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dc.contributor.authorPearn, WLen_US
dc.contributor.authorLin, GHen_US
dc.date.accessioned2014-12-08T15:42:45Z-
dc.date.available2014-12-08T15:42:45Z-
dc.date.issued2002-03-01en_US
dc.identifier.issn0748-8017en_US
dc.identifier.urihttp://dx.doi.org/10.1002/qre.455en_US
dc.identifier.urihttp://hdl.handle.net/11536/28974-
dc.description.abstractThe process incapability index C-pp, which provides an uncontaminated separation between information concerning the process precision and process accuracy, has been proposed to measure process performance for industry applications. In this paper, we investigate the reliability of the natural estimator computationally, based on the alpha-level confidence relative error for various sample sizes. We also develop a decision-making procedure for judging if the process satisfies the preset quality requirement. The investigation is useful to the practitioners in determining the sample sizes required in their applications for the decisions reliable to the desired level. Copyright (C) 2002 John Wiley Sons, Ltd.en_US
dc.language.isoen_USen_US
dc.subjectprocess incapability indexen_US
dc.subjectnon-central chi-square distributionen_US
dc.subjectalpha-level confidence relative erroren_US
dc.titleEstimated incapability index: Reliability and decision making with sample informationen_US
dc.typeArticleen_US
dc.identifier.doi10.1002/qre.455en_US
dc.identifier.journalQUALITY AND RELIABILITY ENGINEERING INTERNATIONALen_US
dc.citation.volume18en_US
dc.citation.issue2en_US
dc.citation.spage141en_US
dc.citation.epage147en_US
dc.contributor.department工業工程與管理學系zh_TW
dc.contributor.departmentDepartment of Industrial Engineering and Managementen_US
dc.identifier.wosnumberWOS:000174981800007-
dc.citation.woscount7-
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