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Statistical control of Shewhart control charts
, 2018 Data availability has increased immensely in the past years, and so has the need for data analysis techniques. A key point of interest is often to use process data to detect changes in the underlying process. This applies to numerous environments, ranging from standard manufacturing processes to intelligence agencies using complex network data to ...
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Optimizing Shewhart Charts in Parallel Production Lines
, 2009 Because the author was a US Government employee at the time of publication, the publisher does not hold the copyright.
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Use of quality control methods in monitoring the purchasing behaviour of consumer panels [PDF]
, 1988 Scrimshaw, D F, Wisniewski, T K M
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Water treatment system monitoring. Shewhart control charts
Laboratory and production, 2020 I.Yu. Ilyuchenko, A.P. Chernova
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Non-parametric Shewhart control charts
Journal of Nonparametric Statistics, 2005Consider a training sample of independent random variables having an unknown strongly unimodal distribution.
Ion, R.A., Klaassen, C.A.J.
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Shewhart Control Charts in New Perspective
Sequential Analysis, 2007The effects of estimating parameters and the violation of the assumption of normality when dealing with control charts are discussed. Corrections for estimating errors and extensions of the normal control chart to parametric and nonparametric charts are investigated.
Albers, Willem, Kallenberg, Wilbert C.M.
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Estimation in Shewhart control charts: effects and corrections
Metrika, 2004The 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 ...
Albers, Willem, Kallenberg, Wilbert C.M.
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Generalization of Shewhart X~-chart
Annual Reliability and Maintainability Symposium, 2002In univariate quality control, the X~-Charts have been useful in determining whether the process mean is in control or not. It would be very useful to have a similar chart applied to the multivariate case. The existing methods do not provide all the information that a quality control practitioner would like to possess such as the indication of which ...
A.A. Houshmand, S. Golnabi, M. Frosh
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Combined Shewhart–EWMA control charts with estimated parameters
Journal of Statistical Computation and Simulation, 2010Shewhart and EWMA control charts can be suitably combined to obtain a simple monitoring scheme sensitive to both large and small shifts in the process mean. So far, the performance of the combined Shewhart–EWMA (CSEWMA) has been investigated under the assumption that the process parameters are known.
CAPIZZI, GIOVANNA, MASAROTTO, GUIDO
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2016
Process Control is the active correction of a process based on the results of process monitoring. Once the process monitoring tools have detected an assignable cause, this cause is removed to bring the process back into control. This chapter presents the process control techniques under fuzziness.
Cengiz Kahraman +2 more
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Process Control is the active correction of a process based on the results of process monitoring. Once the process monitoring tools have detected an assignable cause, this cause is removed to bring the process back into control. This chapter presents the process control techniques under fuzziness.
Cengiz Kahraman +2 more
openaire +1 more source