ABSTRACT
In many industrial applications, autocorrelated data are becoming increasingly common due to, for example, on-line data collection systems with high-frequency sampling. Therefore, the basic assumption of independent observations for process capability analysis is not valid.
The purpose of this article is to compare decision methods using the process capability index C pk when data are autocorrelated. This is done through a case study followed by a simulation study. In the simulation study the actual significance level and power of the decision methods are investigated. The outcome of the article is that two methods appeared to be better than the others.
ACKNOWLEDGMENT
The authors are grateful for the financial support provided by Produktion Botnia. The authors also thank Swedish Steel AB for access to process data. Special thanks to Per Lagerwall at Swedish Steel AB for valuable support. Furthermore, thanks to Bjarne Bergquist and Erik Vanhatalo at Luleå University of Technology for valuable comments on earlier drafts.