Abstract
This paper considers the problem of determining the best inventory management policy for perishable products on fish trading companies. The main objective is to determine the inventory management policy with safety stock for a probabilistic model, which maximizes the expected daily profit by considering the product, by considering that the products are perishables and only could be stored for a maximum number of days. This paper proposes a methodology based on Montecarlo simulation. Computational experiments using real world data from a fish trading company in the Colombian market shows the efficiency and the effectiveness of the proposed methodology based on the maximization of the average net profit.
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