DocumentCode :
2976274
Title :
Run-length percentiles of multivariate Poisson control charts
Author :
Kuo, T.I. ; Lin, C.S.
Author_Institution :
Dept. of Bus. Adm., Nat. Kinmen Inst. of Technol., Kinmen, Taiwan
fYear :
2009
fDate :
8-11 Dec. 2009
Firstpage :
960
Lastpage :
963
Abstract :
Average run length (ARL) is used to evaluate the performance of control charts. When the process is in-control, the run-length distribution is close to a geometric distribution. Hence, the mean of run-length distribution is ARL. When the process is not in-control, the run-length distribution may deviate from a geometric distribution. The run-length distributions have been studied for univariate and multivariate control charts. However, the run-length distributions of multivariate attribution control charts are lacking. Hence, we will investigate the run-length distribution of multivariate Poisson control charts in this study. The percentiles of the run-length distribution provide more information about the performance of multivariate Poisson control charts.
Keywords :
control charts; statistical distributions; stochastic processes; average run length; geometric distribution; multivariate Poisson control charts; run-length distributions; run-length percentiles; Control charts; Distributed computing; Fastbus; Manufacturing processes; Monitoring; Statistical distributions; Average Run Length; Multivariate Poisson Control Chart; Run Length Distribution;
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.2009.5373537
Filename :
5373537
Link To Document :
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