An attempt for improving CUSUM chart for monitoring process variance

Haalisha, M.A; Razmy, A.M

dc.contributor.author	Haalisha, M.A
dc.contributor.author	Razmy, A.M
dc.date.accessioned	2016-03-15T04:37:33Z
dc.date.available	2016-03-15T04:37:33Z
dc.date.issued	2015
dc.identifier.citation	South Eastern University of Sri- Lanka, Oluvil, Sri- Lanka, ASRS-2015	en_US
dc.identifier.uri	http://ir.lib.seu.ac.lk/handle/123456789/1389
dc.description.abstract	Control 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 simultaneously	en_US
dc.language.iso	en_US	en_US
dc.publisher	Faculty of Applied science South Eastern University of Sri Lanka Oluvil # 32360 Sri Lanka	en_US
dc.subject	Cumulative sum	en_US
dc.subject	In-control signal	en_US
dc.subject	Average run length	en_US
dc.subject	Control limits	en_US
dc.subject	Process variance	en_US
dc.subject	Shift in standard deviation	en_US
dc.title	An attempt for improving CUSUM chart for monitoring process variance	en_US
dc.type	Article	en_US