Exploring Best Practices in the Design of Experiments - JMP

More documents

Recommendations

Info

BUT!…a limitation DSDs can only be used with cont<strong>in</strong>uous (quantitative) factors 4/29/2013 92
BUT!…a limitation DSDs can only be used with cont<strong>in</strong>uous (quantitative) factors DANG!!!! 4/29/2013 93
Page 1 and 2:
Exploring Best Practices in the Des
Page 3 and 4:
Overview • Where have we been?
Page 5 and 6:
Where have we been? • 10 th Centu
Page 7 and 8:
Where have we been? • James Lind,
Page 9 and 10:
Where have we been? • Gergonne: 1
Page 11 and 12:
1920’s-1950’s: Orthogonality is
Page 13 and 14:
1950s: Baby steps away from orthogo
Page 15 and 16:
Shift to problem-driven design (70s
Page 17 and 18:
Paradigms for DOE Classical: • Fi
Page 19 and 20:
Classical design paradigms pros, co
Page 21 and 22:
What DOE Expertise (continued)? •
Page 23 and 24:
New Paradigm: Problem-driven design
Page 25 and 26:
Problem-driven paradigm pros, cons:
Page 27 and 28:
Example 1: Extracting food solids f
Page 29 and 30:
Knowledge Requirements: • Main ef
Page 31 and 32:
Here’s how it’s done: 4/29/2013
Page 33 and 34:
Example 2: Maximize recall of TV co
Page 35 and 36:
Contrast: Problem-Driven Design App
Page 37 and 38:
Example 3: Supersaturated Designs P
Page 39 and 40:
You can’t do that! 1. Design matr
Page 41 and 42: FF designs are supersaturated desig
Page 43 and 44: 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: Upshot - Definitive Screening Desig
Page 95 and 96: Example 6: Extracting food solids f
Page 97: So, what are the current best pract
show all

Exploring Best Practices in the Design of Experiments - JMP

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?