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Multi objective optimization of railway emergency rescue resource allocation and decision

Author

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  • Zhaoping Tang

    (East China Jiaotong University)

  • Jianping Sun

    (East China Jiaotong University)

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.

Suggested Citation

  • Zhaoping Tang & Jianping Sun, 2018. "Multi objective optimization of railway emergency rescue resource allocation and decision," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(3), pages 696-702, June.
    • Handle: RePEc:spr:ijsaem:v:9:y:2018:i:3:d:10.1007_s13198-017-0648-y
    DOI: 10.1007/s13198-017-0648-y
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    References listed on IDEAS

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    1. G Barbarosoǧlu & Y Arda, 2004. "A two-stage stochastic programming framework for transportation planning in disaster response," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(1), pages 43-53, January.
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    Cited by:

    1. Huizhu Wang & Jianqin Zhou, 2023. "Location of Railway Emergency Rescue Spots Based on a Near-Full Covering Problem: From a Perspective of Diverse Scenarios," Sustainability, MDPI, vol. 15(8), pages 1-16, April.

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