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Optimizing the Process: Response Surface Designs
Introduction
Design of experiments (DOE) is effective in finding the contribution of various factors in the response. We can find out which are the significant ‘X's. The first order model does not consider a curvature. In a full factorial experiment with two factors, the estimated response for two factors is modeled using
The assumption of linearity may not sometimes be true. However, this is not a major concern till we are interested in finding the optimum settings. As the process settings draw closer to the optimum, the curvature is likely to become more prominent and significant. At ...
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