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

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.