Supply Center Planning Model Using Fuzzy-AHP and VRP

This research is concerned with a new method of optimizing the design of the supply center for public service considering the locations and service level based on Fuzzy-AHP and service level of service facility using VRP (vehicle routing problem) is one of the evident areas of important points in the design of public service facility. This research is concerned with the development of decision method of location number of public service facilities with minimum travel distance (with optimal service level). We developed a 3-step facility planning based on VRP, fuzzy-AHP, and stochastic set-covering method in the view of: (1) optimal decision of service facility types using AHP (analytic hierarchy process) as a multi-attribute structured analysis method, (2) finding the optimal number of service facility and those locations with minimum travel distance using set-covering problem, and (3) these procedures are shown by visual outputs based on visual VRP. The computer program is developed and demonstrated the computational results. It is known that the proposed method is very effective on a set of test problems.