SUPPLY CHAIN MODELING WITH UNCERTAINTY IN DEMAND AND SUPPLY USING FUZZY LOGIC

In this paper, we have analyzed a serial operational level Supply Chain Performance like fill rate, Build –To - Stock etc., under an uncertainty environment for the optimality using a stochastic customer order. It evaluates minimum cost in supply chain, simultaneously optimize quantitative decision variables and illustrates the significance of capacity variable. Numerical examples are presented to illustrate the benefit of the proposed strategies and the effects of changes on the cost and parameters are studied.