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Robust Design |
This example validates the robust design inner array with a two level factorial design and out array with a general full factorial design.
Reference Case
Data is from the example on page 1252 in the book Applied linear Statistical Models by Michael H.K, Christopher J.N, John N. William. Li, Fifth Edition, McGraw-Hill, 2005.
Data
| Run | A | B | C | Noise Factor | |||
|---|---|---|---|---|---|---|---|
| 60°F | 70°F | 80°F | 90°F | ||||
| 1 | 1 | 1 | 1 | 48 | 49 | 56 | 63 |
| 2 | 1 | -1 | -1 | 50 | 52 | 55 | 63 |
| 3 | -1 | 1 | 1 | 70 | 72 | 77 | 84 |
| 4 | -1 | -1 | -1 | 42 | 65 | 70 | 73 |
| 5 | -1 | 1 | -1 | 61 | 70 | 78 | 79 |
| 6 | -1 | -1 | 1 | 65 | 74 | 74 | 77 |
| 7 | 1 | -1 | 1 | 40 | 59 | 63 | 66 |
| 8 | 1 | 1 | -1 | 48 | 51 | 55 | 60 |
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Result From the book the results are:
| Predictor | Coef |
|---|---|
| Constant | 62.781 |
| A | -7.906 |
| B | 1.031 |
| C | 2.031 |
| AB | -2.156 |
| AC | -1.406 |
| BC | -0.969 |
| ABC | 0.594 |
Results in DOE++
Your text here.