چكيده به لاتين
Abstract:
Natural disasters such as earthquake and flood early occur around the world which deleteriously affect people’s lives and assets. As far as our country is located on dangerous faults, disaster management plays a key role to control such situations when natural disasters accur. Therefore, it is essential to plan for disaster management and consider efficient emergency logistics operations to diminish likely destructive effects. It is obvious that practical investigations in humanitarian logistics help decision makers to find the best solutions and plicies and optimize their response. Locating relief bases, allocating and distributing of relief commodities in affected area on the one hand, and evacuating on the other hand are known as paramount decisions in disaster situation.
In this study two mathematical models in humanitarian logistics have been proposed. The first one, blood supply chain model which minimizes the network’s total costs, has been formulated by using Robust programming to complete the second model, Bi-level netwoek. The later tries to optimize vaired decisions which include location, allocation, distribution and evacuation decisions, in preparedness and response phases. The affected country is considered as the leader seeks to minimize unsatisfied demands and its total costs and foreign countries play as followers which tries to minimize their transportation cost.
Keywords:
Relief Chain Management, Rescue Centers Location-Allocation, Two-stage stochastic programming, Multi-level programming, Evacuation, Stochastic Programming
