A Fuzzy Coherent Hierarchical Location-Allocation Model for Congested Systems


Department of Industrial Engineering,Sharif University of Technology


A fuzzy queuing coherent hierarchical location-allocation model is developed for congested systems. The parameters of the model are approximately evaluated and stated as fuzzy-numbers. The coverage of demand nodes is also considered in an approximate manner and is stated by the degree of membership. Using the queuing theory and fuzzy conditions, a coherent hierarchical model is developed for the Maximal Covering Location Problem (MCLP). An example problem is solved and presented, along with results. Conclusions and future extensions are also included.