An Inventory Model with Logarithmic Demand and Degradation over Season in Fuzzy Sense

Abstract

In this work we have studied an backlog model for damaged  products with logarthimic stipulation rate for the optimal stock of commodities which may be either constant or vary with time. This paradigmatic is developed to find the fuzzy total cost of the inventory system so as to get the lower expenditure. Time dependent deterioration of time is considered. For defuzzification the proposed model is dealt with heptagonal fuzzy numbers .Numeric illustration is dispensed to exhibit the evaluation of suggested layout.