چكيده به لاتين
Abstract
Millions of people around the world are exposed to natural and man-made disasters. There is remarkable evidence that the number of disasters is increasing, However, relatively few work has been done to improve the understanding of the various barriers to the humanitarian supply chain (HSC) and to find the appropriate solution to deal with them. Nowadays, readiness to deal with the catastrophic necessities in Iran and other countries of the world has become urgent attention. Despite the measures taken in the area of crisis management and humanitarian supply chain management, there is still a long way to come to an acceptable standard. Usually, when incidents occur, the need for injured people for relief goods in the accident areas will exacerbate the crisis, Therefore, the location of distribution centers and the allocation of demand points to these centers is an important issue in crisis management, since it reduces the time of relief and damage from the crisis. In this dissertation, a two-step mathematical model has been developed for allocating facilities in times of crisis, which the first model is the basis for the second model. In the first issue, a multi-objective model for allocation and sending injuries to the health center with the goal of reducing costs and time and increasing the quality offered, So that the model taking into account the uncertain demand, allocates health centers to affected areas. In the second case, a single-objective models for the allocation of medical items to health centers with the aim of reducing costs is proposed. This model, with consideration of uncertain demand, allocates medical items from the supply points to the health center. Then the integrated model will be presented the result of the two previous models. The first problem was solved by ϵ-constraint method and weighting method and implemented with GAMS software. The linear programming mathematical model will be implemented in the second problem in the GAMS software. The integrated mathematical model was also solved using the ϵ-constraint method and its results were implemented in GAMS software. To evaluate and applicability the proposed model, an incident of fire was selected in a neighborhood of Tehran as a case study. In the end, the sensitivity analysis was performed to validate the model. The computational results show that using the model for planning and allocation, by reducing costs and time and increasing the level of quality, optimized operational costs and covered emergency demand.
Key words: crisis, coverage radius, mathematical modeling, planning and allocation, multi-objective optimization, epsilon restriction method
