Fuzzy logic applied to the decision support measures of the plastic packaging production management system

Maycon Bentes dos Santos, Manoel Henrique Reis Nascimento, David Barbosa De Alencar, Jorge De Almeida Brito Junior

Fuzzy logic, production cycle and shift adaptation.

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

10.22161/ijaers.710.34