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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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Fuzzy EWMA and Fuzzy CUSUM Control Charts
2016Exponentially Weighted Moving- Averages (EWMA) and Cumulative-Sum (CUSUM) control charts have the ability of detecting small shifts in the process mean. Classical EWMA and CUSUM charts are not capable to capture the uncertainty in case of incomplete data.
Erginel, Nihal, Şentürk, Sevil
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Linking EWMA p Charts and the Risk Adjustment Control Charts
Quality and Reliability Engineering International, 2016This paper develops an adaptive exponentially weighted moving average (EWMA) chart that can be used as either a p chart for monitoring significant departures from in‐control non‐homogenous probabilities of failure or success or a risk‐adjusted control chart for success or failure of an event.
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Symmetry
Control charts are frequently used instruments for process quality monitoring. Another name for the NEEWMA control chart is the new extended exponentially weighted moving average (new extended EWMA) control chart.
Kotchaporn Karoon, Y. Areepong
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Control charts are frequently used instruments for process quality monitoring. Another name for the NEEWMA control chart is the new extended exponentially weighted moving average (new extended EWMA) control chart.
Kotchaporn Karoon, Y. Areepong
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On EWMA Charts for Time Series
1997Several authors have studied the effect of autocorrelation on the average run length of the Shewhart, EWMA and CUSUM chart, if the underlying observations are autocorrelated (e. g. Johnson and Bagshaw [12], Bagshaw and Johnson [3], Harris and Ross [11], Maragah and Woodall [14], Alwan [2]). As it has turned out, autocorrelation has a profound impact on
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A Multivariate Poisson Adaptive EWMA Control Chart
Quality and Reliability Engineering InternationalABSTRACTThe Multivariate Exponentially Weighted Moving Average (MEWMA) control chart is a highly recommended chart in the literature to monitor processes with the aim of detecting small and moderate process shifts. The MEWMA chart is designed to detect a predetermined shift size but not a range of different shift sizes simultaneously.
Aya A. Aly +2 more
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A Johnson's Type Transformation EWMA-S2 Control Chart
2010This article demonstrates how a four parameters (bounded) Johnson SB transformation combined with an EWMA approach can be used to monitor the sample variance of a process. The resulting chart will be called an EWMA-J-S2 chart. In this article, the computation of both the control limits and the parameters of the Johnson SB transformation of the EWMA-J ...
CASTAGLIOLA P +2 more
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A critical note on the exponentiated EWMA chart
Statistical PapersAbdul Haq, W. Woodall
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EWMA Control Charts Using Attributes Data
The Statistician, 1993Anothai Trevanich, Patrick Bourke
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