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3. Mixed factor/component problems
We have seen in the previous paragraphs of this article and in article that the formulator is faced with both general planning problems (such as factor screening, multi-criteria optimization of a response surface, etc.) and specific ones (compositional variables inducing an experimental domain in the form of a triangular diagram, existence of various individual or relational constraints). The most complex case is when the problem involves both independent factors, such as temperature, processing time or any other manufacturing factor, and compositional variables of a formula. We will consider two different approaches.
3.1 Problem statement. Additive in small quantities
As in the first examples in the article , let's consider...
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Mixed factor/component problems
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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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