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August 4, 2026 at 8:05 am
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August 11, 2026 at 5:14 pm
akhemka
Forum ModeratorIn response surface optimization, sensitivity refers to the degree to which a change in one input variable affects the output variable. It is a crucial aspect of RSM as it helps in understanding the interplay between factors and responses, which is essential for optimizing processes. Sensitivity analysis can be performed using various techniques, including design of experiments (DoE), Monte Carlo, and correlation methods. It allows practitioners to evaluate how model parameters influence the output or design requirements, providing insights into the most effective parameter combinations for achieving desired outcomes.
3.1.2. Response Surface Based Methods
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