Variability monitoring of multistage manufacturing processes using regression adjustment methods

IIE Transactions (Institute of Industrial Engineers)

Volumn 40, Issue 2, 2008, Pages 109-121

  Zeng, Li ^a   Zhou, Shiyu ^a  

^a Wisconsin Electric Machines and Power Electronics Consortium   (United States)

Author keywords

Measurement errors; Multistage processes; Regression adjustment; Regressor selection; Variation propagation

Indexed keywords

MEASUREMENT ERRORS; PROCESS MONITORING; REGRESSION ANALYSIS;

MULTISTAGE PROCESSES; REGRESSION ADJUSTMENT; VARIATION PROPAGATION;

PRODUCTION ENGINEERING;

EID: 37449009567     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/07408170701592564     Document Type: Article

References (29)

1. Agrawal, R., Lawless, J. F. and Mackay, R. J. (1999) Analysis of variation transmission in manufacturing processes-part II. Journal of Quality Technology, 31:2, pp. 143-154.
2. Apley, D. W. and Shi, J. (2001) A factor-analysis method for diagnosing variability in multivariate manufacturing processes. Technometrics, 43:1, pp. 84-95.
3. Ceglarek, D. and Shi, J. (1995) Dimensional variation reduction for automotive body assembly. Journal of Manufacturing Review, 8, pp. 139-154.
4. Ding, Y., Ceglarek, D. and Shi, J. (2000) Model and diagnosis of multistage manufacturing processes: Part I state space model. Proceedings of the 2000 Japan/USA Symposium on Flexible Automation Ann Arbor, MI
5. Djurdjanovic, D. and Ni, J. (2001) Linear state space model of dimensional machining errors. Transactions of NAMRI/SME, 29, pp. 541-548.
6. Drton, M. and Perlman, M. D. (2005) A sinful approach to Gaussian graphical model selection. Journal of Statistical Planning and Interference
7. Fong, D. Y. T. and Lawless, J. F. (1998) The analysis of process variation transmission with multivariate measurements. Statistica Sinica, 8, pp. 151-164.
8. Fuller, W. A. (1987) Measurement Error Models, Wiley, New York, NY
9. 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, 28:2, pp. 309-328.
10. Hawkins, D. M. (1991) Multivariate quality control based on regression-adjusted variables. Technometrics, 33:1, pp. 61-75.
11. Hawkins, D. M. (1993) Regression adjustment for variables in multivariate quality control. Journal of Quality Technology, 25:3, pp. 170-182.
12. Huang, Q., Zhou, N. and Shi, J. (2000) Stream of variation modeling and diagnosis of multi-station machining processes. Proceedings of the 2000 ASME International Mechanical Engineering Congress and Exposition, pp. 81-88.
13. Hyer, N. and Wemmerlov, U. (2002) Reorganizing the Factory: Competing Through Cellular Manufacturing, Productivity Press, Portland, OR
14. Jin, J. and Shi, J. (1999) State space model of sheet metal assembly for dimensional control. ASME Transactions, Journal of Manufacturing Science and Engineering, 121, pp. 756-762.
15. Koren, K., Heisel, U., Jovane, F., Moriwaki, T., Pritschow, G., Ulsoy, G. and Van Brussel, H. (1999) Reconfigurable manufacturing systems. Annals of the CIRP, 48, pp. 1-14.
16. Lawless, J. F., Mackay, R. J. and Robinson, J. A. (1999) Analysis of variation transmission in manufacturing processes-part I. Journal of Quality Technology, 31:2, pp. 131-142.
17. Mandel, B. J. (1969) The regression control chart. Journal of Quality Technology, 1:1, pp. 1-9.
18. Montgomery, D. C. (2001) Introduction to Statistical Quality Control,, Wiley, New York, NY
19. Rogers, G. G. and Bottaci, L. (1997) Modular production systems: A new manufacturing paradigm. Journal of Intelligent Manufacturing, 8, pp. 147-156.
20. Seber, G. A. F. and Lee, A. J. (2003) Linear Regression Analysis,, Wiley, Hoboken, NJ
21. Van Huffel, S. (2004) Total least squares and errors-in-variables modeling: Bridging the gap between statistics, in computational mathematics and engineering. Compstat Proceedings in Computational Statistics, pp. 539-555.
22. (2002) Total Least Squares and Errors-in-Variables Modeling: Analysis, Algorithms and Applications, Kluwer, Dordrecht, The Netherlands
23. Wade, M. R. and Woodall, W. H. (1993) A review and analysis of cause-selecting control charts. Journal of Quality Technology, 25:3, pp. 161-169.
24. Whittaker, J. (1990) Graphical Models in Applied Multivariate Statistics, Wiley, Chichester, UK
25. Zantek, P. F., Wright, G. P. and Plante, R. D. (2002) Process and product improvement in manufacturing systems with correlated stages. Management Science, 48:5, pp. 591-606.
26. Zantek, P. F., Wright, G. P. and Plante, R. D. (2006) A self-starting procedure for monitoring process quality in multistage manufacturing systems. IIE Transactions, 38:4, pp. 293-308.
27. Zeng, L. and Zhou, S. (2006) Inferring the interactions in complex manufacturing processes using graphical models. Technometrics
28. Zhang, G. (1985) Cause-selecting control charts: A new type of quality control chart. The QR Journal, 12, pp. 221-225.
29. Zhou, S., Huang, Q. and Shi, J. (2003) State space model of dimensional variation propagation in multistage machining process using differential motion vectors. IEEE Transactions on Robotics and Automation, 19:2, pp. 296-309.