Introduction: When “More Experiments” Is No Longer the Answer In modern scientific research and engineering development, the central challenge is no longer whether to run experiments, but how to extract maximum insight from limited time, resources, and experimental capacity . Across drug development, bioprocess optimization, materials science, and platform R&D, researchers routinely face systems governed by multiple interacting variables. Traditional one-factor-at-a-time (OFA