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One major advantage in using an optimization strategy based on the simplex algorithm is that it can follow a drift in process conditions. MultiSimplex is therefore useful for continuous optimization of an unstable process.
I want to produce "good quality", but how do I specify the optimization objectives? How can I optimize, when the specifications do not allow any change in conditions? Can the system be too complicated for MultiSimplex? Is MultiSimplex necessary if there is only one important variable affecting the response? Are our skill and know-how of any value? Is there any industrial experience with these methods? How does the MultiSimplex methods compare with ordinary statistical methods? Can MultiSimplex solve any optimization problem?
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