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Central Composite Response Surface Method |
This example validates the calculation of the central composite response surface method in DOE++.
Reference Case
The data is from Example 11-1 on page 431 in the book Design and Analysis of Experiments by Douglas C. Montgomery, John Wiley & Sons, 2001.
Data
| Natural Variables | Coded Variables | Responses | |||
|---|---|---|---|---|---|
| A (time) | B (temperature) | A | B | Y (yield) | |
| 8076.580 | 170 | -1 | -1 | 76.5 | |
| 80 | 180 | -1 | 1 | 77 | |
| 90 | 170 | 1 | -1 | 78 | |
| 90 | 180 | 1 | 1 | 79.5 | |
| 85 | 175 | 0 | 0 | 79.9 | |
| 85 | 175 | 0 | 0 | 80.3 | |
| 85 | 175 | 0 | 0 | 80.0 | |
| 85 | 175 | 0 | 0 | 79.7 | |
| 85 | 175 | 0 | 0 | 79.8 | |
| 92.07 | 175 | 1.414 | 0 | 78.4 | |
| 77.93 | 175 | -1.414 | 0 | 75.6 | |
| 85 | 182.07 | 0 | 1.414 | 78.5 | |
| 85 | 167.93 | 0 | -1.414 | 77 | |
Result
From the book, the ANOVA table is:
| Source | Sum of Squares (Partial SS) | DF | Mean Square | F value | Prob > F |
|---|---|---|---|---|---|
| Model | 28.25 | 5 | 5.65 | 79.85 | <0.0001 |
| A | 7.92 | 1 | 7.92 | 111.93 | <0.0001 |
| B | 2.12 | 1 | 2.12 | 30.01 | 0.0009 |
| A∙A | 13.18 | 1 | 13.18 | 186.22 | <0.0001 |
| B∙B | 6.97 | 1 | 6.97 | 98.56 | <0.0001 |
| A∙B | 0.25 | 1 | 0.25 | 3.53 | 0.1022 |
| Residual | 0.5 | 7 | 0.071 | ||
| Lack of Fit | 0.28 | 3 | 0.094 | 1.78 | 0.2897 |
| Pure Error | 0.21 | 4 | 0.053 | ||
| Total | 28.74 | 12 |
The final equation in terms of the actual values of these two factors is:
The maximum yield is achieved at 80.21 with time=87 minutes and temperature=176.5 F.
Results in DOE++
The software results match the book results. The ANOVA table is:
The final equation in terms of the actual factors is:
The maximum yield is achieved at 80.21, as shown in the optimization plot. The values at the red dash line are the optimal values for factor A and factor B. The blue line is corresponding to the maximum Y value.
