Optimization Of Fuzzy Inventory Model Using Lagragian Method In Decagonal Fuzzy Number

Abstract

In this paper, a Inventory model for an item with different objective and constraints under uncertain environment. All the cost parameters involved in the study are represented by fuzzy numbers. As a result the total cost function is ultimately obtained as fuzzy. Later on this cost function is defuzzified the decagonal fuzzy number to obtain a crisp cost function with allowed variations. In this study fuzzy inventory problems are solved by using Lagrangian  method with beta distribution . To determine the optimum value which is the minimize total cost. Finally, numerical examples are discussed with the proposed model.