Stock management (Gest\~ao de estoques)

TL;DR

This paper discusses mathematical and statistical methods for optimizing stock management, focusing on reducing inventory costs through models like EOQ and (Q,R), and prioritizing items using ABC analysis.

Contribution

It introduces a combined approach using ABC analysis and inventory control models to optimize stock management and minimize costs.

Findings

ABC analysis identifies priority inventory items.

EOQ and (Q,R) models effectively reduce inventory costs.

Comparison shows model effectiveness varies by context.

Abstract

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.