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A comparison of decision methods for C-pk when data are autocorrelated
Umeå University, Faculty of Social Sciences, Umeå School of Business and Economics (USBE), Statistics.
2012 (English)In: Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222, Vol. 24, no 4, 460-472 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2012. Vol. 24, no 4, 460-472 p.
Keyword [en]
autocorrelation; C-pk; capability index; continuous process; process industry
National Category
Probability Theory and Statistics
URN: urn:nbn:se:umu:diva-60660DOI: 10.1080/08982112.2012.710165ISI: 000309123100003OAI: diva2:562818
Available from: 2012-10-26 Created: 2012-10-22 Last updated: 2012-10-26Bibliographically approved

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Vännman, Kerstin
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