Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
RSM is widely applied in engineering, product development, manufacturing, and research and development. Its strength lies in its ability to handle complex, multivariate systems where interactions between variables are significant. RSM provides a systematic approach to optimization, making it far more efficient than experimenting with one variable at a time, particularly when the underlying data generation process is poorly understood.
From Chapter 14:
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