A multi-objective robust optimization model to design a network for Emergency Medical Services under uncertainty conditions: A case study

The present research introduces a multi-objective robust optimization model to design emergency medical services network for uncertain costs and demands. the proposed model determines the location and the optimum capacity of relief medical service centers. in addition, the model determines the number and the type of ambulances that should be placed in each of the centers and allocated to demand zones. the multi-objective model attempts to maximize the coverage of demand zones, the availability of ambulances and minimizing the total costs simultaneously. a robust model is applied to our real word case study in an urban district.