Experimental design and mixed systems optimization controlled by quantitative and qualitative variables
Abstract
This study has the aim to propose an alternative methodology for system optimization and an experimental design where the qualitative and quantitative variables were combined. Three central composite (rotational) designs were combined to produce a model with these two different kinds of variables. A 2² factorial design was also suggested as a central point to study one qualitative and two quantitative factors. The models were optimized using the otplex software, previously validated through a high complexity level function. The results either to the designs or to the optimization, confirm that the technique is a promising tool in the mixed system analysis controlled by qualitative and quantitative factors.Downloads
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Published
2008-04-22
How to Cite
Bona, E., Borsato, D., Silva, R. S. dos S. F. da, Benetasso, D. L., & Souza, D. A. de. (2008). Experimental design and mixed systems optimization controlled by quantitative and qualitative variables. Acta Scientiarum. Technology, 24, 1843-1850. https://doi.org/10.4025/actascitechnol.v24i0.2561
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Section
Food Technology
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0.8
2019CiteScore
36th percentile
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0.8
2019CiteScore
36th percentile
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