A Multi-Objective Robust Optimization Logistics Model in Times of Crisis under Uncertainty

Every year, the crisis in human societies is growing up in type, number and severity, so today crisis management is considered an important topic for research and research in all countries. In this study, a proposed multi-objective mathematical model under uncertainty conditions. The model seeks to find the optimal facility location and allocation of goods between the facility and the allocation of injured to hospitals also Looking for an optimal route to bring human resources to damaged areas to achieve goals such as reducing costs, distributing goods and fair medical assistance between areas, and reducing the time that aid troops arrive in damaged areas. The existing model focuses on the severity of incident uncertainty and this uncertainty in the severity of the accident, which causes uncertainty about the amount of demand for goods and manpower, and the amount of damage and injuries is based on a scenario-based method based approach Robust optimization in the model and because of the multi-purpose of the model, with the help of one of the single-purpose methods, the model is made single-purpose and finally, the model in this study was solved in a case study to prove its accuracy and effectiveness was investigated.