Comparer des méthodes

	Response Surface Desirability Function	Comptage Rainflow
Domaine	Ingénierie de la fiabilité	Ingénierie de la fiabilité
Famille	Process / pipeline	Process / pipeline
Année d'origine	1951	1974
Auteur d'origine	George Box and Kenneth Wilson	Tatsuo Endo
Type	Optimization methodology	Cycle counting algorithm
Source fondatrice	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.	Goodman, J. (1899). Mechanics Applied to Engineering. Longman, Green and Co.
Alias	RSM, Desirability function, Multi-response optimization	Rainflow cycle counting, RFC
Apparentées	4	4
Résumé	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.	Rainflow counting is a fatigue cycle counting method that converts a complex stress history into individual cycles for damage assessment. Developed by Tatsuo Endo and colleagues in 1974, it provides the most physically realistic representation of fatigue damage when combined with Miner's linear cumulative damage hypothesis. The algorithm has become the industry standard in reliability engineering and vibration analysis.