Title :
Regression-based limits for multivariate poisson control chart
Author :
Kuo, T.I. ; Chiu, J.E.
Author_Institution :
Dept. of Bus. Adm., Nat. Kinmen Inst. of Technol., Taiwan
Abstract :
C-charts and U-charts are widely applied for Poisson distribution to monitor the number of defects in the univariate process. More than one quality characteristic for attribute data with Poisson distribution is of interest in many industrial applications. A control chart is constructed for monitoring multivariate Poisson count data, called the MP chart. The MP chart is constructed based on the sum of defects or nonconformities in one single control chart. In this study, the control limits in the multivariate Poisson process are estimated by using multiple linear regression model since the calculation of control limits is complicated. Two examples are provided to illustrate the effectiveness of this approach.
Keywords :
Poisson distribution; control charts; process control; process monitoring; quality control; regression analysis; Poisson distribution; linear regression model; monitoring process quality; multivariate Poisson control chart; regression-based limit; Control charts; Engineering management; Industrial engineering; Linear regression; Monitoring; Quality control; Statistical distributions; Technology management; Attribute control chart; multiple linear regression model; multivariate Poisson distribution;
Conference_Titel :
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-2629-4
Electronic_ISBN :
978-1-4244-2630-0
DOI :
10.1109/IEEM.2008.4738232