Please use this identifier to cite or link to this item: http://ir.lib.seu.ac.lk/handle/123456789/1389
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dc.contributor.authorHaalisha, M.A-
dc.contributor.authorRazmy, A.M-
dc.date.accessioned2016-03-15T04:37:33Z-
dc.date.available2016-03-15T04:37:33Z-
dc.date.issued2015-
dc.identifier.citationSouth Eastern University of Sri- Lanka, Oluvil, Sri- Lanka, ASRS-2015en_US
dc.identifier.urihttp://ir.lib.seu.ac.lk/handle/123456789/1389-
dc.description.abstractControl charts for monitoring of process variance are developed based on Shewhart, exponentially weighted moving average and cumulative sum (CUSUM) control charts for mean. In all these variance control charts, log transformation of the sample variance is used. The design procedure of this chart is complex and it is poorly understood by the industry. In this paper an attempt is made to develop CUSUM chart for monitoring standardized variance which is having several advantages over the existing charts such as sample number free design, use in the joint monitoring scheme of process mean and variance and fit to multivariate monitoring. In industrial application this chart can be used to monitor different variances in one display simultaneouslyen_US
dc.language.isoen_USen_US
dc.publisherFaculty of Applied science South Eastern University of Sri Lanka Oluvil # 32360 Sri Lankaen_US
dc.subjectCumulative sumen_US
dc.subjectIn-control signalen_US
dc.subjectAverage run lengthen_US
dc.subjectControl limitsen_US
dc.subjectProcess varianceen_US
dc.subjectShift in standard deviationen_US
dc.titleAn attempt for improving CUSUM chart for monitoring process varianceen_US
dc.typeArticleen_US
Appears in Collections:ASRS - FAS 2015

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