방법 비교

	반응 표면 방법론과 바람직도 함수 최적화	위상 최적화 (SIMP)
분야	신뢰성공학	신뢰성공학
계열	Process / pipeline	Process / pipeline
기원 연도	1951	1988
창시자	George Box and Kenneth Wilson	Martin Bendsoe and Noboru Kikuchi
유형	Optimization methodology	Generative design algorithm
원전	Box, G. E. P., & Wilson, K. B. (1951). On the experimental attainment of optimum conditions. Journal of the Royal Statistical Society, 13(1), 1-45.	Bendsoe, M. P., & Kikuchi, N. (1988). Generating optimal topologies in structural design using a homogenization method. Computer Methods in Applied Mechanics and Engineering, 71(2), 197-224.
별칭	RSM, Desirability function, Multi-response optimization	SIMP, Topology design, Generative design, Density-based optimization
관련	4	4
요약	Response Surface Methodology (RSM) is a set of statistical and mathematical techniques for modeling and optimizing processes with multiple inputs (factors) and outputs (responses). The Desirability Function approach, introduced by Harrington (1965) and refined by Derringer and Suich (1980), extends RSM to solve multi-response optimization problems by combining competing objectives into a single index. This methodology is essential in product and process development where engineers must balance performance, cost, and reliability.	Topology Optimization is a computational method for distributing material optimally within a design space to maximize structural performance (strength, stiffness) while minimizing weight or cost. The Solid Isotropic Material with Penalization (SIMP) method, developed by Bendsoe and Kikuchi (1988), iteratively refines a material density distribution across the design domain using sensitivity analysis and gradient-based optimization. SIMP has revolutionized structural design in aerospace, automotive, and mechanical engineering by automating the generation of efficient structures.