Multivariate Hierarchical Bayesian Control Charts for High-mix Low-Volume Production
Author:
Affiliation:
1. Nagoya Institute of Technology
Publisher
The Japanese Society for Quality Control
Subject
Anesthesiology and Pain Medicine
Link
https://www.jstage.jst.go.jp/article/tqs/9/1/9_42/_pdf
Reference19 articles.
1. Bersimis, S., Sgora, A., & Psarakis, S. (2017), “Methods for interpreting the out-of-control signal of multivariate control charts: A comparison study,” Quality and Reliablity Engineering International, Vol.33, 2295-2326.
2. Champ, C. W., Jones-Farmer, L. A., & Rigdon, S. E. (2005), “Properties of the T2 control chart when parameters are estimated,” Technometrics, Vol. 47, pp. 437-445.
3. Gu, K., Jia, X., You, H., & Zhang, S. (2014), “A t‐chart for monitoring multi‐variety and small batch production run,” Quality and Reliability Engineering International, Vol. 30, pp. 287-299.
4. Hawkins, D. M. (1987), “Self-starting CUSUM charts for location and scale,” The Statistician, Vol. 36, pp. 299-315.
5. Hawkins, D. M., & Maboudou-Tchao, E. M. (2008), “Multivariate exponentially weighted moving covariance matrix,” Technometrics, Vol. 50, pp. 155-166.
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