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A Comparison of Decision Methods for Cpk When Data are Autocorrelated
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.
Luleå University of Technology, Department of Business Administration, Technology and Social Sciences, Business Administration and Industrial Engineering.ORCID iD: 0000-0003-4222-9631
2012 (English)In: Quality Engineering, ISSN 0898-2112, E-ISSN 1532-4222, Vol. 24, no 4, p. 460-472Article 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 Cpk, 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, p. 460-472
National Category
Reliability and Maintenance
Research subject
Quality Technology and Management
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URN: urn:nbn:se:ltu:diva-10842DOI: 10.1080/08982112.2012.710165ISI: 000309123100003Scopus ID: 2-s2.0-84867036649Local ID: 9b84bc86-6817-4134-bc6a-cbd60fb9011eOAI: oai:DiVA.org:ltu-10842DiVA, id: diva2:983790
Note
Validerad; 2012; 20120810 (pedlun)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Lundkvist, PederVännman, KerstinKulahci, Murat

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