Multi objective optimization of railway emergency rescue resource allocation and decision

Zhaoping Tang () and Jianping Sun
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Zhaoping Tang: East China Jiaotong University
Jianping Sun: East China Jiaotong University

International Journal of System Assurance Engineering and Management, 2018, vol. 9, issue 3, No 13, 696-702

Abstract: Abstract Based on the characteristics and requirements of railway emergency resources dispatch, the paper established two optimal models respectively, the single objective model is aiming at minimizing the time of emergency resource dispatch, the multi objective model is for the sake of minimizing the time of emergency resource dispatch and the number of emergency rescue base, and the paper used voting analytic hierarchy process of operations research to solve the model. The study shows that the multi objective optimization model can reduce the number of emergency rescue base and the cost of rescue while it can meet the demand of the shortest allocation time. By using Matlab software, the decision-making process of emergency resource optimize dispatch was designed, making the emergency decision fast and scientific, meanwhile, the paper made an empirical analysis on one railway bureau. The research results reduce the rescue time and cost of the railway accident, and provide reference for implement the rapidness response to make decision on emergency resources allocation, scientific resource allocation decisions.

Keywords: Railway emergency resources; Optimistic allocation model; Multi-objective model; Lexicographic method; Decision analysis (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s13198-017-0648-y

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