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dc.contributor.authorHuang, MLen_US
dc.contributor.authorChen, KSen_US
dc.contributor.authorLi, RKen_US
dc.date.accessioned2014-12-08T15:18:21Z-
dc.date.available2014-12-08T15:18:21Z-
dc.date.issued2005-10-01en_US
dc.identifier.issn0033-5177en_US
dc.identifier.urihttp://dx.doi.org/10.1007/s11135-005-4485-8en_US
dc.identifier.urihttp://hdl.handle.net/11536/13242-
dc.description.abstractStatistical techniques are effective and powerful means of quantifying the variability of processes, analyzing this variability with reference to product requirements, and eliminating this variability in product manufacturing. Many process capability indices have been effectively and widely used to determine whether the quality of a process meets preset targets. However, conventional process capability indices cannot be applied to assess the entire process capability of a product family with nominal-the-best specifications. This work presents a novel process capability index (C-pp(T)), which takes into account all family members. The index C-pp is a simple transformation from index C-pm, and C-pp(T) provides additional, individual information concerning the accuracy and precision of a process. Vannman's (delta, gamma)-plot [Vannman and Deleryd, Quality and Reliability Engineering International 15(3): 213-217 (1999)] is revised to compare the process capabilities of family members under both 100% inspection and sampling plans. Examples are provided to demonstrate the method's practical application.en_US
dc.language.isoen_USen_US
dc.subjectproduct familyen_US
dc.subjectprocess capability indexen_US
dc.subjectprocess yielden_US
dc.titleGraphical analysis of capability of a process producing a product familyen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s11135-005-4485-8en_US
dc.identifier.journalQUALITY & QUANTITYen_US
dc.citation.volume39en_US
dc.citation.issue5en_US
dc.citation.spage643en_US
dc.citation.epage657en_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:000231217200007-
dc.citation.woscount4-
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