Exploring Best Practices in the Design of Experiments - JMP

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JMP Demo Recall our conclusion: There are three active interaction effects, but cannot identify them! Using the same number of runs (18) the definitive screening design will not only identify the same main effects, but it will: • Investigate all curvatures (concluding there are none) • Investigate all interactions and definitively identify the three active interactions 4/29/2013
So, what are the current best practices? Current best practices are: • Problem-driven • Three-level, where possible • Multi-objective • Supersaturated 4/29/2013
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Exploring Best Practices in the Des
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Overview • Where have we been?
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Where have we been? • 10 th Centu
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Where have we been? • James Lind,
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Where have we been? • Gergonne: 1
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1920’s-1950’s: Orthogonality is
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1950s: Baby steps away from orthogo
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Shift to problem-driven design (70s
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Paradigms for DOE Classical: • Fi
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Classical design paradigms pros, co
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What DOE Expertise (continued)? •
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New Paradigm: Problem-driven design
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Problem-driven paradigm pros, cons:
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Example 1: Extracting food solids f
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Knowledge Requirements: • Main ef
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Here’s how it’s done: 4/29/2013
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Example 2: Maximize recall of TV co
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Contrast: Problem-Driven Design App
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Example 3: Supersaturated Designs P
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You can’t do that! 1. Design matr
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FF designs are supersaturated desig
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Problem-Driven Design Approach Know
Page 45 and 46: All experimental Not all main facto
Page 47 and 48: Color-coded correlation matrix has
Page 49 and 50: Example 4: Sheet Aluminum Rolling M
Page 51 and 52: But there is a problem: We have con
Page 53 and 54: DOE to the rescue! • Result: When
Page 55 and 56: Confession of a Text Book Author
Page 57 and 58: Recent Paper---My Conversion 4/29/2
Page 59 and 60: Example 5: Corrosion resistance of
Page 61 and 62: Actual Corrosion Resistance DOE Who
Page 63 and 64: Contrast with ordinary DOE In usual
Page 65 and 66: Analysis depends on the randomizati
Page 67 and 68: Take-Aways 1. Always consider runni
Page 69 and 70: What’s driving the software? Opti
Page 71 and 72: Lots of work in Model Robust and Mu
Page 73 and 74: Multi-objective designs: six-factor
Page 75 and 76: Alias Matrix of Plackett-Burman des
Page 77 and 78: Turns out there is: Six foldover pa
Page 79 and 80: Definitive Screening Design for 6 f
Page 81 and 82: Now generalize this structure for m
Page 83 and 84: Conference Matrices & Telephony Fro
Page 85 and 86: Here the amazing result: Form the a
Page 87 and 88: Impact? A break-through solution fo
Page 89 and 90: Impact? From the conclusions: “De
Page 91 and 92: Upshot - Definitive Screening Desig
Page 93 and 94: BUT!…a limitation DSDs can only b
Page 95: Example 6: Extracting food solids f
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Exploring Best Practices in the Design of Experiments - JMP

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