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dc.contributor.authorPearn, WLen_US
dc.contributor.authorShu, MHen_US
dc.contributor.authorHsu, BMen_US
dc.date.accessioned2014-12-08T15:38:52Z-
dc.date.available2014-12-08T15:38:52Z-
dc.date.issued2004-07-01en_US
dc.identifier.issn0268-3768en_US
dc.identifier.urihttp://hdl.handle.net/11536/26615-
dc.description.abstractThe multiprocess performance analysis chart (MPPAC) based on the process capability index C-pm, called C-pm MPPAC, is developed for analysing the manufacturing quality of a group of processes in a multiple process environment. The C-pm MPPAC conveys critical information of multiple processes regarding the departure of the process and process variability from one single chart. Existing research works on MPPAC are restricted to obtaining quality information from one single sample of each process ignoring sampling errors. The information provided from existing MPPAC charts, therefore, is unreliable and misleading and results in incorrect decisions. In this paper, we consider the natural estimator of C-pm based on multiple samples. Based on the natural estimator of C-pm, we consider the sampling errors by providing an explicit formula with the Matlab program to obtain the estimation accuracy of the C-pm. We tabulate the sampling accuracy of C-pm for sample size determination so that the engineers/practitioners can use it for their in-plant applications. An example of multiple precision voltage reference (PVR) processes is presented to illustrate the applicability of C-pm MPPAC for manufacturing quality control.en_US
dc.language.isoen_USen_US
dc.subjectmultiprocess performance analysis charten_US
dc.subjectmaximum likelihood estimatoren_US
dc.subjectprocess capability indexen_US
dc.subjectsample size determinationen_US
dc.titleC-pm MPPAC for manufacturing quality control applied to the precision voltage reference processen_US
dc.typeArticleen_US
dc.identifier.journalINTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGYen_US
dc.citation.volume24en_US
dc.citation.issue1-2en_US
dc.citation.spage140en_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:000222862800018-
dc.citation.woscount3-
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