مقایسهٔ روش‌ها

	تحلیل قابلیت اطمینان به کمک بهینه‌سازی	طراحی آزمایش‌ها
حوزه	طراحی آزمایش	طراحی آزمایش
خانواده	Process / pipeline	Process / pipeline
سال پیدایش	1990s–2000s	1935
پدیدآور	Enevoldsen, Sørensen, Der Kiureghian (foundational RBDO formulations, 1990s)	Ronald A. Fisher
نوع	Hybrid quantitative engineering method	Experimental planning framework
منبع بنیادین	Haukaas, T., & Der Kiureghian, A. (2006). Strategies for finding the design point in non-linear finite element reliability analysis. Probabilistic Engineering Mechanics, 21(2), 133–147.	Fisher, R. A. (1935). The Design of Experiments. Oliver and Boyd.
نام‌های دیگر	RBDO-coupled reliability analysis, optimization-integrated reliability assessment, reliability-based optimization, OA-RA	DOE, experimental design, factorial experimentation, planned experimentation
مرتبط	6	3
خلاصه	Optimization-assisted reliability analysis couples probabilistic reliability assessment with mathematical optimization to simultaneously identify failure probabilities and find design configurations that satisfy reliability targets at minimum cost or weight. Widely applied in structural, mechanical, and aerospace engineering, it integrates methods such as FORM, SORM, or Monte Carlo simulation within an optimization loop so that design decisions are driven by quantified risk rather than deterministic safety factors alone.	Design of Experiments (DOE) is a systematic framework for planning, conducting, and analyzing controlled experiments to determine how multiple input factors simultaneously affect one or more responses. Introduced by Ronald A. Fisher in 1935, DOE allows researchers and engineers to identify causal relationships, quantify factor effects, and find optimal settings efficiently — using far fewer runs than one-factor-at-a-time approaches. It is foundational in engineering, manufacturing, agriculture, and applied sciences.