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Research on Multiobjective Location of Urban Emergency Logistics under Major Emergencies

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  • Hongchun Wang
  • Xinying Ma

Abstract

After the outbreak of major emergencies, the scheduling of emergency supplies is the key to the emergency rescue work, and the establishment of appropriate emergency logistics centers plays a crucial supporting role. In order to deal with the problem of emergency facility location and material distribution in urban emergency logistics system, this paper establishes a dual objective mixed integer nonlinear programming (MINLP) model with the objective of minimizing the emergency rescue time and maximizing the satisfaction rate of emergency material demand, designs a genetic algorithm to solve the emergency logistics location and allocation model, and obtains the Pareto optimal solution set of the model. Finally, a case study of COVID-19 epidemic in Beijing-Tianjin-Hebei region was carried out to verify the feasibility and effectiveness of the model and algorithm in the actual application, which can provide reference and suggestions for the location and material distribution of urban emergency logistics centers.

Suggested Citation

  • Hongchun Wang & Xinying Ma, 2021. "Research on Multiobjective Location of Urban Emergency Logistics under Major Emergencies," Mathematical Problems in Engineering, Hindawi, vol. 2021, pages 1-12, May.
    • Handle: RePEc:hin:jnlmpe:5577797
    DOI: 10.1155/2021/5577797
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    Cited by:

    1. Liao, Haiyan & Holguín-Veras, José & Calderón, Oriana, 2023. "Comparative analysis of the performance of humanitarian logistic structures using agent-based simulation," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).

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