A Multivariate Change-Point Model for Statistical Process Control

Technometrics ◽  
2006 ◽  
Vol 48 (4) ◽  
pp. 539-549 ◽  
Author(s):  
K. D Zamba ◽  
Douglas M Hawkins
Keyword(s):  
Process Control ◽  
Statistical Process Control ◽  
Change Point ◽  
Point Model ◽  
Statistical Process ◽  
Change Point Model

Distribution-Free Multivariate Control Chart Based on Change-Point Model

2014 ◽  
Vol 971-973 ◽  
pp. 1435-1439
Author(s):  
Mei Hua Duan ◽  
Xue Min Zi
Keyword(s):  
Control Chart ◽  
Change Point ◽  
Point Model ◽  
Multivariate Statistical ◽  
Statistical Process ◽  
Distribution Free ◽  
Multivariate Control Chart ◽  
The Mean ◽  
Change Point Model ◽  
Multivariate Control

It is common to monitor several quality characteristics of a process simultaneously in modern quality control, and it is called multivariate statistical process control (MSPC) in the literature. A change-point control chart for detecting shifts in the mean of a multivariate statistical process is developed for the case where the nominal value of the mean is unknown but some historical samples are available. This control chart is called distribution-free multivariate control chart based on change-point model. Its distribution robustness is a significant advantage where we usually know nothing about the underlying distribution. And the simulated results show that this approach has a good performance across the range of possible shifts.

Sign in / Sign up

Export Citation Format

Share Document