On an Adaptive Acceptance Control Chart for Autocorrelated Processes

1992 ◽  
pp. 138-154
Author(s):  
P. Thyregod ◽  
H. Madsen
Keyword(s):  
Control Chart ◽  
Autocorrelated Processes ◽  
Acceptance Control

The Reverse Moving Average Control Chart for Monitoring Autocorrelated Processes

2003 ◽  
Vol 35 (2) ◽  
pp. 139-152 ◽  
Author(s):  
John N. Dyer ◽  
Benjamin M. Adams ◽  
Michael D. Conerly
Keyword(s):  
Control Chart ◽  
Moving Average ◽  
Autocorrelated Processes ◽  
Average Control

scholarly journals Residual-based maximum MCUSUM control chart for joint monitoring the mean and variability of multivariate autocorrelated processes

2019 ◽  
Vol 7 (1) ◽  
pp. 364-394 ◽  
Author(s):  
Hidayatul Khusna ◽  
Muhammad Mashuri ◽  
Suhartono ◽  
Dedy Dwi Prastyo ◽  
Muhammad Hisyam Lee ◽  
...  
Keyword(s):  
Control Chart ◽  
Autocorrelated Processes ◽  
Joint Monitoring ◽  
The Mean

A Directional Multivariate Control Chart for Monitoring Univariate Autocorrelated Processes

2012 ◽  
Vol 217-219 ◽  
pp. 2607-2613
Author(s):  
Wen Wan Yang ◽  
Xue Min Zi ◽  
Chang Liang Zou
Keyword(s):  
Control Chart ◽  
Moving Average ◽  
Sign Test ◽  
Directional Information ◽  
Autocorrelated Process ◽  
Autocorrelated Processes ◽  
Multivariate Control Chart ◽  
The Mean ◽  
Multivariate Control ◽  
Weighted Moving Average

A new nonparametric multivariate control chart, based on a spatial-sign test and integrating the directional information from processes with the exponentially weighted moving average (EWMA) scheme, is developed for monitoring the mean of a univariate autocorrelated process. Simulation studies show that it has robustness in in-control (IC) performance, and it is more sensitive to the small and moderate mean shifts for non-normality underlying process than other existing multivariate chart methods.

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