A Control Chart for the Multivariate Coefficient of Variation

2015 ◽  
Vol 32 (3) ◽  
pp. 1213-1225 ◽  
Author(s):  
Wai Chung Yeong ◽  
Michael Boon Chong Khoo ◽  
Wei Lin Teoh ◽  
Philippe Castagliola
Keyword(s):  
Control Chart ◽  
Coefficient Of Variation ◽  
Multivariate Coefficient Of Variation

scholarly journals An EWMA control chart for the multivariate coefficient of variation

2019 ◽  
Vol 35 (6) ◽  
pp. 1515-1541 ◽  
Author(s):  
Vicent Giner‐Bosch ◽  
Kim Phuc Tran ◽  
Philippe Castagliola ◽  
Michael Boon Chong Khoo
Keyword(s):  
Control Chart ◽  
Coefficient Of Variation ◽  
Ewma Control Chart ◽  
Multivariate Coefficient Of Variation

Monitoring the coefficient of variation using a variable sample size control chart

2015 ◽  
Vol 80 (9-12) ◽  
pp. 1561-1576 ◽  
Author(s):  
Philippe Castagliola ◽  
Ali Achouri ◽  
Hassen Taleb ◽  
Giovanni Celano ◽  
Stelios Psarakis
Keyword(s):  
Sample Size ◽  
Control Chart ◽  
Coefficient Of Variation ◽  
Size Control ◽  
Variable Sample Size

DEWMA Control Chart for the Coefficient of Variation

2011 ◽  
Vol 201-203 ◽  
pp. 1682-1688 ◽  
Author(s):  
Eui Pyo Hong ◽  
Hae Woon Kang ◽  
Chang Wook Kang
Keyword(s):  
Control Chart ◽  
Coefficient Of Variation ◽  
Control Charts ◽  
Moving Average ◽  
Exponentially Weighted Moving Average ◽  
Average Technique ◽  
Small Shift ◽  
Production Run ◽  
Weighted Moving Average ◽  
Exponentially Weighted

When the production run is short and process parameters change frequently, it is difficult to monitor the process using traditional control charts. In such a case, the coefficient of variation (CV) is very useful for monitoring the process variability. The CV control chart, however, is not sensitive at small shift in the magnitude of CV. The CV-EWMA (exponentially weighted moving average) control chart which was developed recently is effective in detecting a small shifts of CV. In this paper, we propose the CV-DEWMA control chart, combining the DEWMA (double exponentially weighted moving average) technique. We show that CV-DEWMA control chart perform better than CV-EWMA control chart in detecting small shifts when sample size n is larger than 5.

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