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المؤلفOsei-Aning, Richard
المؤلفAbbasi, Saddam Akber
المؤلفRiaz, Muhammad
تاريخ الإتاحة2020-10-13T11:00:38Z
تاريخ النشر2017
اسم المنشورQuality Technology and Quantitative Management
المصدرScopus
الرقم المعياري الدولي للكتاب16843703
معرّف المصادر الموحدhttp://dx.doi.org/10.1080/16843703.2017.1304038
معرّف المصادر الموحدhttp://hdl.handle.net/10576/16435
الملخصIn 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.
اللغةen
الناشرTaylor and Francis Ltd.
الموضوعAutocorrelation
average run length
mean shift
mixed CUSUM-EWMA
mixed EWMA-CUSUM
statistical process control
العنوانMixed EWMA-CUSUM and mixed CUSUM-EWMA modified control charts for monitoring first order autoregressive processes
النوعArticle
الصفحات429-453
رقم العدد4
رقم المجلد14
dc.accessType Abstract Only


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