In this paper, an inventory replenishment model for deteriorating items is developed. Demand for the item varies with time over a finite planning horizon, during which shortages are allowed and are completely back-ordered. The objective is to determine a replenishment policy that minimizes the total inventory cost. A search procedure based on Genetic Algorithm (GA) is presented and illustrated with some numerical results.
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