Title: Optimization of Fuzzy Inventory Model for Allowable Shortage

order quantity that minimizes the fuzzy total cost function is determined using the expected.. value of a fuzzy function based on credibility theory and hence

We have presented an entropic order quantity model with fuzzy holding cost and fuzzy disposal cost for perishable items under two component demand in which the criterion is to

By assuming the demand quantity as a triangular fuzzy number, the decision makers can consider the actual situation and set the upper and lower limits of the

Set the number of components (N), unit life time distribution f(t), unit holding cost (HC), unit shortage cost (SC), emergency ordering cost (EOC), regular ordering cost

In the proposed study, a fuzzy inventory model has been developed where, we consider the demand rate is time varying and holding cost is constant .The main

When the ordering cost is at its high level, the order-up-to-level S or fixed order quantity Q is between 15 and 30, except when the unit holding cost is high, the unit

applications. Park [1987] applied the fuzzy set concepts to EOQ formula by representing the inventory carrying cost with a fuzzy number and solved the economic order

Inventory policy • Carrying cost • Ordering cost • Shortage cost • Taxonomy • Inventory model.. 2.1 What