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

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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Published
2024-08-23
DOI
https://doi.org/10.1109/ictle62418.2024.10703875
Primary Topic
Medical Research and Treatments
Type
article
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article

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

Yanyan Wang
Medical Research and Treatments
article

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

Yanyan Wang
article en

Abstract

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.

Harbin Institute of Technology (CN)
Climate action
Openalex Percentile: Top 66%
Medical Research and Treatments
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Research on Optimization of Emergency Logistics Scheduling in Complex Disaster Relief Situations — Yanyan Wang · (2024) | TGRS Research Map | TGRS