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在重大自然灾害中研究跨区域应急材料智能调度模型
Lin Zhang1, Jinyu Wang1, Xin Wang1
1School of Economics and Management, Beijing Information Science and Technology University, Beijing, China.
PloS one
|July 26, 2024
概括
这项研究引入了一个新的模型,用于在重大自然灾害期间智能紧急物资调度,优化速度,成本和公平性. 该模型通过提供及时的,数据驱动的调度方案,有效地提高了政府的紧急救援性能.
科学领域:
- 灾害管理 灾害管理
- 运营研究 运营研究
- 应急物流 应急物流
背景情况:
- 大型自然灾害对国家稳定,公共安全和经济福祉构成重大威胁.
- 将紧急物资有效准确地运送到灾区对于灾后应对至关重要.
- 高度的不确定性和不同的灾难严重程度使紧急物资分配变得复杂.
研究的目的:
- 在重大自然灾害中开发一个智能调度模型,用于跨区域的应急材料.
- 尽量减少调度时间和成本,同时为受影响地区最大限度地公平.
- 为了解决在紧急救援行动中固有的高不确定性.
主要方法:
- 使用重法来确定紧急物质需求的紧急系数.
- 使用三角形模糊数字来表示调度过程中不确定的变量.
- 在重大自然灾害 (CREMIDM-MND) 中构建了一个跨区域的紧急材料智能调度模型.
- 应用了殖民地算法来优化运输路线.
主要成果:
- 该CREMIDM-MND模型使用2021年河南省暴雨灾难的案例研究进行了验证.
- 该模型成功生成了一个智能应急材料调度方案,满足了多个目标.
- 用MATLAB进行计算,整合了客观的灾难数据.
结论:
- 开发的模型,CREMIDM-MND,可以及时有效地跨区域紧急物资的调度.
- 该模型显著提高了政府在重大自然灾害期间的紧急救援性能.
- 这项研究为实际的紧急物资调度挑战提供了有价值的管理见解.
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