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Article: Cumulative probability control charts for geometric and exponential process characteristics

TitleCumulative probability control charts for geometric and exponential process characteristics
Authors
Issue Date2002
PublisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.asp
Citation
International Journal Of Production Research, 2002, v. 40 n. 1, p. 133-150 How to Cite?
AbstractA statistical process control chart called the cumulative probability control chart (CPC-chart) is proposed. The CPC-chart is motivated from two existing statistical control charts, the cumulative count control chart (CCC-chart) and the cumulative quantity control chart (CQC-chart). The CCC- and CQC-charts are effective in monitoring production processes when the defect rate is low and the traditional p- and c-charts do not perform well. In a CPC-chart, the cumulative probability of the geometric or exponential random variable is plotted against the sample number, and hence the actual cumulative probability is indicated on the charts, Apart from maintaining all the favorable features of the CCC- and CQC-charts, the CPC-chart is more flexible and it can resolve a technical plotting inconvenience of the CCC- and CQC-charts.
Persistent Identifierhttp://hdl.handle.net/10722/74434
ISSN
2015 Impact Factor: 1.693
2015 SCImago Journal Rankings: 1.445
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorChan, LYen_HK
dc.contributor.authorLin, DKJen_HK
dc.contributor.authorXie, Men_HK
dc.contributor.authorGoh, TNen_HK
dc.date.accessioned2010-09-06T07:01:18Z-
dc.date.available2010-09-06T07:01:18Z-
dc.date.issued2002en_HK
dc.identifier.citationInternational Journal Of Production Research, 2002, v. 40 n. 1, p. 133-150en_HK
dc.identifier.issn0020-7543en_HK
dc.identifier.urihttp://hdl.handle.net/10722/74434-
dc.description.abstractA statistical process control chart called the cumulative probability control chart (CPC-chart) is proposed. The CPC-chart is motivated from two existing statistical control charts, the cumulative count control chart (CCC-chart) and the cumulative quantity control chart (CQC-chart). The CCC- and CQC-charts are effective in monitoring production processes when the defect rate is low and the traditional p- and c-charts do not perform well. In a CPC-chart, the cumulative probability of the geometric or exponential random variable is plotted against the sample number, and hence the actual cumulative probability is indicated on the charts, Apart from maintaining all the favorable features of the CCC- and CQC-charts, the CPC-chart is more flexible and it can resolve a technical plotting inconvenience of the CCC- and CQC-charts.en_HK
dc.languageengen_HK
dc.publisherTaylor & Francis Ltd. The Journal's web site is located at http://www.tandf.co.uk/journals/titles/00207543.aspen_HK
dc.relation.ispartofInternational Journal of Production Researchen_HK
dc.titleCumulative probability control charts for geometric and exponential process characteristicsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=0020-7543&volume=40&issue=1&spage=133&epage=150&date=2002&atitle=Cumulative+probability+control+charts+for+geometric+and+exponential+process+characteristicsen_HK
dc.identifier.emailChan, LY: plychan@hku.hken_HK
dc.identifier.authorityChan, LY=rp00093en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1080/00207540110073073en_HK
dc.identifier.scopuseid_2-s2.0-0037050383en_HK
dc.identifier.hkuros71256en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0037050383&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume40en_HK
dc.identifier.issue1en_HK
dc.identifier.spage133en_HK
dc.identifier.epage150en_HK
dc.identifier.isiWOS:000173242200008-
dc.publisher.placeUnited Kingdomen_HK
dc.identifier.scopusauthoridChan, LY=7403540482en_HK
dc.identifier.scopusauthoridLin, DKJ=7403692320en_HK
dc.identifier.scopusauthoridXie, M=9634359100en_HK
dc.identifier.scopusauthoridGoh, TN=7102539920en_HK

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