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Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICMIT.2008.4654529
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dc.titleA study on EWMA TBE charts with transformed Weibull data
dc.contributor.authorXie, Y.J.
dc.contributor.authorZhang, H.Y.
dc.contributor.authorGoh, T.N.
dc.date.accessioned2014-06-19T04:52:57Z
dc.date.available2014-06-19T04:52:57Z
dc.date.issued2008
dc.identifier.citationXie, Y.J., Zhang, H.Y., Goh, T.N. (2008). A study on EWMA TBE charts with transformed Weibull data. Proceedings of the 4th IEEE International Conference on Management of Innovation and Technology, ICMIT : 1135-1140. ScholarBank@NUS Repository. https://doi.org/10.1109/ICMIT.2008.4654529
dc.identifier.isbn9781424423309
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/72264
dc.description.abstractSix Sigma is a set of systematic statistical tools for improving the quality of the process. Control charts as the last stage of the major Six Sigma methodology show great importance in not only maintaining the process but also improving the process. In this paper, a type of advanced control chart, EWMA chart is proposed to monitor the Weibull distributed TBE data. The recommended Box-Cox transformation method is used to transform the Weibull distributed data into approximate normal distribution before the EWMA chart can be used to monitor it. The ARL is calculated according to the Markov chain method and its properties are investigated. The guidelines for setting up an optimal EWMA chart are provided. Finally a numerical example is given to show the effectiveness of the EWMA chart for the transformed data. ©2008 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/ICMIT.2008.4654529
dc.sourceScopus
dc.subjectARL
dc.subjectEWMA chart
dc.subjectWeibull distribution
dc.typeConference Paper
dc.contributor.departmentINDUSTRIAL & SYSTEMS ENGINEERING
dc.description.doi10.1109/ICMIT.2008.4654529
dc.description.sourcetitleProceedings of the 4th IEEE International Conference on Management of Innovation and Technology, ICMIT
dc.description.page1135-1140
dc.identifier.isiut000262920500203
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