Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A control chart for the coefficient of variation

Full metadata record
DC Field Value Language
dc.contributor.authorKang, Chang W.-
dc.contributor.authorLee, Man S.-
dc.contributor.authorSeong, Young J.-
dc.contributor.authorHawkins, Douglas M.-
dc.date.accessioned2021-06-23T20:02:18Z-
dc.date.available2021-06-23T20:02:18Z-
dc.date.created2021-01-21-
dc.date.issued2007-04-
dc.identifier.issn0022-4065-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/43799-
dc.description.abstractMonitoring variability is a vital part of modern statistical process control. The conventional Shewhart R and S charts address the setting where the in-control process readings have a constant variance. In some settings, however, it is the coefficient of variation, rather than the variance, that should be constant. For example, this setting is common in clinical chemistry, and then conventional R and S charts cannot be used. This paper develops a chart, equivalent to the S chart, for monitoring the coefficient of variation using rational groups of observations.-
dc.language영어-
dc.language.isoen-
dc.publisherAmerican Society of Quality-
dc.titleA control chart for the coefficient of variation-
dc.typeArticle-
dc.contributor.affiliatedAuthorKang, Chang W.-
dc.identifier.doi10.1080/00224065.2007.11917682-
dc.identifier.scopusid2-s2.0-34047236331-
dc.identifier.wosid000245331400005-
dc.identifier.bibliographicCitationJournal of Quality Technology, v.39, no.2, pp.151 - 158-
dc.relation.isPartOfJournal of Quality Technology-
dc.citation.titleJournal of Quality Technology-
dc.citation.volume39-
dc.citation.number2-
dc.citation.startPage151-
dc.citation.endPage158-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryEngineering, Industrial-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryStatistics & Probability-
dc.subject.keywordAuthorclinical chemistry-
dc.subject.keywordAuthorprocess variability-
dc.subject.keywordAuthorstatistical process control-
dc.identifier.urlhttps://www.tandfonline.com/doi/abs/10.1080/00224065.2007.11917682-
Files in This Item
Go to Link
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > DEPARTMENT OF INDUSTRIAL & MANAGEMENT ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE