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