Scientific emergency logistics scheduling is a crucial component in the emergency rescue process during sudden disasters. It significantly impacts the overall effectiveness of emergency rescue operations and is closely tied to their success or failure. In order to achieve efficient scheduling of emergency logistics in complex disaster relief scenarios, a method has been introduced for optimizing emergency logistics scheduling based on uncertain disaster information. The effectiveness and feasibility of this model have been validated through a case study of the Ludian earthquake in Yunnan Province, China. The results demonstrate that the proposed model can produce a scientifically optimized plan for emergency logistics scheduling in challenging disaster conditions. This offers valuable insights for practical emergency logistics scheduling and resource allocation in real-world scenarios.


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    Titel :

    Research on Optimization of Emergency Logistics Scheduling in Complex Disaster Relief Situations


    Beteiligte:
    Wang, Yanyan (Autor:in)


    Erscheinungsdatum :

    23.08.2024


    Format / Umfang :

    1352207 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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