Mixture Design Tutorial (Part 2 â Optimization) - Statease.info

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Setting the turbidity contour valuePress OK to get the cleaner contour level. Right-click over the flag and select Deleteflag to make it easier to see how this change in turbidity affects the sweet spots. Noticethat the smaller one has now disappeared.Changing the specification on turbidity to 750 maximumGraphical optimization works great for three components, but as the number increases, itbecomes more and more tedious. You will find solutions much more quickly by usingthe numerical optimization feature. Then return to the graphical optimization andproduce outputs for presentation purposes.Response Prediction at the OptimumClick on the Point Prediction node (lower left on your screen). Notice how it nowdefaults to the first solution.20 • Mixture Design Tutorial – Part 2 Design-Expert 7 User’s Guide
DX7-05B-Mix-P2.doc Rev. 4/12/06Point prediction set to solution #1Save the Data to a FileNow that you’ve invested all this time into setting up the optimization for this design, itwould be prudent to save your work. Click on the File menu item and select Save As.Save As selectionFinal CommentsYou can then specify the File name (we suggest tut-MIX-opt) to Save as type *.dx7”in the Data folder for Design-Expert (or wherever you want to Save in).We feel that numerical optimization provides powerful insights when combined withgraphical analysis. Numerical optimization becomes essential when you investigatemany components with many responses. However, computerized optimization will notwork very well in the absence of subject matter knowledge. For example, a naive usermay define impossible optimization criteria. The result will be zero desirabilityeverywhere! To avoid this, try setting broad acceptable ranges. Narrow them down asyou gain knowledge about how changing factor levels affect the responses. Often, youwill need to make more than one pass to find the “best” factor levels to satisfyconstraints on several responses simultaneously.With Design-Expert software, you can explore the impact of changing multiplecomponents on multiple responses, and find maximally desirable solutions quickly vianumerical optimization. (Don’t forget that you can set goals on the componentsthemselves – for example, in this case it might be wise to try maximizing the amount ofcheap water.) For your final report, finish up with a graphical overlay plot at theoptimum “slice.”Design-Expert 7 User’s Guide Mixture Design Tutorial – Part 2 • 21
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Mixture Design Tutorial (Part 2 â Optimization) - Statease.info