Quality Loss Functions for Optimization across Multiple Response Surfaces

References

• Aubin, J.-P. (1984). Explicit Methods of Optimization. Gauthier-Villars (c)BORDAS, Paris.
   Google Scholar
• Box, G. E. P. (1988). “Signal-to-Noise Ratios, Performance Criteria and Transformations”. Technometrics 30, pp. 1–40.
   Web of Science ®Google Scholar
• Box, G. E. P. and Behnken, D. W. (1960). “Some New Three Level Designs for the Study of Quantitative Variables”. Technometrics 2, pp. 455–475.
   Google Scholar
• Box, G. E. P. and Draper, N. R. (1987). Empirical Model Building and Response Surfaces. John Wiley & Sons, Inc., New York, NY.
   Google Scholar
• Clausing, D. and Taguchi, G. (1990). “Robust Quality”. Harvard Business Review Jan-Feb, pp. 65–75.
   Google Scholar
• Cochran, W. and Cox, G. M. (1957). Experimental Designs, 2nd ed., John Wiley & Sons, New York, NY.
   Google Scholar
• Del Castillo, E. and Montgomery, D. C. (1993). “A Nonlinear Programming Solution to the Dual Response Problem”. Journal of Quality Technology 25, pp. 199–204.
   Web of Science ®Google Scholar
• Derringer, G. C. (1994). “A Balancing Act: Optimizing a Product's Properties”. Quality Progress 27(4), pp. 51–58.
   Google Scholar
• Derringer, G. C. and Suich, R. (1980). “Simultaneous Optimization of Several Response Variables”. Journal of Quality Technology 12, pp. 214–219.
   Web of Science ®Google Scholar
• Dixon, L. C. W.; Spedicato, E.; and Szego, G. B. (Editors) (1980). Nonlinear Optimization, Theory and Algorithms. Birkhauser, Boston, MA.
   Google Scholar
• Fiacco, A. V. and McCormick, G. P. (1990). Nonlinear Programming, Sequential Unconstrained Minimization Techniques. SIAM, Philadelphia, PA.
   Google Scholar
• Friedman, A. (1991). Mathematics in Industrial Problems, Part 4. Springer-Verlag, pp. 169–176.
   Google Scholar
• Hahn, G. J. (1984). “Experimental Design in a Complex World”. Technometrics 26, pp. 19–31.
   Web of Science ®Google Scholar
• Hauser, J. R. and Clausing, D. (1988). “The House of Quality”. Harvard Business Review, May-June, pp. 65–76.
   Google Scholar
• Khuri, A. I. and Cornell, J. A. (1996). Response Surfaces, 2nd ed., Marcel Dekker, Inc., New York, NY.
   Google Scholar
• Lambert, R. J. (1989). “A Technical Description of Polaroid Spectra Film”. Journal of Imaging Technology 15, pp. 108–113.
   Google Scholar
• Lucas, J. M. (1992). “Taguchi's Parameter Design”. Technometrics 34, p. 149.
   Web of Science ®Google Scholar
• Lucas, J. M. (1994). “How to Achieve a Robust Process Using Response Surface Methodology”. Journal of Quality Technology 26, pp. 248–260.
   Web of Science ®Google Scholar
• McCaskill, E. S. and Herchen, S. R. (1989). “Electrochemical Properties and Mechanisms of Action of Developers in Spectra Film”. Journal of Imaging Technology 15, pp. 103–107.
   Google Scholar
• Meneghini, F. (1989). “A New Instant Photography: A Chemists's View”. Journal of Imaging Technology 15, pp. 114–119.
   Google Scholar
• Montgomery, D. C. (1997). Design and Analysis of Experiment, 4th ed., John Wiley & Sons, Inc., New York, NY.
   Google Scholar
• Myers, R. H. and Carter, W. H., Jr. (1973) “Response Surface Techniques for Dual Response Systems”. Technometrics 15, pp. 301–317.
   Web of Science ®Google Scholar
• Myers, R. H.; Khuri, A. I.; and Carter, W. H. Jr. (1989). “Response Surface Methodology, 1966–1988”. Technometrics 31, pp. 137–157.
   Web of Science ®Google Scholar
• Myers, R. H. and Montgomery, D. C. (1995). Response Surface Methodology: Process and Product Optimization Using Designed Experiments. John Wiley & Sons, New York, NY.
   Google Scholar
• Phadke, M. S. (1982). “Quality Engineering Using Design of Experiments”. Proceedings of the Section on Statistical Education, American Statistical Association, Washington, D. C., pp. 11–22.
   Google Scholar
• Ross, P. J. (1988). Taguchi Techniques for Quality Engineering. McGraw-Hill Book Company, San Francisco, CA.
   Google Scholar
• Sturge, J. M.; Walworth, V.; and Shepp, A. (Editors) (1989). Imaging Processes and Materials, Neblette's 8th ed., Van Nostrand Reinhold, New York, NY.
   Google Scholar
• Taguchi, G. (1986). Introduction to Quality Engineering. UNIPUB/Kraus International Publications, White Plains, NY.
   Google Scholar
• Taguchi, G. and Wu, Y. (1979). “Off-line Quality Control”. Central Japan Quality Control Association (available from American Supplier Institute, Dearborn, MI).
   Google Scholar
• Tribus, M. and Szonyi, G. (1989). “An Alternative View of the Taguchi Approach”. Quality Progress 22(9), pp. 46–52.
   Google Scholar
• Vining, G. G. and Myers, R. H. (1990). “Combining Taguchi and Response Surface Philosophies: A Dual Response Approach”. Journal of Quality Technology 22, pp. 38–45.
   Web of Science ®Google Scholar