|參考文獻||1.Alwan, L.C., and Roberts, H.V., 1989, Time series modeling for statistical process control, In Automater Manufacturing (J.B. Keats and N.F Hubele, editors). New York: Marcel Dekker, Inc,.
2.Box, G.E.P., 1993, ‘Quality improvement -- the new industrial revolution’, International Statistical Review, 61, 3-19.
3.Box, G.E.P., Coleman, D.E. and Baxley, R.V., 1997, ‘A comparison of statistical process control and engineering process control’, Journal of Quality Technology, 29, 128-130.
4.Box, G.E.P., Jenkins, G.M. and Reinsel, G.C., 1992 Time Series Analysis, Forecasting, and Control , 3rd eds, , Prentice-Hall, Englewood Cliffs, New Jerse.
5.Box G.E.P. and Kramer, T., 1992, ‘Statistical process monitoring and feedback adjustment-a discussion’, Technometrics, 34, 251-285.
6.Box G.E.P. and Luceño, A., 1997, Statistical Control by Monitoring and Feedback Adjustment, John Wiley & Sons, Inc., New York.
7.Box G.E.P. and Ramirez, J., 1992, ‘Cumulative score charts’, Quality and Reliability Engineering International, 10,17-27.
8.Cook D.F. and Chiu, C.C., 1998, ‘Using radial basis function neural networks to recognize shits in correlated manufacturing process parameters’, IIE Transactions, 30, 227-234.
9.Cheng B. and Titterington, D.M., 1994, ‘Neural networks: a review from a statistical perspective’, Statistical Science, 9,2-54.
10.Faltin, F.W., Hahn G.J. and Tucker, W.T., 1989, ‘Integrating SPC with automatic controls: concepts and experiences’, presented at the ASQC Fall Technical Conference, Houston, TX,.
11.Faltin, F.W., Hahn, G.J., Tucker W.T. and Vander Wiel S.A., 1993, ‘Algorithmic statistical process control: some practical observations’, International Statistical Review, 61, 67-80.
12.Funahashi, K., 1989, On the approximate realization of continuous mapping by neural network, Neural Network, 2, 183-192.
13.Harris, T.J., and Ross, W.H., 1991, Statistical process control procedures for correlated observations, The Canadian Journal of Chemical Engineering, 69, 48-57.
14.Hwarng H.B. and Hubele, N.F., 1991, ‘X control chart pattern identification through efficient off-line neural network training’, IIE Transaction, 25, 27-39.
15.Longnecker, M.T., and Ryan, T.P., 1993, Charting Correlated Process Data, Working paper, Department of Statistics, Texas A&M University, College Station, TX 77843.
16.Luceño, A., 1995, ‘Choosing the EWMA parameter in engineering process control’, Journal of Quality Technology, 27,162-168.
17.MacGregor, J.F., 1987, ‘Interface between process control and on-line statistical process control’, American Institute of Chemical Engineers CAST Newsletter, 9-19.
18.MacGregor, J.F., 1988, ‘On-line statistical process control’, Chemical Engineering Progress, 84, 21-31.
19.MacGregor, J.F., 1990, ‘A different view of the funnel experiment’, Journal of Quality Technology, 22, 255-259.
20.MacGregor, J.F., Harris T.J., and Wright, J.D., 1984, ‘Duality between the control of processes subject to randomly occurring deterministic disturbances and ARIMA stochastic disturbances’, Technometrics, 26, 389-397.
21.Montgomery, D.C., Keats, J.B., Runger G.C. and Messina, W.S., 1994, ‘Integrating statistical process control and engineering process control’, Journal of Quality Technology, 26, 79-87.
22.Neter, J., Kutner, M.H., Nachtsheim, C.J., and Wasserman, W.,1996, Applied Regression Models, 3rd Eds., Richard D. Irwin, Inc.
23.Pandit, S.M., and Wu, S., 1983, Time Series and System Analysis with Applications, John Wiley and Sons, New York.
24.Pugh, G.A., 1991, ‘A comparison of neural networks to SPC charts’, Computers and Industrial Engineering, 21, 253-255.
25.Qnet97, 1998, Vestra Services, Inc. IL, USA.
26.Ripley, B., 1994, ‘Neural networks and related methods for classification’, Journal of the Royal Statistical Society, B, 56,409-456.
27.Rumelhart, D.E. Hinton, G.E. and Williams, R.J., 1986, ‘Learning internal representations by error propagation in parallel distributed processing’, Vol.1, MIT Press, Cambridge, MA, 318-362.
28.Shao, Y.E., 1993, ‘A real time stochastic process control system for process manufacturing’ PhD Thesis, Rensselaer Polytechnic Institute, Troy, New York.
29.Shao, Y.E., 1998, ‘Integrated application of the cumulative score control chart and engineering process control’, Statistica Sinica, 8, 239-252.
30.Shao, Y.E. and Chiu, C.C., 1999, ‘Developing Identification Techniques with the integrated Use of SPC/EPC and Neural Networks’ Quality and Reliability Engineering International 15 287-294.
31.Shao, Y.E., Runger, G.C., Haddock, J. and Wallace, W.A. 1999, ‘Adaptive controllers to integrate SPC and EPC’, Communications in Statistic —Simulation and Computation 28 13-36.
32.Smith, A.E., 1994, ‘X-bar and r control chart interpretation using neural computing’, International Journal of Production Research, 32, 309-320.
33.Stern, H.S., 1996, ‘Neural networks in applied statistics’, Technometrics, 38, 205-220.
34.Stephanopoulos, G., 1984, Chemical Process Control: An ntroduction to Theory and Practice, Prentice Hall, Englewood Cliffs, New Jersey.
35.Vander Wiel, S.A. Tucker, W.T. Faltin F.W. and Doganaksoy, N.,1992, ‘Algorithmic statistical process control: concepts andan application’, Technometrics, 34, 286-297.
36.Wardell, D.G., Moskowitz, H. and Plante, R.D., 1992, ‘Control charts in the presence of data correlation, Management Science’, 38, (8), 1084-1105.
37.Wardell, D.G., Moskowitz, H., and Plante, R.D., 1994, ‘Run length distribution of Residual control charts for autocorrelated Process’, Journal of Quality Technology, 26, (4),308-317.
38.Wardrop D.M. and Garcia, C.E., 1992, ‘Discussion of ‘Statistical process monitoring and feedback adjustment-a discussion’, Technometrics, 34, 281-282.
39.Yourstone, S.A., and Montgomery, D.C., 1989, ‘A time-series approach to discrete real-time process quality control’, Quality and Reliability Engineering International, 5, 309-317.