Title :
Approach to identifying out-of-control variables in multivariate T2 control chart using AIC
Author :
Takemoto, Y. ; Tanaka, Ryo ; Arizono, Ikuo
Author_Institution :
Dept. of Manage. Informaion Syst. Hiroshima, Prefectural Univ. of Hiroshima, Hiroshima, Japan
Abstract :
The control chart is a primary tool of judging whether a manufacturing process is in-control or not. Especially, the T2 control chart is known as a multivariate control chart that monitors a mean vector of several related quality characteristics. It is an important issue to identify which quality characteristics are responsible for out-of-control signal when a multivariate control chart signals. This paper considers a method of identifying quality characteristics responsible for out-of-control signal on operating the T2 control chart.
Keywords :
control charts; statistical analysis; AIC; Akaike information criterion; manufacturing process; mean vector; multivariate T2 control chart; out-of-control signal identification; out-of-control variable identification; quality characteristics; Application software; Control charts; Correlation; Integrated circuits; Monitoring; Process control; Vectors; Akaike information criterion. Decomposition of T2 statistic; Hotelling T2 control chart; Multivariate statistical process control;
Conference_Titel :
Computational Intelligence & Applications (IWCIA), 2013 IEEE Sixth International Workshop on
Conference_Location :
Hiroshima
Print_ISBN :
978-1-4673-5725-8
DOI :
10.1109/IWCIA.2013.6624780
