5.
Process Improvement


Chapter specific references 
Bisgaard, S. and
Steinberg, D. M., (1997), "The Design and Analysis of 2^{kp}
Prototype Experiments," Technometrics, 39, 1, 5262.
Box, G. E. P., and Draper, N. R., (1987), Empirical Model Building and Response Surfaces, John Wiley & Sons, New York, NY. Box, G. E. P., and Hunter, J. S., (1954), "A Confidence Region for the Solution of a Set of Simultaneous Equations with an Application to Experimental Design," Biometrika, 41, 190199 Box, G. E. P., and Wilson, K. B., (1951), "On the Experimental Attainment of Optimum Conditions," Journal of the Royal Statistical Society, Series B, 13, 145. Cornell, J. A., (1990), Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data, John Wiley & Sons, New York, NY. Del Castillo, E., (1996), "Multiresponse Optimization Confidence Regions," Journal of Quality Technology, 28, 1, 6170. Derringer, G., and Suich, R., (1980), "Simultaneous Optimization of Several Response Variables," Journal of Quality Technology, 12, 4, 214219. Draper, N.R., (1963), "Ridge Analysis of Response Surfaces," Technometrics, 5, 469479. Hoerl, A. E., (1959), "Optimum Solution of Many Variables Equations," Chemical Engineering Progress, 55, 6778. Hoerl, A. E., (1964), "Ridge Analysis," Chemical Engineering Symposium Series, 60, 6777. Khuri, A. I., and Cornell, J. A., (1987), Response Surfaces, Marcel Dekker, New York, NY. Mee, R. W., and Peralta, M. (2000), "Semifolding 2^{kp} Designs," Technometrics, 42, 2, p122. Miller, A. (1997), "StripPlot Configuration of Fractional Factorials," Technometrics, 39, 2, p153. Myers, R. H., and Montgomery, D. C., (1995), Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley & Sons, New York, NY. Ryan, Thomas P., (2000), Statistical Methods for Quality Improvement, John Wiley & Sons, New York, NY. Taguchi, G. and Konishi, S., (1987), Orthogonal Arrays and Linear Graphs, Dearborn, MI, ASI press. 

Well Known General References 
Box, G. E. P., Hunter, W. G., and
Hunter, S. J. (1978), Statistics for Experimenters, John Wiley
& Sons, Inc., New York, NY.
Diamond, W. J., (1989), Practical Experimental Designs, Second Ed., Van Nostrand Reinhold, NY. John, P. W. M., (1971), Statistical Design and Analysis of Experiments, SIAM Classics in Applied Mathematics, Philadelphia, PA. Milliken, G. A., and Johnson, D. E., (1984), Analysis of Messy Data, Vol. 1, Van Nostrand Reinhold, NY. Montgomery, D. C., (2000), Design and Analysis of Experiments, Fifth Edition, John Wiley & Sons, New York, NY. 

Case studies for different industries  Snee, R. D., Hare, L. B., and Trout, J. R.(1985), Experiments in Industry. Design, Analysis and Interpretation of Results, Milwaukee, WI, American Society for Quality.  
Case studies in Process Improvement, including DOE, in the Semiconductor Industry  Czitrom, V., and Spagon, P. D., (1997), Statistical Case Studies for Industrial process Improvement, Philadelphia, PA, ASASIAM Series on Statistics and Applied Probability.  
Software to design and analyze experiments  In addition to the extensive design and analysis documentation and routines in Dataplot, there are many other good commercial DOE packages. This Chapter showed examples using "JMP" (by the SAS Institute, 100 SAS CampusDrive, Cary, North Carolina 275139905), as an illustration of a good commercial package. 