There is a great need to stock materials for production, but storing
materials comes at a cost. Lack of organization in the inventory can result in
a very high cost for the final product, in addition to generating other
problems in the production chain. In this work we present mathematical and
statistical methods applicable to stock management. The stock analysis using
ABC curves serves to identify which are the priority items, the most expensive
and with the highest turnover (demand), and thus determine, through stock
control models, the purchase lot size and the periodicity that minimize the
total costs of storing these materials. Using the Economic Order Quantity (EOQ)
model and the (Q,R) model, the inventory costs of a company were minimized. The
comparison of the results provided by the models was performed.Comment: In Portuguese, 17 pages, 12 figures, 7 tables. Conference SEMAT201