A new Approach for Solving Multi-layered Facility Location Models under Uncertainty Using fuzzy Simulation

Different systems have complex behaviors associated with uncertainty of an important loss issues. Integration of discrete event systems in order to incorporate the uncertainty presented with the theory of fuzzy collections. Multi-layer facility location models have complex behavior. In this model, customers receive different services in different layers addressing. The study seeks to provide a facility location models with multiple layers of serving and taking into account the density of the system. The proposed model is for a fuzzy nine linear programming model and it is placed in the field of highly complex issues. In order to solve the mathematical model, fuzzy simulation approaches have been used. In this regard, the applicant is to facilitate functions such as minimizing the travel and waiting time in the queue is the applicant. It is noted that after the implementation, the basic models and scenarios created and Arena software results of fuzzy been ranked.