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1. Mixture optimization. Response surfaces
In the article
, the first part of this presentation, we have demonstrated the use of more qualitative than quantitative techniques, whose conclusions are generally the starting point for a more detailed study. We are now going to develop quantitative techniques for building predictive models of the behavior of
Response surface methodology (RSM) applied to independent factors has been developed in numerous works
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Mixture optimization. Response surfaces
Multi-criteria optimization and desirability
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To contact the authors of the articles and :
Didier MATHIEU: [ [email protected] ]
Roger PHAN-TAN-LUU: [ [email protected] ]
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Quality criteria for an experience matrix
There are many criteria, both mathematical and qualitative, that can be used to choose one matrix of experiments over another. They fall into three broad categories, depending on whether they are related:
experimentation plan: number of experiments, cost of experimentation, number and organization of levels and level changes, sequentiality, etc....
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