DocumentCode :
1824533
Title :
Linear profile monitoring using an adaptive EWMA control chart
Author :
Capizzi, Giovanna ; Masarotto, Guido
Author_Institution :
Dept. of Stat. Sci., Univ. of Padua, Padua, Italy
fYear :
2010
fDate :
7-10 Dec. 2010
Firstpage :
1425
Lastpage :
1429
Abstract :
A novel adaptive Exponentially Weighted Moving Average scheme, called AEWMA3, is suggested for monitoring the stability of a linear relationship between a quality characteristic and an explanatory variable. Comparisons with an analogous non-adaptive scheme points to a better overall performance of the suggested scheme in a variety of out-of-control scenarios. In addition, since a single AEWMA3 chart is able to quickly detect both small and large shifts, its practical design is simpler than that of other competing control charts.
Keywords :
control charts; process monitoring; quality control; stability; statistical process control; AEWMA3; adaptive EWMA control chart; adaptive exponentially weighted moving average scheme; analogous nonadaptive scheme; explanatory variable; linear profile monitoring; linear relationship; out-of-control scenarios; quality characteristic; stability monitoring; statistical process control; Control charts; Least squares approximation; Mathematical model; Monitoring; Process control; Smoothing methods; Stability analysis; Adaptive Control Charts; Exponentially Weighted Moving Average; Profile Monitoring; Statistical Process Control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
ISSN :
2157-3611
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
Type :
conf
DOI :
10.1109/IEEM.2010.5674339
Filename :
5674339
Link To Document :
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