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多目标突发灾害移动应急物资调配优化

Optimization of Multi-Objective Mobile Emergency Material Allocation for Sudden Disasters.

机构信息

School of Economics and Management, Xi'an University of Technology, Xi'an, China.

International Business School, Shaanxi Normal University, Xi'an, China.

出版信息

Front Public Health. 2022 Jul 14;10:927241. doi: 10.3389/fpubh.2022.927241. eCollection 2022.

DOI:10.3389/fpubh.2022.927241
PMID:35910880
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9334021/
Abstract

The mobile emergency system is a new emergency mode that provides a solution to deal with increasingly frequent sudden disasters by reasonably allocating mobile emergency facilities and optimizing the allocation of mobile emergency materials. We consider mobile emergency cost and mobile emergency time as two objective functions. This paper establishes a multi-objective mobile emergency material allocation model, and transforms the multi-objective. We choose the emergency material transportation path for coding, and apply the hybrid leapfrog algorithm for material allocation to obtain the optimal solution. Finally, the feasibility of the model is verified by taking Zhengzhou urban area under the "21.7" severe rainstorm and flood disaster in Henan Province. The result analyses show that the model can correspond to each stage of mobile emergency material allocation based on the value of cost preference, and put forward suggestions on the location of mobile emergency facilities and the amount of material allocation.

摘要

移动应急系统是一种新的应急模式,通过合理配置移动应急设施和优化移动应急物资的配置,为应对日益频繁的突发灾害提供了一种解决方案。我们将移动应急成本和移动应急时间视为两个目标函数。本文建立了一个多目标移动应急物资分配模型,并将多目标。我们选择应急物资运输路径进行编码,并应用混合蛙跳算法进行物资分配,以获得最优解。最后,通过河南省“21.7”特大暴雨洪涝灾害下的郑州市城区实例验证了模型的可行性。结果分析表明,该模型可以根据成本偏好值对应移动应急物资分配的各个阶段,并对移动应急设施的位置和物资分配的数量提出建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3bf/9334021/b74c4bc73354/fpubh-10-927241-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3bf/9334021/22623e65d549/fpubh-10-927241-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3bf/9334021/b74c4bc73354/fpubh-10-927241-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3bf/9334021/22623e65d549/fpubh-10-927241-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d3bf/9334021/b74c4bc73354/fpubh-10-927241-g0002.jpg

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本文引用的文献

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Research on the Allocation of 3D Printing Emergency Supplies in Public Health Emergencies.公共卫生突发事件下 3D 打印应急物资的调配研究。
Front Public Health. 2021 Mar 26;9:657276. doi: 10.3389/fpubh.2021.657276. eCollection 2021.
2
Robust optimization approach to emergency mobile facility routing.稳健优化方法在应急移动设施路径规划中的应用。
Sci Prog. 2021 Jan-Mar;104(1):36850420982685. doi: 10.1177/0036850420982685.