A neural network applied to estimate process capability of non-normal processes

Expert Systems with Applications

Volumn 36, Issue 2 PART 2, 2009, Pages 3093-3100

  Abbasi, Babak ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural network; Non normal process; Process capability index; Statistical process control

Indexed keywords

HIGHER ORDER STATISTICS; NEURAL NETWORKS; NORMAL DISTRIBUTION; PROBABILITY DENSITY FUNCTION;

NEURAL NETWORK ESTIMATES; NON-NORMAL DISTRIBUTION; NON-NORMAL PROCESS; PROBABILITY DENSITY FUNCTION (PDF); PROCESS CAPABILITY INDICES; QUALITY CHARACTERISTIC; RIGHT-SKEWED DISTRIBUTIONS; UPPER SPECIFICATION LIMITS;

STATISTICAL PROCESS CONTROL;

EID: 56349147739     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2008.01.042     Document Type: Article

References (30)

1. Bishop C. Neural networks for pattern recognition (1995), Oxford University Press, UK
2. Box G., and Cox D.R. An analysis of transformation. Journal Royal Statistics Society B 26 (1964) 211-243
3. Castagliola P. Evaluation of non-normal process capability indices using Burr's distributions. Quality Engineering 8 4 (1996) 587-593
4. Chang S.I., and Ho E.S. A two-stage network approach for process variance change detection and classification. International Journal of Production Research 37 (1999) 1581-1599
5. Chen H.F., and Kotz S. An asymptotic distribution of Wright's process capability index sensitive to skewness. Journal of Statistical Computation and Simulation 55 (1996) 147-158
6. Clements J.A. Process capability calculations for non-normal distributions. Quality Progress 22 (1989) 95-100
7. Fausett L. Fundamentals of neural networks (1994), Prentice Hall, New York
8. Guo Y., and Dooley K.J. Identification of change structure in statistical process control. International Journal of Production Research 30 (1992) 1655-1669
9. Gruska G.F., Mirkhani K., and Lamberson L.R. Non-normal data analysis (1989), Applied Computer Solutions, Inc, St. Clair Shores, Michigan
10. Haykin S. Neural networks: A comprehensive foundation (1994), Macmillan Publishing, New York
11. Hwarng H.B., and Hubele N.F. X-bar control chart pattern identification through efficient off-line neural network training. IIE Transactions 25 (1993) 27-40
12. Johnson N.L. System of frequency curves generated by methods of translation. Biometrika 36 (1949) 149-176
13. Kane V.E. Process capability indices. Journal of Quality Technology 18 1 (1986) 41-52
14. Liu P.H., and Chen F.L. Process capability analysis of non-normal process data using the Burr XII distribution. International Journal of Advanced Manufacturing Technology 27 (2006) 975-984
15. Martin E.B., and Morris A.J. Multivariate statistics and neural networks in process fault detection. IEE-Colloquium-(Digest) 79 (1995) 1-8
16. Niaki S.T.A., and Abbasi B. Fault diagnosis in multivariate control charts using artificial neural networks. Quality & Reliability Engineering International 21 (2005) 825-840
17. Niaki S.T.A., and Abbasi B. Skewness reduction approach in multi-attribute process monitoring. Communications in Statistics - Theory and Methods 36 12 (2007) 2313-2325
18. Patterson D. Artificial neural networks (1996), Prentice Hall, Singapore
19. Pearn W.L., Chen K.S., and Lin G.H. A generalization of Clements' method for non-normal Pearsonian processes with asymmetric tolerances. International Journal of Quality & Reliability Management 16 5 (1999) 507-521
20. Pearn W.L., and Kotz S. Application of Clements' method for calculating second and third generation process capability indices for non-normal Pearsonian populations. Quality Engineering 7 1 (1994) 139-145
21. Pugh G.A. Synthetic neural networks for process control. Computers and Industrial Engineering 17 (1989) 24-26
22. Pugh G.A. A comparison of neural networks to SPC charts. International Journal of Production Research 21 (1991) 253-255
23. Rivera L.A.R., Hubele N.F., and Lawrence F.P. Cpu index estimation using data transformation. Computers and Industrial Engineering 29 (1996) 55-58
24. Rumelhart D.E., McClelland J.L., and PDP Research Group. Parallel distributed processing: Explorations in the microstructure of cognition (1986), MIT Press, MA, Cambridge
25. Somerville S., and Montgomery D. Process capability indices and non-normal distributions. Quality Engineering 19 2 (1996) 305-316
26. Wang F.K., Kents J.B., and Zimmer W.J. The maximum likelihood estimation of the Burr XII parameters with censored and uncensored data. Microelectronics and Reliability 36 (1996) 359-362
27. Wilson D.J.H., Irwin G.W., and Lightbody G. Neural networks and multivariate. IEE-Colloquium-(Digest) 174 (1997) 1-5
28. Wu, H. H, Wang, J. S., & Liu, T. L. (1998). Discussions of the Clements-based process capability indices. In Proceedings of the CIIE national conference (pp. 561-566).
29. Wright P.A. A process capability index sensitive to skewness. Journal of Statistical Computation and Simulation 52 (1995) 195-203
30. Zimmer W.J., Keats J.B., and Wang F.K. The Burr XII distribution in reliability analysis. Journal of Quality Technology 30 4 (1998) 2-9