Full metadata record
DC FieldValueLanguage
dc.contributor.authorLin, Chen-juen_US
dc.contributor.authorPearn, W. L.en_US
dc.contributor.authorHuang, J. Y.en_US
dc.contributor.authorChen, Y. H.en_US
dc.date.accessioned2018-08-21T05:53:43Z-
dc.date.available2018-08-21T05:53:43Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn0361-0926en_US
dc.identifier.urihttp://dx.doi.org/10.1080/03610926.2017.1364392en_US
dc.identifier.urihttp://hdl.handle.net/11536/145063-
dc.description.abstractEvaluating and comparing process capabilities are important tasks of production management. Manufacturers should apply the process with the highest capability among competing processes. A process group selection method is developed to solve the process selection problem based on overall yields. The goal is to select the processes with the highest overall yield among I processes under multiple quality characteristics, I > 2. The proposed method uses Bonferroni adjustment to control the overall error rate of comparing multiple processes. The critical values and the required sample sizes for designated powers are provided for practical use.en_US
dc.language.isoen_USen_US
dc.subjectProcess selectionen_US
dc.subjectProcess capabilityen_US
dc.subjectBonferroni adjustmenten_US
dc.titleGroup selection for processes with multiple quality characteristicsen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/03610926.2017.1364392en_US
dc.identifier.journalCOMMUNICATIONS IN STATISTICS-THEORY AND METHODSen_US
dc.citation.volume47en_US
dc.citation.spage3923en_US
dc.citation.epage3934en_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:000433942000008en_US
Appears in Collections:Articles