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A scenario planning approach for the flood emergency logistics preparation problem under uncertainty

机译：不确定条件下洪水应急后勤准备问题的情景规划方法

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This paper aims to develop a decision-making tool that can be used by government agencies in planning for flood emergency logistics. In this article, the flood emergency logistics problem with uncertainty is formulated as two stochastic programming models that allow for the determination of a rescue resource distribution system for urban flood disasters. The decision variables include the structure of rescue organizations, locations of rescue resource storehouses, allocations of rescue resources under capacity restrictions, and distributions of rescue resources. By applying the data processing and network analysis functions of the geographic information system, flooding potential maps can estimate the possible locations of rescue demand points and the required amount of rescue equipment. The proposed models are solved using a sample average approximation scheme. Finally, a real example of planning for flood emergency logistics is presented to highlight the significance of the proposed model as well as the efficacy of the proposed solution strategy.
机译：本文旨在开发一种决策工具，可供政府机构用于洪水应急物流的规划。在本文中，将不确定性的洪水应急物流问题表述为两个随机规划模型，这些模型可以确定城市洪水灾害的救援资源分配系统。决策变量包括救援组织的结构，救援资源库的位置，在容量限制下的救援资源分配以及救援资源的分配。通过应用地理信息系统的数据处理和网络分析功能，洪水潜力图可以估计救援需求点的可能位置和所需的救援设备数量。所提出的模型使用样本平均近似方案求解。最后，给出了洪水应急物流规划的真实示例，以突出所提出模型的重要性以及所提出解决方案策略的有效性。

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