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The Comparison of EWMA control chart with shewhart and CUSUM control charts by simulation

, 1997
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A Shewhart chart with alternated charting statistic to control multivariate Poisson processes

Computers and Industrial Engineering, 2020
Abstract In this article, a Shewhart c chart with alternating charting statistic (ACS Poisson chart) is proposed to control multivariate Poisson processes. Considering the bivariate case, where we have the occurrence of X and Y defects; if the current sample point is cx (cy), the number of X (Y) defects, then the next sample point will be cy (cx ...
Roberto Campos Leoni, Antonio F B Costa
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Non-parametric Shewhart control charts

Journal of Nonparametric Statistics, 2005
Consider 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, 2007
The 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, 2004
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 ...
Albers, Willem, Kallenberg, Wilbert C.M.
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The importance of time order with Shewhart control charts

Quality and Reliability Engineering International, 2017
AbstractIn Phase I analysis, data are used retrospectively to check process stability and to establish limits that will be later used in Phase II for the prospective monitoring. It is clear that the results of Phase I analysis are of crucial importance for the right interpretation of control chart during Phase II. Many of recent papers devoted to Phase
V. Shper, Y. Adler
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A Nonparametric Shewhart-Type Synthetic Control Chart

Communications in Statistics - Simulation and Computation, 2010
In this article, we provide a nonparametric Shewhart-type synthetic control chart based on the signed-rank statistic to monitor shifts in the known in-control process median. The synthetic control chart is a combination of a signed-rank chart due to Bakir (2004) and a conforming run length chart due to Bourke (1991).
V. Y. Pawar, Digambar T. Shirke
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On the α-risks for shewhart control charts

Communications in Statistics - Simulation and Computation, 1992
The performance of the usual Shewhart control charts for monitoring process means and variation can be greatly affected by nonnormal data or subgroups that are correlated. Define the αk-risk for a Shewhart chart to be the probability that at least one “out-of-control” subgroup occurs in k subgroups when the control limits are calculated from the k ...
C.S. Padgett, L.A. Thombs, W.J. Padgett
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Computation of the Performance of Shewhart Control Charts

IFAC Proceedings Volumes, 2004
Abstract The perfonnance of a control chart in statistical process control is often quantified in terms of the Average Run length (ARL). The ARL enables a comparison to be undertaken between various monitoring strategies. These are often detennined through Monte Carlo simulation studies.
Pieter Mulder, Julian Morris, Elaine B. Martin   +2 more
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