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This work aims to select, implementand valuate a forecasting model that is best suited the studied product demand characteristics and to provide higher quality information to the productive sectors, especially to the Planning and Production Control sector (PCP). As a research method, was chosen for the case study conducted in a plastic packaging factory, a prediction model to provide more accurate information to the PCP. We selected some models currently used by the organizations, and the results of each model were confronted with the real demand. Identified what offered theminor error ordeviation. In this case study, the Box-Jenkins model for prediction that is based on the adjustment of tentative models called ARIMA, presented results with lower error rates, mainly because it is adequate for the characteristics, tendencies and seasonality of demand of the main product of the company.

APLICAÇÃO DE MODELOS DE PREVISÃO DE DEMANDA EM UMA FÁBRICA DE EMBALAGENS PLÁSTICAS