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Can the system be too complicated for MultiSimplex?

The only way to optimize a complex system is through a systematic approach. The optimization project can be subdivided into several steps if the number of influential control variables is more than 15. MultiSimplex doesn’t require any model assumptions, and can handle nonlinear relationships. Therefore it is unlikely that the system is "too complicated".

Other frequently asked questions:

1. I want to produce "good quality", but how do I specify the optimization objectives?
2. How can I optimize, when the specifications do not allow any change in conditions?
3. The process is not stable, how is it possible to optimize?
4. Is MultiSimplex necessary if there is only one important variable affecting the response?
5. Are our skill and know-how of any value?
6. Is there any industrial experience with these methods?
7. How does the MultiSimplex methods compare with ordinary statistical methods?
8. Can MultiSimplex solve any optimization problem?

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