Properties of VSI EWMA chart combined three accumulate-combine multivariate charts

2021 ◽  
Vol 32 (5) ◽  
pp. 953-968
Author(s):  
Duk-Joon Chnag
Keyword(s):  
Ewma Chart

Moving average EWMA chart for the Weibull distribution

2021 ◽  
pp. 1-10
Author(s):  
Nasrullah Khan ◽  
Muhammad S. Nawaz ◽  
Rehan A. K. Sherwani ◽  
Muhammad Aslam
Keyword(s):  
Weibull Distribution ◽  
Moving Average ◽  
Ewma Chart

scholarly journals EWMA Chart and Measurement Error

2004 ◽  
Vol 31 (4) ◽  
pp. 445-455 ◽  
Author(s):  
Petros Maravelakis ◽  
John Panaretos ◽  
Stelios Psarakis
Keyword(s):  
Measurement Error ◽  
Ewma Chart

Economic design of a variable sampling rate EWMA chart

2004 ◽  
Vol 36 (5) ◽  
pp. 387-399 ◽  
Author(s):  
CHANGSOON PARK ◽  
JAEHEON LEE ◽  
YOUNGIL KIM
Keyword(s):  
Sampling Rate ◽  
Economic Design ◽  
Ewma Chart ◽  
Variable Sampling

scholarly journals Monitoring process mean with a new EWMA control chart

Production ◽  
2011 ◽  
Vol 21 (2) ◽  
pp. 217-222 ◽  
Author(s):  
Yang Su-Fen ◽  
Tsai Wen-Chi ◽  
Huang Tzee-Ming ◽  
Yang Chi-Chin ◽  
Cheng Smiley
Keyword(s):  
Control Chart ◽  
Control Charts ◽  
Population Distribution ◽  
Average Run Length ◽  
Process Data ◽  
Ewma Chart ◽  
Ewma Control Chart ◽  
Simple Statistic ◽  
Run Lengths ◽  
Proper Values

In practice, sometimes the process data did not come from a known population distribution. So the commonly used Shewhart variables control charts are not suitable since their performance could not be properly evaluated. In this paper, we propose a new EWMA Control Chart based on a simple statistic to monitor the small mean shifts in the process with non-normal or unknown distributions. The sampling properties of the new monitoring statistic are explored and the average run lengths of the proposed chart are examined. Furthermore, an Arcsine EWMA Chart is proposed since the average run lengths of the Arcsine EWMA Chart are more reasonable than those of the new EWMA Chart. The Arcsine EWMA Chart is recommended if we are concerned with the proper values of the average run length.

Monitoring Process Mean and Variability with One EWMA Chart

2001 ◽  
Vol 33 (2) ◽  
pp. 223-233 ◽  
Author(s):  
Gemai Chen ◽  
Smiley W. Cheng ◽  
Hansheng Xie
Keyword(s):  
Process Mean ◽  
Ewma Chart ◽  
Monitoring Process

Optimal design of the adaptive EWMA chart for the mean based on median run length and expected median run length

2018 ◽  
Vol 16 (4) ◽  
pp. 439-458 ◽  
Author(s):  
Anan Tang ◽  
Philippe Castagliola ◽  
Jinsheng Sun ◽  
Xuelong Hu
Keyword(s):  
Optimal Design ◽  
Run Length ◽  
Ewma Chart ◽  
The Mean

Performance evaluation of moving average-based EWMA chart for exponentially distributed process

2020 ◽  
Vol 43 (4) ◽  
pp. 365-372
Author(s):  
Saddam Akber Abbasi ◽  
Muhammad Abid ◽  
Muhammad Riaz ◽  
Hafiz Zafar Nazir
Keyword(s):  
Performance Evaluation ◽  
Moving Average ◽  
Ewma Chart ◽  
Distributed Process

An adaptive EWMA chart with CUSUM accumulate error-based shift estimator for efficient process dispersion monitoring

2019 ◽  
Vol 135 ◽  
pp. 236-253 ◽  
Author(s):  
Babar Zaman ◽  
Muhammad Hisyam Lee ◽  
Muhammad Riaz ◽  
Mu'azu Ramat Abujiya
Keyword(s):  
Efficient Process ◽  
Ewma Chart ◽  
Process Dispersion
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