Compara mètodes

	Response Surface Desirability Function	Optimització topològica (SIMP)
Camp	Enginyeria de fiabilitat	Enginyeria de fiabilitat
Família	Process / pipeline	Process / pipeline
Any d'origen	1951	1988
Autor original	George Box and Kenneth Wilson	Martin Bendsoe and Noboru Kikuchi
Tipus	Optimization methodology	Generative design algorithm
Font 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.
Àlies	RSM, Desirability function, Multi-response optimization	SIMP, Topology design, Generative design, Density-based optimization
Relacionats	4	4
Resum	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.