An Integrated Mathematical Model for Relief Logistics with Considering Reliability (Case Study: Earthquake Disaster in Tehran City)

Natural disasters cause deaths of thousands and affect millions of people every year. Thus, we should think about disaster preparedness planning to reduce the impact of them. Location of distribution centers and allocation of affected people to these centers are very important in emergency management, because they cause to reduce the relief time and damages caused by the disasters. This paper aims to locations of distribution centers and allocation of affected area to these centers by considering dynamic and uncertain demands, to reduce cost and increase reliability. At this article the reliability is considered as the backup depots, probability of failures for the routes and depots, and as a separate objective. Also uncertainty is displayed as a scenario and allocation of established depots are done according to different scenarios. A case study about earthquake in Tehran city is selected and implemented in the model to evaluate and validate the proposed model. Result shows that we can increase the satisfied demands and reliably by using the proposed model which has a significant important in emergency management.