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A study of emergency logistics based on robust optimization in uncertain environments

Year: 2024
Type: conference-paper
Abstract: This paper determines the location of emergency supply points by constructing a multi-stage stochastic programming model with the goal of minimizing rescue costs. and reserves, and considers the robust optimization model under demand uncertainty, thereby improving the anti-interference ability of the model. This paper uses the hurricane data of the Gulf of Mexico in the southern United States as a case to conduct numerical analysis, and shows strong robustness and generalization, providing certain reference value for other humanitarian storage facility selection and material allocation issues.
Authors: Xinyue Li, Zhongliang Guan
Language: English
Open Access status: bronze
OpenAlex ID: W4406667935
FWCI:
Cites: 4
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Related to: 10