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Original Articles

An augmented neural network classification approach to detecting mean shifts in correlated manufacturing process parameters

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Pages 741-758 | Published online: 21 Feb 2007

References

References

  • Alwan LC Roberts HV 1989 Time series modeling for statistical process control In J. B. Keats and N. F. Hubele (eds) Automated Manufacturing New York Marcel Dekker
  • Anagun , AS . 1998 . A neural network applied to pattern recognition in statistical process control . Computers and Industrial Engineering , 35 ( 1–2 ) : 185 – 188 .
  • Chiu , CC , Chen , M and Lee , K . 2001 . Shifts recognition in correlated process data using a neural network . International Journal of Systems Science , 32 ( 2 ) : 137 – 143 .
  • Cook , DF and Chiu , CC . 1998 . Using radial basis function neural networks to recognize shifts in correlated manufacturing process parameters . IIE Transactions , 30 ( 3 ) : 227 – 234 .
  • Croasdale , R . 1974 . Control charts for a double-sampling scheme based on average production run lengths . International Journal of Production Research, , 12 ( 5 ) : 585 – 592 .
  • Daudin , JJ . 1992 . Double sampling X-bar charts . Journal of Quality Technology , 24 ( 2 ) : 78 – 87 .
  • Dedeakayogullari , I and Burnak , N . 1999 . The determination of mean and/or variance shifts with artificial neural networks . International Journal of Production Research , 37 ( 10 ) : 2191 – 2200 .
  • Deming WE 1986 Out of the Crisis Cambridge MA Massachusetts Institute of Technology Center for Advanced Engineering Study
  • Harris , TJ and Ross , WH . 1991 . Statistical process control procedures for correlated observations . The Canadian Journal of Chemical Engineering , 69 : 48 – 57 .
  • Ho , ES and Chang , SI . 1999 . Integrated neural network approach for simultaneous monitoring of process mean and variance shifts – a comparative study . International Journal of Production Research , 37 ( 8 ) : 1881 – 1901 .
  • Hwarng HB Hubele NF 1991 X-bar chart pattern recognition using neural nets ASQC Quality Congress Transactions Milwaukee pp. 884–889
  • Hwarng , HB and Hubele , NF . 1993 . X control chart pattern identification through efficient off-line neural network training . IIE Transactions , 25 ( 3 ) : 27 – 39 .
  • Juran JM Godfrey AB 1999 Juran's Quality Handbook New York Irwin McGraw-Hill
  • Leger , RP , Garland , WJ and Poehlman , WFS . 1998 . Fault detection and diagnosis using statistical control charts and artificial neural networks . Artificial Intelligence in Engineering , 12 : 35 – 47 .
  • Neural Works Predict 1997 Technical Publications, NeuralWare Inc. 202 Park West Drive Pittsburgh PA
  • Perry , MB , Spoerre , JK and Velasco , T . 2001 . Control chart pattern recognition using back propagation artificial neural networks . International Journal of Production Research , 39 ( 15 ) : 3399 – 3418 .
  • Pugh , GA . 1991 . A comparison of neural networks to SPC charts . Computers and Industrial Engineering , 21 ( 1–4 ) : 253 – 255 .
  • Reynolds , MR , Arnold , JC and Baik , JW . 1996 . Variable sampling interval charts in the presence of correlation . Journal of Quality Technology , 28 : 12 – 30 .
  • Ruis , A , Ruisanchez , I , Callao , MP and Ruis , FX . 1998 . Reliability of analytical systems: use of control charts, time series models and recurrent neural networks (RNN) . Chemometrics and Intelligent Laboratory Systems , 40 : 1 – 18 .
  • Thissen , U , Melssen , WJ and Buydens , LMC . 2001 . Nonlinear process monitoring using bottle-neck neural networks . Analytica Chimica Acta , 446 : 371 – 383 .
  • VanBrackle , LN and Reynolds , MR . 1997 . EWMA and CUSUM control charts in the presence of correlation . Communications in Statistics – Simulation and Computation , 26 : 979 – 1008 .
  • Wani , MA and Pham , DT . 1999 . Efficient control chart pattern recognition through synergistic and distributed artificial neural networks . Proceedings of the Institute of Mechanical Engineers , 213 : part B, 157–169
  • Wardell , DG , Moskowitz , H and Plante , RD . 1992 . Control charts in the presence of data correlation . Management Science , 38 ( 8 ) : 1084 – 1105 .
  • Wardell , DG , Moskowitz , H and Plante , RD . 1994 . Run length distributions of special-cause control charts for correlated processes . Technometrics , 36 : 3 – 17 .
  • West , DA , Mangiameli , PM and Chen , SK . 1999 . Control of complex manufacturing processes: a comparison of SPC methods with a radial basis function neural network . Omega, International Journal of Management Science , 27 : 349 – 362 .
  • Zobel CW 1993 An adaptive Tchebychev algorithm for solving large, nonsymmetric systems of linear equations Unpublished Masters thesis Department of Mathematics, University of North Carolina-Chapel Hill
  • Zorriassatine , F and Tannock , JDT . 1998 . Review of neural networks for statistical process control . Journal of Intelligent Manufacturing , 9 ( 3 ) : 209 – 224 .

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