Advanced search
Publication Cover
Journal of the Chinese Institute of Industrial Engineers Volume 19, 2002 - Issue 6
Journal homepage
52
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

EFFECTS OF NON-NORMALITY ON ARTIFICIAL NEURAL NETWORK BASED CONTROL CHART PATTERN RECOGNIZER

Ruey-Shiang Guh Department of Industrial Management, National Huwei Institute of Technology, 64, Wen-hua Road, Huwei Jen, Yunlin, Taiwan, 632, R.O.C.
Pages 13-22 | Received 01 Jun 2001, Accepted 01 Apr 2002, Published online: 15 Feb 2010

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

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:

Order Reprints Request Corporate Permissions

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:

Request Academic Permissions

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.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.