Approach to identifying out-of-control variables in multivariate T 2 control chart using AIC

Yasuhiko Takemoto; Rumi Tanaka; Ikuo Arizono

doi:10.1109/IWCIA.2013.6624780

Approach to identifying out-of-control variables in multivariate T ² control chart using AIC

Yasuhiko Takemoto, Rumi Tanaka, Ikuo Arizono

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English
Title of host publication	2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings
Pages	39-44
Number of pages	6
DOIs	https://doi.org/10.1109/IWCIA.2013.6624780
Publication status	Published - Dec 16 2013
Event	2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Hiroshima, Japan Duration: Jul 13 2013 → Jul 13 2013

Publication series

Name	2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings

Other

Other	2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013
Country/Territory	Japan
City	Hiroshima
Period	7/13/13 → 7/13/13

Keywords

Akaike information criterion. Decomposition of T statistic
Hotelling T control chart
Multivariate statistical process control

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications

Access to Document

10.1109/IWCIA.2013.6624780

Cite this

Takemoto, Y., Tanaka, R., & Arizono, I. (2013). Approach to identifying out-of-control variables in multivariate T ² control chart using AIC. In 2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings (pp. 39-44). Article 6624780 (2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings). https://doi.org/10.1109/IWCIA.2013.6624780

Approach to identifying out-of-control variables in multivariate T ² control chart using AIC. / Takemoto, Yasuhiko; Tanaka, Rumi; Arizono, Ikuo.
2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings. 2013. p. 39-44 6624780 (2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Takemoto, Y, Tanaka, R & Arizono, I 2013, Approach to identifying out-of-control variables in multivariate T ² control chart using AIC. in 2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings., 6624780, 2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings, pp. 39-44, 2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013, Hiroshima, Japan, 7/13/13. https://doi.org/10.1109/IWCIA.2013.6624780

Takemoto Y, Tanaka R, Arizono I. Approach to identifying out-of-control variables in multivariate T ² control chart using AIC. In 2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings. 2013. p. 39-44. 6624780. (2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings). doi: 10.1109/IWCIA.2013.6624780

Takemoto, Yasuhiko ; Tanaka, Rumi ; Arizono, Ikuo. / Approach to identifying out-of-control variables in multivariate T ² control chart using AIC. 2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings. 2013. pp. 39-44 (2013 IEEE 6th International Workshop on Computational Intelligence and Applications, IWCIA 2013 - Proceedings).

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