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dc.contributor.authorHuang, Wei-Hengen_US
dc.contributor.authorYeh, Arthur B.en_US
dc.contributor.authorWang, Hsiuyingen_US
dc.date.accessioned2018-08-21T05:53:31Z-
dc.date.available2018-08-21T05:53:31Z-
dc.date.issued2018-01-01en_US
dc.identifier.issn1684-3703en_US
dc.identifier.urihttp://dx.doi.org/10.1080/16843703.2017.1304044en_US
dc.identifier.urihttp://hdl.handle.net/11536/144810-
dc.description.abstractAmong the statistical process control techniques, the control chart has been proven to be effective in process monitoring. The Shewhart S-chart is one of the most commonly used control charts for monitoring the process variability based on the assumption that the distribution of the quality characteristic to be monitored is normal. However, in real applications, many process distributions may follow a positively skewed distribution such as the lognormal distribution. In this study, a control chart for monitoring the standard deviation of a lognormal distribution is presented. The simulation results show that the proposed chart is more effective than the existing charts when the true value of the scale parameter of the lognormal distribution is large. A real example is used to demonstrate how the proposed chart can be applied in practice.en_US
dc.language.isoen_USen_US
dc.subjectAverage run lengthen_US
dc.subjectlognormal distributionen_US
dc.subjectPhase II monitoringen_US
dc.subjectprocess variablingen_US
dc.subjectS-charten_US
dc.titleA control chart for the lognormal standard deviationen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/16843703.2017.1304044en_US
dc.identifier.journalQUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENTen_US
dc.citation.volume15en_US
dc.citation.spage1en_US
dc.citation.epage36en_US
dc.contributor.department統計學研究所zh_TW
dc.contributor.departmentInstitute of Statisticsen_US
dc.identifier.wosnumberWOS:000429456700001en_US
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