Optimum Cost of Transporting Problems with Hexagonal Fuzzy Numbers

Abstract

Transportation problems can be used in managing shipments straightforwardly from the supply point to the demand point. More recently, there has been widespread interest in applying transportation problems to optimize the fuzzy number systems. The ability to distinguish and make use of particular structures is a significant factor in the efficacious application of optimization models. In this paper, fuzzy methods of hexagonal are used to solve transportation problems when the demand and destination are uncertain. The most important findings of this paper are reaching the optimum transportation cost minimization through magnitude hexagonal fuzzy numbers. The results verified that the optimal transport plan of the company succeeded in minimizing the total cost to 1222$. The outcomes of this paper can be optimized by particle swarm optimization as a future trend.