RSM

Optimization designs refer to experimental design strategies that are specifically structured to optimize a process, product, or system. The goal of these designs is to identify the combination of factors (inputs) that lead to the best possible outcome (response) according to a defined objective, such as maximizing performance, minimizing cost, or finding the most efficient operating conditions. Learn more about experimental designs when influential factors have been identified and the goal is to optimize their levels. Principle underlying the construction of composite and Box-Behnken design are covered. Principle, model-building, and response surface methodology are reviewed.