手法を比較

	信頼性解析との感度解析	ロバスト信頼性解析
分野	実験計画法	実験計画法
系統	Process / pipeline	Process / pipeline
提唱年	1969 (importance measures); 2000s (global SA integration)	1980s–1990s (integration formalized in engineering literature)
提唱者	Birnbaum (importance measures, 1969); Saltelli et al. (global SA formalization, 2000s)	Synthesized from Taguchi robust design and classical reliability theory (Kececioglu, Taguchi)
種類	Quantitative integrated engineering method	Quantitative reliability engineering method
原典	Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D., Saisana, M., & Tarantola, S. (2008). Global Sensitivity Analysis: The Primer. Wiley. ISBN: 978-0470059975	Kececioglu, D. (1991). Reliability Engineering Handbook (Vol. 1). Prentice Hall. ISBN: 978-0137720774
別名	SA-RA, reliability sensitivity analysis, importance measures in reliability, reliability-based sensitivity analysis	RRA, reliability robustness analysis, uncertainty-aware reliability analysis, robust probabilistic reliability
関連	5	4
概要	Sensitivity analysis integrated with reliability analysis is a quantitative engineering method that determines how uncertainty or variation in each system input — such as component failure rates, material properties, or load distributions — propagates into overall system reliability. By computing importance measures for every uncertain parameter, analysts can rank components and assumptions by their influence on system dependability, focusing improvement efforts where they matter most.	Robust reliability analysis is an engineering method that combines classical reliability estimation with robustness principles to quantify and improve system dependability in the presence of parameter uncertainty and variability. Rather than assuming fixed input values, it propagates distributions of noise factors through a reliability model to produce probability-of-failure estimates that remain valid across a range of operating conditions and manufacturing tolerances.