Comparar métodos

	Response Surface Desirability Function	Optimización topológica (SIMP)
Campo	Ingeniería de fiabilidad	Ingeniería de fiabilidad
Familia	Process / pipeline	Process / pipeline
Año de origen	1951	1988
Autor original	George Box and Kenneth Wilson	Martin Bendsoe and Noboru Kikuchi
Tipo	Optimization methodology	Generative design algorithm
Fuente seminal	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.
Alias	RSM, Desirability function, Multi-response optimization	SIMP, Topology design, Generative design, Density-based optimization
Relacionados	4	4
Resumen	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.