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Studentised residual-based EWMA control charts
2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011Taking multistage correlation process as objective, this article studies the construction and performance of studentised residual-based EWMA control charts. Residual is used to remove the effect of upstream stages on downstream stages in monitoring multistage cascade processes. In order to overcome the influence of dimension and detect small mean shift
null Zhong Jianlan, null Ma Yizhong
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Designing a Multivariate EWMA Control Chart
Journal of Quality Technology, 1997A multivariate exponentially weighted moving average control chart can be used to improve the detection of small shifts in multivariate statistical process control. Recommendations are provided for the selection of parameters for such a chart. The recom..
Sharad S. Prabhu, George C. Runger
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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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EWMA control charts for autoregressive processes
Journal of the Operational Research Society, 2001Summary: Many processes must be monitored by using observations that are correlated. An approach called algorithmic statistical process control can be employed in such situations. This involves fitting an autoregressive-moving average time series model to the data. Forecasts obtained from the model are used for active control, while the forecast errors
Koehler, A. B. +2 more
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A spatial rank‐based multivariate EWMA control chart
Naval Research Logistics (NRL), 2012AbstractNonparametric control charts are useful in statistical process control when there is a lack of or limited knowledge about the underlying process distribution, especially when the process measurement is multivariate. This article develops a new multivariate self‐starting methodology for monitoring location parameters. It is based on adapting the
Zou, Changliang +2 more
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Special Control Charts Using Intelligent Techniques: EWMA Control Charts
2015In this chapter we consider the economical design of EWMA zone control charts for set of machines operating under JPS (Jidoka Production System). We provide an extensive literature review of intelligent systems in quality control deductively to fit our purposes.
Bulut Aslan +2 more
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Performance Comparisons of EWMA Control Chart Schemes
Quality Technology & Quantitative Management, 2010AbstractCombining an EWMA chart with a Shewhart chart is traditionally recommended as a means of providing good protection against both small and large shifts in the process mean. Capizzi and Masarotto have proposed an EWMA chart with a variable smoothing constant (AEWMA) for the same purpose.
Simoes, Bruno F. T. +2 more
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A Directional Multivariate Sign EWMA Control Chart
Quality Technology & Quantitative Management, 2013In many applications the shift directions of observation vectors are limited, which allows focusing detection power on a limited subspace with improved sensitivity. This paper develops a new multivariate nonparametric statistical process control chart for monitoring location parameters, which is based on integrating a directional multivariate spatial ...
Xuemin Zi +3 more
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Ewma control chart under linear drift
Journal of Statistical Computation and Simulation, 1991An accurate numerical procedure is presented for computing the average run length (ARL) of an exponentially weighted moving average (EWMA) chart under a linear drift in the process mean. The performance of an EWMA chart is then evaluated under a linear drift in the mean.
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Rank‐Based EWMA TBEA Control Chart
Quality and Reliability Engineering InternationalABSTRACTRecently, considerable attention has been paid to the development of time between events and amplitude (TBEA) control charts. Almost all existing TBEA charts are of a parametric type. Parametric TBEA charts have the disadvantage of being very sensitive to deviations from the distributional assumptions and to the estimation of the process ...
Fernanda Otilia Figueiredo +2 more
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