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New generalization of process capability index C-pk

dc.citation.epage810en_US
dc.citation.issue6en_US
dc.citation.spage801en_US
dc.citation.volume25en_US
dc.contributor.authorPearn, WLen_US
dc.contributor.authorChen, KSen_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.date.accessioned2014-12-08T15:47:16Z
dc.date.available2014-12-08T15:47:16Z
dc.date.issued1998-12-01en_US
dc.description.abstractThe process capability index C-pk has been widely used in manufacturing industry to provide numerical measures of process potential and performance. As noted by many quality control researchers and practitioners, C-pk is yield-based and is independent of the target I: This fails to account for process centering with symmetric tolerances, and presents an even greater problem with asymmetric tolerances. To overcome the problem, several generalizations of C-pk have been proposed to handle processes with asymmetric tolerances. Unfortunately, these generalizations understate or overstate the process capability in many cases, so reflect the process potential and performance inaccurately. In this paper, we first introduce a new index C-pk", which is shown to be superior to the existing generalizations of C-pk We then investigate the statistical properties of the natural estimator of C-pk", assuming that the process is normally distributed.en_US
dc.identifier.issn0266-4763en_US
dc.identifier.journalJOURNAL OF APPLIED STATISTICSen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/31716
dc.language.isoen_USen_US
dc.titleNew generalization of process capability index C-pken_US
dc.typeArticleen_US

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