Bandingkan kaedah

	Metodologi Permukaan Gerak Balas dengan Pengoptimuman Fungsi Keinginan	Kiraan Aliran Hujan
Bidang	Kejuruteraan Kebolehpercayaan	Kejuruteraan Kebolehpercayaan
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	1951	1974
Pengasas	George Box and Kenneth Wilson	Tatsuo Endo
Jenis	Optimization methodology	Cycle counting algorithm
Sumber perintis	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
Berkaitan	4	4
Ringkasan	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.