Traditional statistical process control charts assume that observations are independent and normally distributed about some mean. We investigate the robustness of traditional charts to data correlation when the correlation can be described by an ARMA(1,1) model. We compare the performance of the...

The most commonly used techniques in statistical process control are parametric, and thus require assumptions regarding the statistical properties of the underlying process. For example, all traditional methods of statistical process control, Shewhart control charts, CUSUM charts, and EWMA...