(Universidade Federal do Pará, 2021-09-30) MACIEL, Gerberson das Chagas gomes; FERREIRA, Josiel Lobato; http://lattes.cnpq.br/0187722217624180; https://orcid.org/0000-0003-0345-3526
Faced with a highly competitive scenario, this study aims to develop a tool that analyzes
the stocks based on fuzzy logic inferences, when the output variable is the stock level and
the customer demand and the production plan are the input variables. Providing the
companies a better management of their stock levels. In addition to ensuring an efficient
production system and optimizing the occupation of locations in the finished product
stock. Through this research, the stock level analyzes were performed using the fuzzy
toolbox of the Matlab software version 2015a, in models of a product aimed at the
automotive segment, manufactured by a company from the Industrial Pole of Manaus.
After the analysis, several situations as excess and lack of parts in stock were identified,
in addition to large variations in the production plan. After applying the analysis tool, the
normal level of stock rose from 20% to 93%, the excess rate and the risk of delivery
failures were eliminated, as well as the variation in the production plan. These results
allowed the validation of the tool's effectiveness, which proved to be applicable in any
type of stock, in any type of company.
