Implementation of fuzzy-robust programming method in the locating-routing and allocation multi-objective pharmaceutical supply chain problem under uncertainty

In this research, a supply chain network has been designed to address social and corrupt situations. To evaluate the model, a small dimensional example was first designed and the model was solved with 3 decision methods (utility function, comprehensive criteria, and Goal programming). To compare the results of target functions and the effective responses obtained from the two-objective model, we compared the efficiency response indicators (averages of the target functions, the number of efficient responses, the most exponential index, the gap index, the distance index from the ideal point and the computational time). The decision method is a comprehensive criterion for acquiring average indices of the first objective function, the distance indicator from the ideal point, and the computational time more efficient than other methods. The ideal planning method has also proved to be effective in obtaining average indices of the second objective function, the number of effective responses, the most exponential index, and the efficiency gap index. Finally, the utility function method has also been more efficient in obtaining the problem solving index in less time. Finally, for comparing and choosing the most efficient solving method from solvency solving methods from topsis, the method of the comprehensive method is the most efficient method among existing methods.