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AuthorOsei-Aning, Richard
AuthorAbbasi, Saddam Akber
AuthorRiaz, Muhammad
Available date2020-10-13T11:00:38Z
Publication Date2017
Publication NameQuality Technology and Quantitative Management
ResourceScopus
ISSN16843703
URIhttp://dx.doi.org/10.1080/16843703.2017.1304038
URIhttp://hdl.handle.net/10576/16435
AbstractIn practice most processes are known to produce autocorrelated observations. Autocorrelation degrades the performance of control charts by producing frequent false alarms when the process is stable or makes the charts respond slowly to the detection of out-of-control states. The effects due to autocorrelation can be eliminated by using modified charts. In this procedure, the control limits of the traditional charts are adjusted to account for the autocorrelation. In this paper, we present the Mixed EWMA-CUSUM and Mixed CUSUM-EWMA modified charts for monitoring correlated data. The performance of these charts are compared to existing modified charts such as the Shewhart, CUSUM, EWMA, combined Shewhart-CUSUM and combined Shewhart-EWMA schemes using the average run length, extra quadratic loss and relative average run length measures. Examples are given to illustrate how the charts perform. 1 2017 International Chinese Association of Quantitative Management.
Languageen
PublisherTaylor and Francis Ltd.
SubjectAutocorrelation
average run length
mean shift
mixed CUSUM-EWMA
mixed EWMA-CUSUM
statistical process control
TitleMixed EWMA-CUSUM and mixed CUSUM-EWMA modified control charts for monitoring first order autoregressive processes
TypeArticle
Pagination429-453
Issue Number4
Volume Number14
dc.accessType Abstract Only


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