Design of Experiments (DOE) is a statistical approach used to plan, conduct, analyze, and interpret controlled tests to evaluate the factors that may influence a particular outcome. It helps in understanding the relationships between variables and their impact on system performance, making it crucial for optimizing processes and systems. By strategically varying inputs, researchers can identify significant factors and interactions, ultimately leading to better model validation and more effective simulation tools.
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