Publication Cover
Journal of Quality Technology
A Quarterly Journal of Methods, Applications and Related Topics
Volume 44, 2012 - Issue 3
216
Views
72
CrossRef citations to date
0
Altmetric
Articles

A Variable-Selection-Based Multivariate EWMA Chart for Process Monitoring and Diagnosis

, &
Pages 209-230 | Published online: 21 Nov 2017

References

  • Apley, D. W. and Lee, H. Y. (2003). “Identifying Spatial Variation Patterns in Multivariate Manufacturing Processes: A Blind Separation Approach”. Technometrics 45 (3), pp. 220–234.
  • Apley, D. W. and Lee, H. Y. (2010). “Simultaneous Identification of Premodeled and Unmodeled Variation Patterns”. Journal of Quality Technology 42 (1), pp. 36–51.
  • Box, G. E. P. and Meyer, R. D. (1993). “Finding the Active Factors in Fractionated Screening Experiments”. Journal of Quality Technology 25 (2), pp. 94–105.
  • Chenouri, S.; Steiner, S. H.; and Variyath, A. M. (2009). “A Multivariate Robust Control Chart for Individual Observations”. Journal of Quality Technology 41 (3), pp. 259–271.
  • Choi, S. W.; Martin, E. B.; Morris, A. J.; and Lee, I. B. (2006). “Adaptive Multivariate Statistical Process Control for Monitoring Time-Varying Processes”. Industrial # Engineering Chemistry Research 45 (9), pp. 3108–3118.
  • Ding, Y.; Elsayed, E. A.; Kumara, S.; Lu, J. C.; Niu, F.; and Shi, J. (2006). “Distributed Sensing for Quality and Productivity Improvements”. IEEE Transactions on Automation Science and Engineering 3 (4), pp. 344–359.
  • Dunia, R.; Qin, S.; Edgar, T.; and McAvoy, T. (1996). “Identification of Faulty Sensors Using Principal Component Analysis”. AIChe Journal 42 (10), p. 2797.
  • Girshick, M. A. and Rubin, H. (1952). “A Bayes Approach to a Quality Control Model”. Annals of Mathematical Statistics 23 (1), pp. 114–125.
  • Gonzalez, I. and Sanchez, I. (2008). “Principal Alarms in Multivariate Statistical Process Control”. Journal of Quality Technology 40 (1), pp. 19–30.
  • Han, D.; Tsung, F.; Hu, X.; and Wang, K. (2007). “CUSUM and EWMA Multi-Charts for Detecting a Range of Mean Shifts”. Statistica Sinica 17 (3), pp. 1139–1164.
  • Hawkins, D. M. (1991). “Multivariate Quality-Control Based on Regression-Adjusted Variables”. Technometrics 33 (1), pp. 61–75.
  • Hawkins, D. M. (1993). “Regression Adjustment for Variables in Multivariate Quality Control”. Journal of Quality Technology 25 (3), pp. 170–182.
  • Hawkins, D. M. and Maboudou-Tchao, E. M. (2008). “Multivariate Exponentially Weighted Moving Covariance Matrix”. Technometrics 50 (2), pp. 155–166.
  • Huwang, L. C.; Yeh, A. B.; and Wu, C. W. (2007). “Monitoring Multivariate Process Variability for Individual Observations”. Journal of Quality Technology 39 (3), pp. 258–278.
  • Jiang, W.; Au, T.; and Tsui, K. (2007). “A Statistical Process Control Approach to Business Activity Monitoring”. IIE Transactions 39 (3), pp. 235–249.
  • Jiang, W. and Tsui, K.-L. (2008). “A Theoretical Framework and Efficiency Study of Multivariate Control Charts”. IIE Transactions on Quality and Reliability Engineering 40 (7), pp. 650–663.
  • Lucas, J. and Saccucci, M. (1990). “Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements”. Technometrics 32, pp. 1–12.
  • Mason, R. L.; Tracy, N. D.; and Young, J. C. (1995). “Decomposition of T2 for Multivariate Control Chart Interpretation”. Journal of Quality Technology 27 (2), pp. 99–108.
  • Mason, R. L. and Young, J. C. (1999). “Improving the Sensitivity of the T2 Statistic in Multivariate Process Control”. Journal of Quality Technology 31 (2), pp. 155–165.
  • Mason, R. L. and Young, J. C. (2002). Multivariate Statistical Process Control with Industrial Applications. Philadelphia, PA: American Statistical Association and Society for Industrial Mathematics.
  • Mastrangelo, C. M.; Runger, G. C.; and Montgomery, D. C. (1996). “Statistical Process Monitoring with Principal Components”. Quality and Reliability Engineering International 12, pp. 203–210.
  • Montgomery, D. C. (2005). Introduction to Statistical Quality Control. Hoboken, NJ: John Wiley.
  • Pignatiello, J. J. and Runger, G. C. (1990). “Comparisons of Multivariate CUSUM Charts”. Journal of Quality Technology 22, pp. 173–186.
  • Runger, G. C. and Alt, F. B. (1996). “Choosing Principal Components for Multivariate Statistical Process Control”. Communications in Statistics–Theory and Methods 25 (5), pp. 909–922.
  • Shan, X. M. and Apley, D. W. (2008). “Blind Identification of Manufacturing Variation Patterns by Combining Source Separation Criteria”. Technometrics 50 (3), pp. 332–343.
  • Sonesson, C. and Bock, D. (2003). “A Review and Discussion of Prospective Statistical Surveillance in Public Health”. Journal of the Royal Statistical Society, Series A: Statistics in Society 166, pp. 5–21.
  • Spanos, C. J. (1992). “Statistical Process Control in Semiconductor Manufacturing”. Proceedings of the IEEE 80 (6), pp. 819–830.
  • Stoumbos, Z. G. and Sullivan, J. H. (2002). “Robustness to Non-Normality of the Multivariate EWMA Control Chart”. Journal of Quality Technology 34 (3), pp. 260–276.
  • Wang, K. and Jiang, W. (2009). “High-Dimensional Process Monitoring and Fault Isolation via Variable Selection”. Journal of Quality Technology 41 (3), pp. 247–258.
  • Wang, K. and Tsung, F. (2008). “An Adaptive T2 Chart for Monitoring Dynamic Systems”. Journal of Quality Technology 40, pp. 109–123.
  • Zhu, Y. Z. and Jiang, W. (2009). “An Adaptive T2 Chart for Multivariate Process Monitoring and Diagnosis”. IIE Transactions 41 (11), pp. 1007–1018.
  • Zou, C.; Jiang, W.; and Tsung, F. (2011). “A LASSO-Based Diagnostic Framework for Multivariate Statistical Process Control”. Technometrics 53 (3), pp. 297–309.
  • Zou, C. and Tsung, F. (2008). “Directional MEWMA Schemes for Multistage Process Monitoring and Diagnosis”. Journal of Quality Technology 40 (4), pp. 407–427.
  • Zou, C. L. and Qiu, P. H. (2009). “Multivariate Statistical Process Control Using LASSO”. Journal of the American Statistical Association 104 (488), pp. 1586–1596.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.