HASOD: A Hybrid Adaptive Screening-Optimization Design for High-Dimensional Industrial Experiments
HASOD:面向高维工业实验的混合自适应筛选—优化设计
Industrial experimentation requires both factor screening to identify critical variables and response optimization to find optimal operating conditions. Traditional approaches treat these as separate phases, necessitating costly sequential experimentation and full experimental redesign between phases. This paper introduces HASOD (Hybrid Adaptive Screening-Optimization Design), a novel three-phase sequential framework that simultaneously addresses factor identification and…