| dc.description.abstract | One of the first uses for Linear Programming (LP) issues was the transportation problem. In order to cut costs, transportation models are widely used in transportation and the supply chain. When the demand, cost and supply amounts, and other relevant information are precisely known, effective techniques have been created to solve the transportation problem. In the real world, unpredictability and imprecisions are unavoidable due to certain events. For the purpose of solving fuzzy transportation problems, an optimal fuzzy zero point technique is suggested in this study. The approach makes exact assumptions about the product's availability, demand, and transportation cost. The suggested method uses generalized trapezoidal fuzzy numbers to describe transportation costs, product availability, and demand. The suggested approach is relatively simple to comprehend and apply to actual transportation issues because it is a direct extension of the classical method. It will be an essential tool for decision-makers when they are dealing with a variety of logistical issues with fuzzy features. | en_US |
