Response Surface Methodology (RSM)

Response Surface Methodology (RSM) is a collection of statistical techniques used to optimize processes or products by exploring the relationships between several input factors and the outcomes they produce. It involves designing experiments to gather data, fitting mathematical models to describe the responses, and then analyzing these models to identify the best conditions. RSM helps efficiently find optimal settings, understand interactions among variables, and improve performance without testing every possible combination, making it a valuable tool in engineering, manufacturing, and research for making data-driven decisions.