Page 367 - Six Sigma Advanced Tools for Black Belts and Master Black Belts
P. 367

OTE/SPH
 OTE/SPH
          August 31, 2006
                         3:7
                              Char Count= 0
 JWBK119-22
        352       Simultaneous Monitoring of the Mean, Variance and Autocorrelation
                                      REFERENCES
         1. Montgomery, D.C, and Friedman, D.J, (1989) Statistical process control in computer-
           integrated manufacturing environment. In J.B. keats and N.F. Hubele (eds). Statistical Process
           Control in Automated Manufacturing. New york: Marcel Dekker.
         2. Harris, T.J. and Ross, W.H. (1991) Statistical process control procedures for correlated ob-
           servations. Canadian Journal of Chemical Engineering, 69, 48--57.
         3. Alwan, L.C. (1992) Effects of autocorrelation on control chart performance. Communications
           in Statistics: Theory and Methods, 21, 1025--1049.
         4. Dooley, K.J. and Kapoor, S.G. (1990) An enhanced quality evaluation system for continuous
           manufacturing processes, Part 1: Theory. Transactions of the ASME, Journal of Engineering for
           Industry, 112, 57--62.
         5. 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.
         6. Yourstone, S.A. and Montgomery, D.C. (1991) Detection of process upsets -- sample auto-
           correlation control chart and group autocorrelation control chart applications. Quality and
           Reliability Engineering International, 7, 133--140.
         7. Lu, C.W. and Reynolds, M.R. (1999) Control charts for monitoring the mean and variance
           of autocorrelated processes. Journal of Quality Technology, 31, 259--274.
         8. Atienza, O.O., Tang, L.C. and Ang, B.W. (1997) ARL properties of a sample autocorrelation
           chart. Computers and Industrial Engineering, 33, 733--736.
         9. Atienza, O.O., Tang, L.C. and Ang, B.W. (2002) Simultaneous monitoring of sample and
           group autocorrelations. Quality Engineering, 14, 489--499.
        10. Montgomery D.C. (1996) Introduction to Statistical Quality Control, 3rd edn. New York: John
           Wiley & Sons, Inc.
        11. Wardell, D.G., Moskowitz, H. and Plante, R.D. (1994) Run-length distributions of special-
           cause control charts for correlated processes (with discussion). Technometrics, 36, 3--27.
        12. Runger, G.C., Willemain, T.R. and Prabhu, S. (1995) Average run lengths for CUSUM control
           charts applied to residuals. Communications in Statistics: Theory and Methods, 24, 273--282.
        13. Brockwell, P.J. and Davis, R.A. (1987) Time Series Analysis: Theory and Methods. New York:
           Springer-Verlag.
        14. Box, G.E.P., Jenkins, G.M. and Reinsel, G.C. (1994) Time Series Analysis, Forecasting and
           Control. Englewood Cliffs, NJ: Prentice Hall.
        15. Alt, F.B. (1985) Multivariate quality control. in S. Kotz and N.L. Johnson (eds), Encyclopedia
           of Statistical Sciences, Vol. 6. New York: John Wiley & Sons, Inc.
        16. Healy, J.D. (1987) A note on multivariate CUSUM procedures. Technometrics, 29, 409--412.
        17. Crosier, R.B. (1988) Multivariate generalization of cumulative sum quality-control schemes.
           Technometrics, 30, 291--303.
        18. Lowry, C.A., Woodall, W.H., Champ, C.W. and Rigdon, S.E. (1992) Multivariate exponen-
           tially weighted moving average control chart. Technometrics, 34, 46--53.
        19. Prabhu, S.S. and Runger, G.C. (1997) Designing a multivariate EWMA control chart. Journal
           of Quality Technology, 29, 8--15.
        20. IMSL (1991) User’s Manual Statistical Library, Version 2. Houston, TX: IMSL.
        21. Wardell, D.G., Moskowitz, H. and Plante, R.D. (1994) Run-length distributions of residual
           control charts for autocorrelated processes. Journal of Quality Technology, 26, 308--317.
        22. Roes, K.C.B., Does, R.J.M.M. and Schurink, Y. (1993) Shewhart-type control charts for indi-
           vidual observations. Journal of Quality Technology, 25, 188--198.
   362   363   364   365   366   367   368   369   370   371   372