چكيده به لاتين
The purpose of supply chain management is to integrate the activities and information flows in the chain through improving and coordinating activities in the production and supply of products. Among the supply chain driving factors, information is most important because of its influence on other factors and the facilitating role of communication among chain members. One of the most important services that information provides to supply chain members is decision-making power. One of the data collection tools in the supply chain is the use of information and communication technology. Information technology includes all the software and hardware used throughout the supply chain to collect - analyze and access information. With the advent of communication and information technologies in the health industry, the volume of information and data produced in this industry is growing rapidly. Therefore, using some approaches can convert this huge amount of information into knowledge applicable in the supply chain. Approaches such as e-business in the health supply chain and decision support systems can have the potential to transform this information into knowledge. One of the decision-making tools in the supply chain is the use of mathematical models. In this thesis, we use the combination of two tools of mathematical modeling and decision support systems in the emergency logistics to ambulance relocation to an optimal and dynamic framework for decision making in this system. Given the uncertainty and dynamics of the surrounding environment as well as the adaptation to different scenarios in reality, one of the tools that can be used in deciding to ambulance relocation in the emergency system is due to changes in demand patterns of demand points at specific times of work shifts, is the decision support system (DSS) and its integration with mathematical models. in this thesis, first a nonlinear mathematical programming model is developed in order to decide the ambulance relocation, then by designing the decision support system, the mathematical model is implemented with an online approach and in the developed software context to decision making.