Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China

Research Article

Study on The Location of Emergency Logistics Center Under Public Health Events -- A Case Study of Huai'an City

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2327972,
        author={Jiaao  Liu},
        title={Study on The Location of Emergency Logistics Center Under Public Health Events -- A Case Study of Huai'an City},
        proceedings={Proceedings of the 2nd International Conference on Information, Control and Automation, ICICA 2022, December 2-4, 2022, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICICA},
        year={2023},
        month={3},
        keywords={public health events emergency logistics site selection},
        doi={10.4108/eai.2-12-2022.2327972}
    }
    
  • Jiaao Liu
    Year: 2023
    Study on The Location of Emergency Logistics Center Under Public Health Events -- A Case Study of Huai'an City
    ICICA
    EAI
    DOI: 10.4108/eai.2-12-2022.2327972
Jiaao Liu1,*
  • 1: Shandong Huayu University of Technology
*Contact email: jialiu1225@163.com

Abstract

In early 2021, COVID-19 broke out in Wuhan, Hubei province. The location of emergency logistics centers in the emergency logistics management of public health emergencies is very critical, which greatly affects the emergency efficiency of materials in the hands of the demand. Reasonable positioning of emergency logistics center can minimize losses, so the location of emergency logistics center is the core issue of emergency logistics. This paper studies the location of emergency logistics center for public health events, and establishes a multi-objective decision-making model with the largest coverage, the highest time efficiency and the lowest time cost to solve practical problems. Taking Huai'an City as an example, this paper empirically studies the multi-objective location model of emergency logistics center under public health events, and uses the depth first search method (DFS) And lingo software to select the best location. At the same time, it further proves that the multi-objective decision-making model constructed in this paper is more scientific and efficient, saves cost and reduces transportation time, which provides a certain theoretical reference for the location research of emergency logistics center under public health events in the future.