A New Technique Applies for Solving Fuzzy Transportation Problem Using Hexagon Number With Alpha Cut Ranking Technique

Transportation Model (TP) is widely used to solve real life problems. Such as scheduling, production, investment, plant’ location, inventory control, personal assignment and many others, so that this model is really not confined to transportation or distribution only: There are many technique to solve TP classically. Under many conditions exact data are inadequate to model in real life situations. Human judgments including preference are often vague and they cannot estimate preferences with an exact numerical data. Ranking fuzzy numbers is an important tool in decision making. In fuzzy decision analysis fuzzy quantities are used to describe the performance of alternatives in modeling a real world problem. In this article using Robust's Technique, to find the least transportation cost of some commodities.We introduce a new approach (method) solving TP using hexagon Number with Alpha – cut for ranking technique and given suitable numerical example