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dc.contributor.authorPearn, WLen_US
dc.contributor.authorShu, MHen_US
dc.date.accessioned2014-12-08T15:39:50Z-
dc.date.available2014-12-08T15:39:50Z-
dc.date.issued2004-01-01en_US
dc.identifier.issn0268-3768en_US
dc.identifier.urihttp://dx.doi.org/10.1007/s00170-003-1693-zen_US
dc.identifier.urihttp://hdl.handle.net/11536/27221-
dc.description.abstractSeveral process capability indices, including C-p, C-pk, and C-pm, have been proposed to provide numerical measures on manufacturing potential and actual performance. Combining the advantages of those indices, a more advanced index C-pmk is proposed, taking the process variation, centre of the specification tolerance, and the proximity to the target value into account, which has been shown to be a useful capability index for manufacturing processes with two-sided specification limits. In this paper, we consider the estimation of C-pmk, and we develop an efficient algorithm to compute the lower confidence bounds on C-pmk based on the estimation, which presents a measure on the minimum manufacturing capability of the process based on the sample data. We also provide tables for practitioners to use in measuring their processes. A real-world example of current transmitters taken from a microelectronics device manufacturing process is investigated to illustrate the applicability of the proposed approach. Our implementation of the existing statistical theory for manufacturing capability assessment bridges the gap between the theoretical development and the in-plant applications.en_US
dc.language.isoen_USen_US
dc.subjectprocess capability indexen_US
dc.subjectlower confidence bounden_US
dc.titleMeasuring manufacturing capability based on lower confidence bounds of C-pmk applied to current transmitter processen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s00170-003-1693-zen_US
dc.identifier.journalINTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGYen_US
dc.citation.volume23en_US
dc.citation.issue1-2en_US
dc.citation.spage116en_US
dc.citation.epage125en_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:000187549000014-
dc.citation.woscount8-
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