Stock management (Gest\~ao de estoques)
Cainan K. de Oliveira, Henrique G. Menck, Pedro Y. Takito, Eliandro, Rodrigues Cirilo, Neyva Maria Lopes Romeiro, \'Erica R. Takano Natti and, Paulo Laerte Natti

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.
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Taxonomy
TopicsBusiness and Management Studies
