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Journal of Quality Technology, 1998
An exponentially weighted moving average control chart for monitoring Poisson data is introduced. The charting procedure is evaluated using a Markov chain approximation, and its average run length is compared to other procedures for Poisson data. Figure..
Borror, Connie M. +2 more
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An exponentially weighted moving average control chart for monitoring Poisson data is introduced. The charting procedure is evaluated using a Markov chain approximation, and its average run length is compared to other procedures for Poisson data. Figure..
Borror, Connie M. +2 more
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Regression‐adjusted Poisson EWMA control chart
Quality and Reliability Engineering International, 2021AbstractExponentially weighted moving average (EWMA) control chart has a significant effect in improving product quality and is widely used in various fields. In addition to continuous data, there are many Count Data in life that need to be monitored.
Hongling Wen, Liu Liu, Xinlong Yan
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Communications in Statistics - Simulation and Computation, 2004
We propose a new charting procedure, combining two or more Exponentially Weighted Moving Averages (EWMAs), which we call a Composite EWMA (CEWMA) Control Chart. In the case of two EWMAs, the CEWMA chart corresponds to the usual combined Shewhart-EWMA chart, although our plotting procedure remain, we feel, an improvement in application and ...
Lingyun Zhang +3 more
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We propose a new charting procedure, combining two or more Exponentially Weighted Moving Averages (EWMAs), which we call a Composite EWMA (CEWMA) Control Chart. In the case of two EWMAs, the CEWMA chart corresponds to the usual combined Shewhart-EWMA chart, although our plotting procedure remain, we feel, an improvement in application and ...
Lingyun Zhang +3 more
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New EWMA charts for process variance
Quality and Reliability Engineering International, 2023AbstractThe EWMA chart is effective in detecting small shifts in the process mean or process variance. Numerous EWMA charts for the process variance have been suggested in the literature. In this article, new one‐sided and two‐sided EWMA charts are developed for monitoring the variance of a normal process.
Abdul Haq +2 more
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Variable sampling interval EWMA chart for multivariate coefficient of variation
Communications in Statistics - Theory and Methods, 2020A control chart for monitoring the multivariate coefficient of variation (MCV) is used when the focus is on monitoring the ratio of relative multivariate variability to the mean of a multivariate process.
Heba N. Ayyoub +3 more
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Quality Technology & Quantitative Management, 2005
AbstractIn this paper, we extend the exponentially weighted moving average (EWMA) technique to double exponentially weighted moving average (DEWMA) technique. We show that DEWMA mean charts perform better than EWMA mean charts in detecting small mean shifts ranging from 0.1 to 0.5 of the process standard deviation, and that the two types of charts ...
Lingyun Zhang, Gemai Chen
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AbstractIn this paper, we extend the exponentially weighted moving average (EWMA) technique to double exponentially weighted moving average (DEWMA) technique. We show that DEWMA mean charts perform better than EWMA mean charts in detecting small mean shifts ranging from 0.1 to 0.5 of the process standard deviation, and that the two types of charts ...
Lingyun Zhang, Gemai Chen
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The EWMA median chart with estimated parameters
IIE Transactions, 2015ABSTRACTThe usual practice in control charts is to assume that the chart parameters are known or can be accurately estimated from in-control historical samples and the data are free from outliers. Both of these assumptions are not realistic in practice: a control chart may involve the estimation of process parameters from a very limited number of ...
Castagliola, Philippe +2 more
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Performance evaluation of moving average-based EWMA chart for exponentially distributed process
, 2020The moving average (MA), exponentially weighted moving average (EWMA) and cumulative sum (CUSUM) control charts are popular control charts to detect small shifts quickly in process parameters.
Saddam Akber Abbasi +3 more
semanticscholar +1 more source
1992
The control problem of a production process with output Y(t) = M(t) + e(t) (e(t) being a white noise function with E(e(t)) = σ2 for all time points and M(t) := E(Y(t))) can be considered as the problem of monitoring the unknown expectation function M(t).
Joseph J. Hoegel, Hans W. Wolff
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The control problem of a production process with output Y(t) = M(t) + e(t) (e(t) being a white noise function with E(e(t)) = σ2 for all time points and M(t) := E(Y(t))) can be considered as the problem of monitoring the unknown expectation function M(t).
Joseph J. Hoegel, Hans W. Wolff
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The efficiency of the EWMA capability chart
2007 IEEE International Conference on Industrial Engineering and Engineering Management, 2007In order to monitor unstable but capable processes Castagliola & Vannman have recently suggested a procedure based on an EWMA approach, called EWMA capability chart, for monitoring Vannman's Cp(u,v)-family of capability indices and showed how their proposed approach efficiently monitors capable processes by detecting a decrease or increase of the ...
Castagliola, Philippe, Vännman, Kerstin
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