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Understanding Industrial Designed Experiments
This text is the first to successfully blend Taguchi and
Classical techniques of Experimental Design into a new and powerful
approach that is proven to yield high return on investment in
the industrial arena.
It incorporates traditional topics along with creative ways to
implement and communicate statistics without mathematical complexity.
Topics include: Full and Fractional Factorials, Plackett-Burman,
Taguchi, Box-Behnken, CCD, and Robust Designs; Rules of Thumb
for Design Selection, Sample Size, Analysis, and Tests for Confirmation.
There are 279 pages of case studies from a variety of industries.
The first two chapters (125 pages) are an excellent overview with
emphasis on proper planning, variance reduction, modeling, and
statistical simplicity. Subsequent chapters provide more depth
on design types such as objectives and advantages/disadvantages.
Analysis strategies include simple graphs, normal probability
plots, ANOVA, regression, and response surface methods aimed at
optimizing the average response and minimizing variation.
Contents Include:
- Foundations and Motivation
- Conducting Simple Experimental Designs and Analysis
- Design Types
- Statistical Techniques (ANOVA and Regression)
- Design Evaluation (graphically and statistically)
- Variance Reduction and Robustness
- Taguchi Philosophy, Design, and Analysis
- Optimization and Response Surface Methods
- Case Studies
- Rules of Thumb
What's Included:
- Software: DOE KISS (Student Ver.), FactSim, and AirSim
Authors: Stephen R. Schmidt and Robert G. Launsby
Format: Hardcover (740 pages) (1997) 4th Edition
Item #: 1-880156-03-2
Price: $80.00
Also Available:
AA1007 UIDE Solutions Manual: $ 35.00
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