Lógica fuzzy aplicada nas medidas de apoio à tomada de decisões do sistema de gerenciamento de produção de embalagens plásticas

Abstract

Currently the automation through decision support systems, plays a fundamental role in the productive chain, from small to large companies, the present study proposes a fuzzy inference model, in the support in the decision measures of the production management system of plastic packaging factory. Analyzing the distinctions of forceful form of each step that end up influencing in the process, and aiming to adapt to the requests of the clients. Using as principle for the proposed system the adequacy of shifts using the maximum output that the factory has. MatLab software was used to treat the data, thus adjusting the variables, which were selected due to their degree of influence in the cycle because they are variables that determine the order of the product's manufacturing, they are: delivery period, quantity required, process production and the number of shifts that will be required to produce a given product, observing with the use of this tool an improvement in the management of shifts, which reduced unnecessary costs and a good understanding in the production cycle in relation to the characteristics of the orders.