Study of Some Problems of Supply Chain Management

Abstract

Finding a solution to a decision-making challenge begins with developing a mathematical framework to express it. It is essential to develop a variety of models, collect as much data as you can, and quantify it in a way that allows for analytical usage in order to do this. The main problem with this method is that some or all of the parameter values are always uncertain. As a result, you never get a optimal solution. So, it s indeed a necessity to refine the concept of fuzzy. Hence we apply the concepts of Neutrosophic Fuzzy, Hexagonal Fuzzy, Octagonal Fuzzy and Decagonal Fuzzy in various parameters of various Inventory Models to get a better optimized solution that may help our society by reducing the cost of various items. Here we have discussed about various inventory models and compared its numerical with advanced fuzzy like Neutrosophic Fuzzy, Hexagonal Fuzzy, Octagonal Fuzzy and Decagonal Fuzzy to get the best possible optimized result. newline