An Efficient Approach to Solve Two-Stage Fuzzy Transportation Problem

Transportation problems are one of the most important classes of linear programming problems. This manages a product's transportation from its point of origin to its final destination. The primary objective is to meet destination requirements while minimizing shipping expenses. This work presents a two-stage fuzzy transportation cost-related problem and uses a parametric approach to derive a fuzzy solution. A novel method is suggested to address a two-phase fuzzy transportation issue where the transport cost is expressed in terms of fuzzy trapezoidal figures. This approach is particularly effective because it is easy to comprehend. By supporting decision-makers during the process and offering a simple and cost-effective solution, the suggested strategy assists decision-makers with logistics-related problems