New Shewhart-EWMA and Shewhart-CUSUM Control Charts for Monitoring Process Mean
نویسندگان
چکیده
منابع مشابه
Estimation in Shewhart control charts
The influence of the estimation of parameters in Shewhart control charts is investigated. It is shown by simulation and asymptotics that (very) large sample sizes are needed to accurately determine control charts if estimators are plugged in. Correction terms are developed to get accurate control limits for common sample sizes in the in-control situation. Simulation and theory show that the new...
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The combination of Shewhart control charts and an exponentially weighted moving average (EWMA) control charts to simultaneously monitor shifts in the mean output of a production process has proven very effective in handling both small and large shifts. To improve the sensitivity of the control chart to detect off-target processes, we propose a combined Shewhart-EWMA (CSEWMA) control chart for m...
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Process safety is a critical component in various process industries. Statistical process monitoring techniques were initially developed to maximize efficiency and productivity, but over the past few decades with catastrophic industrial disasters, process safety has become a top priority. Sensors play a crucial role in recording process measurements, and according to the number of monitored var...
متن کاملOn Shewhart Control Charts for Zero-Truncated Negative Binomial Distributions
* Department of Mathematical and Physical Sciences, College of Arts and Sciences, University of Nizwa, P. O. Box 33, PC 616, Birkat Al Mouz, Oman e-mail: [email protected]; [email protected] ** Department of Statistics, St. Anthony’s College, Shillong, Meghalaya, India e-mail: [email protected]
متن کاملAn Investigation of Combinations of Multivariate Shewhart and MEWMA Control Charts for Monitoring the Mean Vector and Covariance Matrix
When monitoring a process which has multivariate normal variables, the Shewhart-type control chart (Hotelling (1947)) traditionally used for monitoring the process mean vector is effective for detecting large shifts, but for detecting small shifts it is more effective to use the multivariate exponentially weighted moving average (MEWMA) control chart proposed by Lowry et al. (1992). It has been...
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ژورنال
عنوان ژورنال: Scientia Iranica
سال: 2018
ISSN: 2345-3605
DOI: 10.24200/sci.2018.4962.1011