Applications Residual Control Charts Based on Variable Limits

Souza, F. M.; Souza, A.M.; Zanini, R.R.; REICHERT, B.; LIMA JUNIOR, A. V.

http://hdl.handle.net/10400.26/48791

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
2015_Applications_Residual_Control_Charts_Based_on_Variable_Limits.pdf		547.27 KB	Adobe PDF	Download

Send Feedback

Authors

Abstract(s)

The main purpose of this paper is to verify the stability of a productive process in the presence of the effects of autocorrelation and volatility, in order to capture these characteristics by a joint forecast model which produces residuals that are evaluated by a control chart based on variable control limits. The methodology employed will be the joint estimation of the residuals by ARIMA – ARCH models and the conditional standard deviation from residuals to establish the chart control limits. The joint AR (1)-ARCH (1) model shows that an appropriate forecasting model brings a great contribution to the performance of residual control charts in monitoring the stability of industrial variables using just one chart to monitor mean and variance together.