Effects of non-normality on artificial neural network based control chart pattern recognizer

Journal of the Chinese Institute of Industrial Engineers

Volumn 19, Issue 6, 2002, Pages 13-22

  Guh, Ruey Shiang ^a  

^a NATIONAL FORMOSA UNIVERSITY   (Taiwan)

Author keywords

Artificial neural network; Control chart pattern; Non normality

Indexed keywords

COMPUTER SIMULATION; MANUFACTURE; MATHEMATICAL MODELS;

CONTROL CHART PATTERN; KURTOSIS; NON-FORMALITY;

NEURAL NETWORKS;

EID: 24644501139     PISSN: 10170669     EISSN: None     Source Type: Journal    
DOI: 10.1080/10170660209509363     Document Type: Article

References (27)

1. Alwan, L. C. and H. V. Roberts, "The problem of misplaced control limits," Journal of Royal Statistical Society, 44(3), 269-278 (1995).
2. Borror, C. M., D. C. Montgomery and G. C. Runger, "Robustness of the EWMA control chart to non-normality," Journal of Quality Technology, 31(3), 309-316 (1999).
3. Chang, S. I. and C. A. Aw, "A neural fuzzy control chart for detecting and classifying process mean shifts," International Journal of Production Research, 34(8), 2265-2278 (1996).
4. Chang, S. I. and E. S. Ho, "A two-stage network approach for process variance change detection and classification," International Journal of Production Research, 37(7), 1581-1599 (1999).
5. Cheng, C. S., "A neural network approach for the analysis of control chart patterns," International Journal of Production Research, 35(3), 667-697 (1997).
6. Schilling, E. G. and P. R. Nelson, "The effect of non-normality on the control limits of X-bar charts," Journal of Quality Technology, 8(4), 183-188 (1976).
7. Guh, R. S. and J. D. T. Tannock, "Recognition of control chart concurrent patterns using a neural network approach," International Journal of Production Research, 37(8), 1743-1765 (1999).
8. Guh, R. S., J. D. T. Tannock and C. O'Brien, "IntelliSPC: a hybrid intelligent tool for on-line economical statistical process control," Expert Systems with Applications, 17(3), 195-212 (1999).
9. Guh, R. S. and C. O'Brien, "Economical statistical process control using quality cost simulation approach," International Journal of Industrial Engineering, 6(1), 48-60 (1999).
10. Guh, R. S., F. Zorriassatine, J. D. T. Tannock and C. O'Brien, "On-line control chart pattern detection and discrimination - A neural network approach," Artificial Intelligence in Engineering, 13(4), 413-425 (1999).
11. Hwarng, H. B. and N. F. Hubele, "X-bar control chart pattern identification through efficient off-line neural network training," IIE Transactions, 25(3), 27-40 (1993).
12. Hwarng, H. B. and N. F. Hubele, "Back-propagation pattern recognizers for X-bar control chart: Methodology and performance," Computers and Industrial Engineering, 24(2), 219-235 (1993).
13. Hwarng, H. B., "Pattern recognition on shewhart control charts using neural network approaches," Ph. D. Dissertation, Department of industrial and management systems engineering, Arizona State University (1992).
14. Hwamg, H. B., "Proper and effective training of a pattern recognizer for cyclic data," IIE Transactions, 27(6), 746-756(1995).
15. Kendall, M. and A. Stuart, The Advanced Theory of Statistics, Volume I, Charles Griffin and Co. Ltd, London (1976).
16. Law, A. M. and W. D. Kelton, Simulation Modelling and Analysis, McGraw-Hill, New York, NY (1982).
17. LucyBouler, T. L., "Problems in control chart pattern recognition systems," International Journal of Quality and Reliability Management, 10(8), 5-13 (1993).
18. Montgomery, D. C., Introduction to Statistical Quality Control, John Wiley and Sons, New York, NY (1996).
19. NeuralWare, NeuralWorks Professional Plus Reference Guide, NeuralWare Inc., Pittsburgh, PA (1995).
20. Pham, D. T. and E. Oztemel, "Control chart pattern recognition using neural networks," Journal of Systems Engineering, 2(4), 256-262 (1992).
21. Pham, D. T. and E. Oztemel, "Control chart pattern recognition using learning vector quantization networks," International Journal of Production Research, 32(3), 721-729 (1994).
22. Spedding, T. A. and P. C. Rawlings, "Non-normality in statistical process control measurements," International Journal of Quality and Reliability Management, 11(6), 27-37 (1994).
23. Western Electric, Statistical Quality Control Handbook, Western Electric Company, New York, NY (1958).
24. Yourstone, S. A. and W. J. Zimmer, "Non-normality and the design of control charts for averages," Decision Sciences, 23, 1099-1113 (1992).
25. Zorriassatine, F. and J. D. T. Tannock, "A review of neural networks for statistical process control," Journal of Intelligent Manufacturing, 9(3), 209-224 (1998).