Response Surface Methodology (RSM) is a statistical technique used for optimizing processes and improving product quality. It involves designing experiments to explore the relationships between multiple input variables and one or more output responses. By creating a mathematical model, RSM helps identify the optimal conditions for achieving desired outcomes. RSM typically employs a series of experiments to generate a response surface, which visually represents how changes in input variables affect the output. This approach is widely used in various fields, including engineering, pharmaceuticals, and agriculture, to enhance efficiency and effectiveness in decision-making.