Journal
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
Volume 51, Issue 18, Pages 5644-5657Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2013.793427
Keywords
bootstrap; clustering algorithm; Hotelling's T-2; multivariate control chart; TFT-LCD
Categories
Funding
- Basic Science Research Program through the National Research Foundation of Korea
- Ministry of Science, ICT and Future Planning [2013007724]
- Ministry of Knowledge Economy in Korea under the IT R&D Infrastructure Program [NIPA-2011-(B1110-1101-0002)]
Ask authors/readers for more resources
Statistical process control techniques have been widely used to improve processes by reducing variations and defects. In the present paper, we propose a multivariate control chart technique based on a clustering algorithm that can effectively handle a situation in which the distribution of in-control observations is inhomogeneous. A simulation study was conducted to examine the characteristics of the proposed control chart and to compare them with Hotelling's T-2 multivariate control charts that are widely used in real-world processes. Moreover, an experiment with real data from the thin film transistor liquid crystal display (TFT-LCD) manufacturing process demonstrated the effectiveness and accuracy of the proposed control chart.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available