References
- Agrawal, R.; Lawless, J. F.; and MacKay, R. J. (1999). “Analysis of Variation Transmission in Manufacturing Processes–Part II”. Journal of Quality Technology 31, pp. 143–154.
- Alwan, A. J. and Alwan, L. C. (1994). “Monitoring Autocorrelated Processes Using Mulitivariate Quality Control Charts”. Proceedings of Decision Science Institute Annual Meeting 3, pp. 2106–2108.
- Anderson, T. W. (1984). An Introduction of Multivariate Statistical Analysis, 2nd edition. Wiley, New York.
- Apley, D. W. and Tsung, F. (2002). “The Autoregressive T2 Chart for Monitoring Univariate Autocorrelated Process”. Journal of Quality Technology XX, pp. 80–96.
- Basseville, M. and Nikiforov, I. (1993). Detection of Abrupt Changes: Theory and Application. Prentice-Hall, Englewood Cliffs, NJ.
- Ding, Y.; Ceglarek, D.; and Shi, J. (2002a). “Fault Diagnosis of Multistage Manufacturing Processes by Using State Space Approach”. ASME Transactions, Journal of Manufacturing Science and Engineering 124, pp. 313–322.
- Ding, Y.; Jin, J.; Ceglarek, D.; and Shi, J. (2005). “Process-Oriented Tolerancing for Multi-Station Assembly Systems”. IIE Transactions 37, pp. 493–508.
- Ding, Y.; Shi, J.; and Ceglarek, D. (2002b). “Diagnosability Analysis of Multistage Manufacturing Processes”. ASME Transactions, Journal of Dynamic Systems, Measurement and Control 124, pp. 1–33.
- Djurdjanovic, D. and Ni, J. (2001). “Linear State Space Modeling of Dimensional Machining Errors”. Transactions of NAMRI/SME XXIX, pp. 541–548.
- Durbin, J. and Koopman, S. J. (2001). Time Series Analysis by State Space Methods. Oxford University Press, Inc., New York, NY.
- Hauck, D. J.; Runger, G. C.; and Montgomery, D. C. (1999). “Multivariate Statistical Process Monitoring and Diagnosis with Grouped Regression-Adjusted Variables”. Communications in Statistics–Simulation and Computation 28, pp. 309–328.
- Hawkins, D. M. (1991). “Multivariate Quality Control Based on Regression-Adjusted Variables”. Technometrics 33, pp. 61–75.
- Hawkins, D. M. (1993). “Regression Adjustment for Variables in Multivariate Quality Control”. Journal of Quality Technology 25, pp. 170–182.
- Huang, Q. and Shi, J. (2004). “Variation Transmission Analysis and Diagnosis of Multi-Operational Machining Processes”. IIE Transaction on Quality and Reliability 36, pp. 807–815.
- Huang, Q.; Zhou, S.; and Shi, J. (2002). “Diagnosis of Multi-Operational Machining Processes Through Variation Propagation Analysis”. Robotics and CIM Journal 18, pp. 233–239.
- Jiang, W. (2004). “Multivariate Control Charts for Monitoring Autocorrelated Processes”. Journal of Quality Technology 36, pp. 367–379.
- Jin, J. and Shi, J. (1999). “State Space Modeling of Sheet Metal Assembly for Dimensional Control”. ASME Transactions, Journal of Manufacturing Science and Engineering 121, pp. 756–762.
- Lawless, J. F.; MacKay, R. J.; and Robinson, J. A. (1999). “Analysis of Variation Transmission in Manufacturing Processes. Part I”. Journal of Quality Technology 31, pp. 131–142.
- Lehmann, E. L. (1986). Testing Statistical Hypothesis, 2nd edition. Wiley, New York, NY.
- Lowry, C. A.; Woodall, W. H.; Champ, C. W.; and Rigdon, S. E. (1992). “Multivariate Exponentially Weighted Moving Average Control Chart”. Technometrics 34, pp. 46–53.
- Lucas, J. M. and Saccucci, M. S. (1990). “Exponentially Weighted Moving Average Control Scheme Properties and Enhancements”. Technometrics 32, pp. 1–29.
- Molnau, W. E.; Runger, G. C.; Montgomery, D. C.; Skinner, K. R.; Loredo, E. N.; and Prabhu, S. S. (2001). “A Program for ARL Calculation for Multivariate EWMA Charts”. Journal of Quality Technology 33, pp. 515–521.
- Montgomery, D. C. (2004). Introduction to Statistical Quality Control, 5th edition. John Wiley & Sons, New York, NY.
- Nishina, K. (1992). “A Comparison of Control Charts from the Viewpoint of Change-Point Estimation”. Quality and Reliability Engineering International 8, pp. 537–541.
- Pignatiello, J. J. Jr. and Samuel, T. R. (2001). “Estimation of the Change Point of a Normal Process Mean in SPC Applications”. Journal of Quality Technology 33, pp. 82–95.
- Prabhu, S. S. and Runger, G. C. (1997). “Designing a Multivariate EWMA Control Chart”. Journal of Quality Technology 29, pp. 8–15.
- Rao, S.; Strojwas, A. J.; Lehoczky, J. P.; and Schervish, M. J. (1996). “Monitoring Multistage Integrated Circuit Fabrication Processes”. IEEE Transactions on Semiconductor Manufacturing 9, pp. 495–505.
- Reynolds, M. R. and Stoumbos, Z. G. (2001). “Individuals Control Schemes for Monitoring the Mean and Variance of Processes Subject to Drifts”. Stochastic Analysis and Applications 19, pp. 863–892.
- Runger, G. C. and Prabhu, S. S. (1996). “A Markov Chain Model for the Multivariate Exponentially Weighted Moving Averages Control Chart”. Journal of the American Statistical Association 91, pp. 1701–1706.
- Shi, J. (2006). Stream of Variation Modeling and Analysis for Multistage Manufacturing. CRC Press. Boca Raton, FL.
- Shu, L. J.; Tsung, F.; and Kapur, K. C. (2004). “Design of Multiple Cause-Selecting Charts for Multistage Processes with Model Uncertainty”. Quality Engineering 16, pp. 437–450.
- Steiner, S. H. (1999). “EWMA Control Charts with Time-Varying Control Limits and Fast Initial Response”. Journal of Quality Technology 31, pp. 75–86.
- Timmer, D. H. and Pignatiello, J. J. (2003). “Change Point Estimates for the Parameters of an AR(1) Process”. Quality and Reliability Engineering International 19, pp. 355–369.
- Wade, M. R. and Woodall, W. H. (1993). “A Review and Analysis of Cause-Selecting Control Charts”. Journal of Quality Technology 25, pp. 161–169.
- Xiang, L. and Tsung, F. (2008). “Statistical Monitoring of Multistage Processes Based on Engineering Models”. IIE Transactions, forthcoming.
- Zantek, P. F.; Gordon, P. W.; and Robert, D. P. (2006). “A Self-Starting Procedure for Monitoring Process Quality in Multistage Manufacturing Systems”. IIE Transactions 38, pp. 293–308.
- Zhang, G. X. (1985). “Cause-Selecting Control Charts–A New Type of Quality Control Charts”. The QR Journal 12, pp. 221–225.
- Zhou, S.; Chen, Y.; and Shi, J. (2004). “Statistical Estimation and Testing for Variation Root-Cause Identification of Multistage Manufacturing Processes”. IEEE Transactions on Automation Science and Engineering 1, pp. 73–83.
- Zhou, S.; Ding, Y.; Chen, Y.; and Shi, J. (2003a). “Diagnosability Study of Multistage Manufacturing Processes Based on Linear Mixed-Effects Models”. Technometrics 45, pp. 312–325.
- Zhou, S.; Huang, Q.; and Shi, J. (2003b). “State Space Modeling of Dimensional Variation Propagation in Multistage Machining Process Using Differential Motion Vector”. IEEE Transactions on Robotics and Automation 19, pp. 296–309.