal of Industrial Engineering and Management

Publication Year:

  • 2013
DOI: 
http://dx.doi.org/10.3926/jiem.670

Key Words:

Author NameUniversity of Author
Abstract (2. Language): 
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.
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FULL TEXT (PDF): 
PDF icon arastrmx_141136_6_pp_258-266.pdf
  • 1
258-266
  • English

REFERENCES

References: 

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