完整後設資料紀錄
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dc.contributor.authorWu, C. H.en_US
dc.contributor.authorPearn, W. L.en_US
dc.date.accessioned2015-12-02T02:59:41Z-
dc.date.available2015-12-02T02:59:41Z-
dc.date.issued2015-07-01en_US
dc.identifier.issn0090-3973en_US
dc.identifier.urihttp://dx.doi.org/10.1520/JTE20140020en_US
dc.identifier.urihttp://hdl.handle.net/11536/128445-
dc.description.abstractProcess precision index Cp has been used widely in the manufacturing industry for measuring process potential and precision. In practice, sample data with various types such as one single random sample, multiple random samples, control chart samples, and samples with gauge measurement errors may be employed to estimate the Cp index for evaluating the process potential capability. If the process is perfectly centered in the specification range, the percentage of process non-conforming (%NC) can be expressed by Cp index. In this paper, a review for estimating and testing of Cp index is presented. Some efficient MATLAB programs and illustrative examples are also provided for each type of sample data.en_US
dc.language.isoen_USen_US
dc.subjectcritical valueen_US
dc.subjecthypothesis testingen_US
dc.subjectlower confidence bounden_US
dc.subjectprocess capability indexen_US
dc.subjectsample typesen_US
dc.titleEstimating Process Capability Index C-p with Various Sample Types: A Practical Implementationen_US
dc.typeArticleen_US
dc.identifier.doi10.1520/JTE20140020en_US
dc.identifier.journalJOURNAL OF TESTING AND EVALUATIONen_US
dc.citation.volume43en_US
dc.citation.spage906en_US
dc.citation.epage916en_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:000364050800024en_US
dc.citation.woscount0en_US
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