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Design & Analysis of Experiments 8E 2012 Montgomery
Chapter 9 Design & Analysis of Experiments 8E 2012 Montgomery
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Design & Analysis of Experiments 8E 2012 Montgomery
The 3k Factorial Design Chapter 9 Design & Analysis of Experiments 8E 2012 Montgomery
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Design & Analysis of Experiments 8E 2012 Montgomery
Notation Factor levels are sometime denoted 1, 2, 3 Qualitative or categorical factors are low, medium, high Individual runs are defined by k digits combinations, such as 000 to denote the test combination in a three-variable design where all three factors are at the low level -1, 0, +1 is the orthogonal coding for quantitative factors Chapter 9 Design & Analysis of Experiments 8E 2012 Montgomery
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Note that by convention, Chapter 9 Design & Analysis of Experiments 8E 2012 Montgomery
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Design & Analysis of Experiments 8E 2012 Montgomery
9.2 Confounding Chapter 9 Design & Analysis of Experiments 8E 2012 Montgomery
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Design & Analysis of Experiments 8E 2012 Montgomery
An example of this method: Chapter 9 Design & Analysis of Experiments 8E 2012 Montgomery
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Design & Analysis of Experiments 8E 2012 Montgomery
An Example Chapter 9 Design & Analysis of Experiments 8E 2012 Montgomery
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Factors at Two and Four Levels
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Nonregular Fractional Factorial Designs
Section 9.5, page 415 In regular designs, all of the elements of the alias matrix are either 0, +1 or -1. In nonregular designs, there will be nonzero elements of the alias matrix that are not either +1 or -1. This means that terms that are aliased are not “completely confounded” The Plackett-Burman designs of the previous chapter are nonregular designs Nonregular fractional factorials have some good applications in factor screening experiments Chapter 9 Design & Analysis of Experiments 8E 2012 Montgomery
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Design & Analysis of Experiments 8E 2012 Montgomery
Jones and Montgomery (2011) present 16-run two-level nonregular designs for 6 – 8 factors in 16 runs – they call these “no-confounding” designs These are reasonable alternatives to the regular resolution IV designs Chapter 9 Design & Analysis of Experiments 8E 2012 Montgomery
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Design & Analysis of Experiments 8E 2012 Montgomery
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Design & Analysis of Experiments 8E 2012 Montgomery
The recommended designs do not have any complete confounding involving main effects and two-factor interactions or of two-factor interactions with each other Chapter 9 Design & Analysis of Experiments 8E 2012 Montgomery
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Nonregular Designs in 9-14 Factors in 16 Runs
Section text These are alternatives to the regular resolution III fractions Chapter 9 Design & Analysis of Experiments 8E 2012 Montgomery
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Other designs are shown in the text
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Use of an Optimal Design Tool
An optimal design tool can be used to create a custom design for a specific situation This requires: Chapter 9 Design & Analysis of Experiments 8E 2012 Montgomery
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Examples of Optimal Designs
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Alias Structure for the Design in Table 9.37
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