5.
Process Improvement
5.6. Case Studies 5.6.2. Sonoluminescent Light Intensity Case Study
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Plot the Data: Ordered Data Plot | The first step in the analysis is to generate an ordered data plot. | ||
Conclusions from the Ordered Data Plot |
We can make the following conclusions based on the ordered data
plot.
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Plot the Data: DOE Scatter Plot | The next step in the analysis is to generate a DOE scatter plot. | ||
Conclusions from the DOE Scatter Plot |
We can make the following conclusions based on the DOE scatter
plot.
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Check for Main Effects: DOE Mean Plot | The DOE mean plot is generated to more clearly show the main effects: | ||
Conclusions from the DOE Mean Plot |
We can make the following conclusions from the DOE mean plot.
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Comparison of Plots |
All of the above three plots are used primarily to determine the most
important factors. Because it plots a summary statistic rather
than the raw data, the DOE mean plot shows the ordering of the main
effects most clearly. However, it is still recommended to generate
either the ordered data plot or the DOE scatter plot (or both). Since
these plot the raw data, they can sometimes reveal features of the
data that might be masked by the DOE mean plot.
In this case, the ordered data plot and the DOE scatter plot clearly show two dominant points. This feature would not be obvious if we had generated only the DOE mean plot. Interpretation-wise, the most important factor X2 (solute) will, on the average, change the light intensity by about 80 units regardless of the settings of the other factors. The other factors are interpreted similarly. In terms of the best settings, note that the ordered data plot, based on the maximum response value, yielded
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