Fuzzy Transportation Model Technique to Determine the Minimum Total Cost Using a Novel Ranking Function

The transportation problem (TP) is employed in many different situations, such as scheduling, performance, spending, plant placement, inventory control, and employee scheduling. When all variables, including supply, demand, unit costs (TC), are precisely known, effective solutions to the can be provided. However, understanding how investigate an uncertain environment essential. Additionally, businesses organizations should seek most economical environmentally friendly forms of transportation, considering significance environmental issues strict legislation. This research employs a novel ranking function solve (TP), where fuzzy triangular numbers represent demand supply (DAS). model transformed compressed crisp (CM), results compared using northwest corner method least cost method. In addition, numerical example (FTM) shown.