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4. Conclusions. Outlook
In this article, we have shown that the shape of the experimental domain in formulation can be very simple (a triangular diagram, for example) or very complex (domain with constraints, mixtures of mixtures, very disparate ranges of variation of components, presence of manufacturing factors, etc.). At the same time, we have shown how empirical mathematical models can be developed in these different cases, to enable simulation or optimization of experimental responses. In addition to standard experiment matrices, we presented techniques for constructing problem-specific experiment matrices, often referred to as "à la carte" matrices. Finally, we have taken into account the existence of several experimental responses and shown the possibilities for finding the best compromise.
In the following articles ( and on the planning of experiments...
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Conclusions. Outlook
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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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