MONITORAMENTO DOS DEFEITOS EM FERRO FUNDIDO USANDO RESÍDUOS DE MODELOS AUTOREGRESSIVOS
The purpose of this study is to monitor the index of general waste irons forecasting nodular and
gray using the residues originated from the methodology Box & Jenkins by means of X-bar and R
control charts. Search is to find a general class of model ARIMA (p, d, q) but as data have
autocorrelation is found to the number of residues which allowed the application of charts. The
found model was the model SARIMA (0,1,1)(0,1,1 12 ) . In step of checking the stability of the model
was found that some comments are out of control due to temperature and chemical composition.
PaperID: p 227-238
Author's Name: Vanusa Andrea Casarin, Adriano Mendonça Souza and Jaime Alvares Spim
Volume: Volume 3
Issues: Volume 3
Keywords: Control charts, time series, residues, Box & Jenkins methodology, index of general waste.