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5. Process Improvement


Choosing an experimental design

Contents of Section 3 This section describes in detail the process of choosing an experimental design to obtain the results you need. The basic designs an engineer needs to know about are described in detail.
Note that this section describes the basic designs used for most engineering and scientific applications
  1. Set objectives
  2. Select process variables and levels
  3. Select experimental design
    1. Completely randomized designs
    2. Randomized block designs
      1. Latin squares
      2. Graeco-Latin squares
      3. Hyper-Graeco-Latin squares
    3. Full factorial designs
      1. Two-level full factorial designs
      2. Full factorial example
      3. Blocking of full factorial designs
    4. Fractional factorial designs
      1. A 23-1 half-fraction design
      2. How to construct a 23-1  design
      3. Confounding
      4. Design resolution
      5. Use of fractional factorial designs
      6. Screening designs
      7. Fractional factorial designs summary tables
    5. Plackett-Burman designs
    6. Response surface (second-order) designs
      1. Central composite designs
      2. Box-Behnken designs
      3. Response surface design comparisons
      4. Blocking a response surface design
    7. Adding center points
    8. Improving fractional design resolution
      1. Mirror-image foldover designs
      2. Alternative foldover designs
    9. Three-level full factorial designs
    10. Three-level, mixed level and fractional factorial designs
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