DocumentCode
2972163
Title
A CUSUM chart using absolute sample values to monitor process mean and variance
Author
Wu, Zhang ; Yang, Mei
Author_Institution
Sch. of Mech. & Aerosp. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear
2009
fDate
8-11 Dec. 2009
Firstpage
414
Lastpage
418
Abstract
In Statistical Process Control (SPC), when dealing with a quality characteristic x that is a variable, it is usually necessary to monitor both the mean value and variability. By inspecting the absolute value of sample mean shift, a single CUSUM chart (called the ABS CUSUM chart) has been devised by an optimization algorithm and fully investigated for this purpose. The optimization algorithm (called the holistic algorithm) facilitates the determination of the charting parameters of the charts and increases their overall detection effectiveness. The results of performance studies show that the overall performance of the ABS CUSUM chart is as good as an optimal 3-CUSUM scheme (a scheme incorporating three individual CUSUM charts). However, since the ABS CUSUM chart is easier for implementation and design, it may be more suitable for many SPC applications in which both mean and variance of a variable have to be monitored.
Keywords
control charts; optimisation; quality control; statistical process control; CUSUM chart; absolute sample value; holistic algorithm; optimal 3-CUSUM scheme; optimization algorithm; process mean monitoring; statistical process control; variability; Aerospace engineering; Control charts; Design optimization; Gaussian distribution; Markov processes; Monitoring; Process control; Quality control; Signal design; Statistics; Markov processes; Quality control; loss function; quality control chart; statistical process control;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-4869-2
Electronic_ISBN
978-1-4244-4870-8
Type
conf
DOI
10.1109/IEEM.2009.5373322
Filename
5373322
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