Optimizing the Transportation Route in the Distribution Network Using Fuzzy AHP Multi-Criteria Decision Making

Abstract

In the field of transportation in the distribution network, route optimization is of great importance because it can reduce costs, increase efficiency, and improve service quality. In this paper, a new method to optimize the transportation route in the distribution network using fuzzy AHP multi-criteria decision making is introduced. First, using the fuzzy AHP method, various criteria such as distance and time, cost and service quality are evaluated. Then, by using the matrix of integrated fuzzy comparisons of the criteria, the preference of each criterion over the other is determined. In the next step, in order to improve the accuracy and efficiency, the sub-criteria related to each criterion are evaluated. Using the matrix of integrated fuzzy comparisons of sub-criteria and the normalization method, the degree of preference of each sub-criteria is determined and we rank them. According to the results obtained from the preference of criteria and sub-criteria, different transportation routes can be improved and optimized based on preferences and normalization of preferences. The results show that the use of fuzzy AHP multi-criteria decision-making in the optimization of the transportation route in the distribution network leads to improved efficiency and reduced costs, and ultimately increases the quality of services.