方法对比

	稳健质量功能展开	失效模式与影响分析 (FMEA)
领域	实验设计	实验设计
方法族	Process / pipeline	Process / pipeline
起源年份	2000s (robust extensions of QFD originating 1966)	1949 (military); widespread industrial adoption 1970s–1980s
提出者	Extension of Yoji Akao's QFD (1966); robust adaptation by Fung, Kwong and others (early 2000s)	U.S. Military / NASA (formalized by MIL-P-1629, 1949)
类型	Hybrid quality-engineering planning method	Proactive risk analysis technique
开创性文献	Fung, R. Y. K., Tang, J., & Tu, Y. (2002). Modeling of quality function deployment planning under resource allocation constraints. Computers & Industrial Engineering, 43(1–2), 313–328.	Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989
别名	Robust QFD, Uncertainty-tolerant QFD, Fuzzy-robust QFD, Robust House of Quality	FMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis
相关	4	6
摘要	Robust Quality Function Deployment (Robust QFD) extends the classical House of Quality framework by explicitly modeling uncertainty and variability in customer requirements, perception ratings, and engineering correlation judgments. Instead of treating inputs as crisp single-point values, it applies fuzzy sets, interval analysis, or Taguchi-inspired robustness techniques to ensure that the resulting design targets remain stable and customer-satisfying even when inputs are imprecise or fluctuating.	Failure Mode and Effects Analysis (FMEA) is a structured, proactive risk management technique used to identify potential failure modes in a system, process, or product design, evaluate their consequences, and prioritize corrective actions before failures occur. Originally developed for the U.S. military in 1949 and later adopted by NASA, automotive, and manufacturing industries, FMEA is now a cornerstone quality-engineering tool embedded in standards such as AIAG-VDA and ISO 9001-aligned processes.