Abstract
An overview of industrial screening experiments is presented, focusing on their applications in process and product design and development. Concepts and terminology that are used in later chapters are introduced and explained. Topics covered include a discussion of the general framework of industrial experimentation, the role in those activities played by screening experiments, and the use of two-level factorial and fractional factorial designs for screening. Aliasing in fractional factorial designs, regular and nonregular designs, design resolution, design projection, and the role of confirmation and follow-up experiments are discussed. A case study is presented on factor screening in a plasma etching process from semiconductor manufacturing, including a discussion of the regular fractional factorial design used and the analysis of the data from the experiment.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Abraham, B., Chipman, H., and Vijayan, K. (1999). Some risks in the construction and analysis of supersaturated designs. Technometrics, 41, 135–141.
Andrews, H. P. (1964). The role of statistics in setting food specifications. Proceedings of the Sixteenth Annual Conference of the Research Council of the American Meat Institute, 43–56. Reprinted in Experiments in Industry: Design, Analysis, and Interpretation of Results. Editors: R. D. Snee, L. B. Hare and J. R. Trout. American Society for Quality Control, Milwaukee, 1985.
Barton, R. R. (1997). Pre-experiment planning for designed experiments: Graphical methods. Journal of Quality Technology, 29, 307–316.
Barton, R. R. (1998). Design-plots for factorial and fractional factorial designs. Journal of Quality Technology, 30, 40–54.
Barton, R. R. (1999). Graphical Methods for the Design of Experiments, Springer Lecture Notes in Statistics 143. Springer-Verlag, New York.
Bisgaard, S. (1998–1999). Conditional inference chart for small unreplicated two-level factorial experiments. Quality Engineering, 11, 267–271.
Bishop, T., Petersen, B., and Trayser, D. (1982). Another look at the statistician’s role in experimental planning and design. The American Statistician, 36, 387–389.
Booth, K. H. and Cox, D. R. (1962). Some systematic supersaturated designs. Technometrics, 4, 489–495.
Box, G. E. P. and Meyer, R. D. (1986). An analysis for unreplicated fractional factorials. Technometrics, 28, 11–18.
Box, G. E. P. and Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society B, 13, 1–45.
Box, G. E. P., Hunter, W. G., and Hunter, S. J. (1978). Statistics for Experimenters, John Wiley and Sons, New York.
Coleman, D. E. and Montgomery, D. C. (1993). A systematic approach to planning for a designed industrial experiment (with discussion). Technometrics, 35, 1–27.
Design-Expert Software. Version 6 User’s Guide (2000). Stat-Ease Inc., Minneapolis.
Hahn, G. J. (1977). Some things engineers should know about experimental design. Journal of Quality Technology, 9, 13–20.
Hahn, G. J. (1984). Experimental design in a complex world. Technometrics, 26, 19–31.
Hamada, M. and Balakrishnan, N. (1998). Analyzing unreplicated factorial experiments: A review with some new proposals (with discussion). Statistica Sinica, 8, 1–41.
Hamada, M. and Wu, C. F. J. (1992). Analysis of designed experiments with complex aliasing. Journal of Quality Technology, 24, 130–137.
Holcomb, D. R., Montgomery, D. C., and Carlyle, W. M. (2003). Analysis of supersaturated designs. Journal of Quality Technology, 35, 13–27.
Khuri, A. I. and Cornell, J. A. (1996). Response Surfaces: Designs and Analyses, second edition. Marcel Dekker, New York.
Lenth, R. V. (1989). Quick and easy analysis of unreplicated factorials. Technometrics, 31, 469–473.
Li, H. and Mee, R. W. (2002). Better foldover fractions for resolution III 2k–p designs. Technometrics, 44, 278–283.
Li, W. and Lin, D. K. J. (2003). Optimal foldover plans for two-level fractional factorial designs. Technometrics, 45, 142–149.
Lin, D. K. J. (2000). Recent developments in supersaturated designs, Chapter 18. In Statistical Process Monitoring and Optimization. Editors: S. H. Park and G. G. Vining, pages 305–319. Marcel Dekker, New York.
Mee, R.W. and Peralta, M. (2000). Semifolding 2k–p designs. Technometrics, 42, 122–134.
Montgomery, D. C. (2005). Design and Analysis of Experiments, sixth edition. John Wiley and Sons, New York.
Montgomery, D. C. and Runger, G. C. (1996). Foldovers of 2k–p resolution IV designs. Journal of Quality Technology, 28, 446–450.
Myers, R. H. and Montgomery, D. C. (2002). Response Surface Methodology: Process and Product Optimization using Designed Experiments, second edition. John Wiley and Sons, New York.
Nelson, B. J., Montgomery, D. C., Elias, R. J., and Maass, E. (2000). Acomparison of several design augmentation strategies. Quality and Reliability Engineering International, 16, 435–449.
Plackett, R. L. and Burman, J. P. (1946). The design of optimum multifactorial experiments. Biometrika, 33, 305–325.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer Science+Business Media, Inc.
About this chapter
Cite this chapter
Montgomery, D.C., Jennings, C.L. (2006). An Overview of Industrial Screening Experiments. In: Dean, A., Lewis, S. (eds) Screening. Springer, New York, NY. https://doi.org/10.1007/0-387-28014-6_1
Download citation
DOI: https://doi.org/10.1007/0-387-28014-6_1
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-28013-4
Online ISBN: 978-0-387-28014-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)