DEWMA control chart for the coefficient of variation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hong, Euipyo | - |
dc.contributor.author | Kang, Hae-woon | - |
dc.contributor.author | Kang, Changwook | - |
dc.date.accessioned | 2021-06-23T12:04:19Z | - |
dc.date.available | 2021-06-23T12:04:19Z | - |
dc.date.created | 2021-01-22 | - |
dc.date.issued | 2011-04 | - |
dc.identifier.issn | 1022-6680 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/39117 | - |
dc.description.abstract | When the production run is short and process parameters change frequently, it is difficult to monitor the process using traditional control charts. In such a case, the coefficient of variation (CV) is very useful for monitoring the process variability. The CV control chart, however, is not sensitive at small shift in the magnitude of CV. The CV-EWMA (exponentially weighted moving average) control chart which was developed recently is effective in detecting a small shifts of CV. In this paper, we propose the CV-DEWMA control chart, combining the DEWMA (double exponentially weighted moving average) technique. We show that CV-DEWMA control chart perform better than CV-EWMA control chart in detecting small shifts when sample size n is larger than 5. © (2011) Trans Tech Publications. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Trans Tech | - |
dc.title | DEWMA control chart for the coefficient of variation | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kang, Changwook | - |
dc.identifier.doi | 10.4028/www.scientific.net/AMR.201-203.1682 | - |
dc.identifier.scopusid | 2-s2.0-79952710276 | - |
dc.identifier.bibliographicCitation | Advanced Materials Research, v.201-203, pp.1682 - 1688 | - |
dc.relation.isPartOf | Advanced Materials Research | - |
dc.citation.title | Advanced Materials Research | - |
dc.citation.volume | 201-203 | - |
dc.citation.startPage | 1682 | - |
dc.citation.endPage | 1688 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 3 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | other | - |
dc.subject.keywordPlus | Coefficient of variation | - |
dc.subject.keywordPlus | Control chart | - |
dc.subject.keywordPlus | Control charts | - |
dc.subject.keywordPlus | Double exponentially weighted moving average(DEWMA) | - |
dc.subject.keywordPlus | EWMA control | - |
dc.subject.keywordPlus | Exponentially weighted moving average | - |
dc.subject.keywordPlus | Process parameters | - |
dc.subject.keywordPlus | Process Variability | - |
dc.subject.keywordPlus | Production run | - |
dc.subject.keywordPlus | Sample sizes | - |
dc.subject.keywordPlus | Flowcharting | - |
dc.subject.keywordPlus | Manufacture | - |
dc.subject.keywordPlus | Process control | - |
dc.subject.keywordAuthor | Coefficient of variation(CV) | - |
dc.subject.keywordAuthor | Control chart | - |
dc.subject.keywordAuthor | Double exponentially weighted moving average(DEWMA) | - |
dc.subject.keywordAuthor | Exponentially weighted moving average(EWMA) | - |
dc.identifier.url | https://www.scientific.net/AMR.201-203.1682 | - |
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