A new EWMA monitoring design for multivariate quality control problem

2011 ◽  
Vol 62 (5-8) ◽  
pp. 751-758 ◽  
Author(s):  
Mohammad Saber Fallah Nezhad
Keyword(s):  
Quality Control ◽  
Control Problem ◽  
Monitoring Design ◽  
Multivariate Quality Control

Application of infrared spectroscopy and multivariate quality-control methods in PVC manufacturing

2005 ◽  
Vol 554 (1-2) ◽  
pp. 207-217 ◽  
Author(s):  
Lidia Maria Bodecchi ◽  
Marina Cocchi ◽  
Marcello Malagoli ◽  
Matteo Manfredini ◽  
Andrea Marchetti
Keyword(s):  
Quality Control ◽  
Infrared Spectroscopy ◽  
Control Methods ◽  
Multivariate Quality Control

THE JOINT PREDICTIVE-POSTERIOR METHOD IN THE BAYESIAN ANALYSIS OF STRESS-STRENGTH RELIABILITY

2007 ◽  
Vol 14 (01) ◽  
pp. 29-47 ◽  
Author(s):  
T. PHAM-GIA ◽  
N. TURKKAN
Keyword(s):  
Quality Control ◽  
Bayesian Analysis ◽  
Control Problem ◽  
System Reliability ◽  
Posterior Approach ◽  
Highway Bridge ◽  
Engineering System ◽  
Strength Model ◽  
Combined Approach ◽  
Engineering Applications

The joint predictive-posterior approach to the study of the reliability of an engineering system, under a stress-strength model, is presented in this article. This new combined approach is original, is supported by charts and graphs and can be quite useful since it allows the realistic forecasting of system reliability, with known credibility levels, ahead of real experimentation and testing results. In this article, it is concretely illustrated by several engineering applications related to a highway bridge study and a quality control problem.

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