A two-stage multi-criterion stochastic programming model for medical supply location in biochemical attacks

We propose a stochastic optimization approach for the location and distribution problem of medical supplies to be used in Biochemical attacks. We develop a robust decision support mechanism. It is serviceable under the wide variety of possible disaster types and magnitudes. We develop a two-stage multi-criteria stochastic programming model in preparation for biochemical attacks. It is used to select the storage locations of medical supplies and required inventory levels for each type of medical supplies. Our model captures the attack specific information and possible effects of disasters through the use of disaster scenarios. Thus, we balance the preparedness and risk despite the uncertainties of biochemical attacks. We present a case study of our models based on sarin gas attack scenarios in the Beijing area.