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OPTIMIZATION OF INVENTORY MODEL COST PARAMETERS AS FUZZY NUMBERS

Abstract

In general, the demand rate and the unit cost of the items remains constant inspite of lot size in inventory models. But in reality,

the demand rate and the unit cost of the items are connected together. In this research, demand dependent unit cost inventory

model is considered where different cost parameters, maximum inventory and the lot size of the model are taken under fuzzy

environment. First an analytic solution of the crisp model is obtained by the method of calculus where the inventory parameters

are exact and deterministic. Later, the problem is developed with fuzzy parameters where inaccuracy has been introduced through

triangular membership function

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