Bandingkan metode

	Analisis Mode Kegagalan dan Efek Bayesian	Analisis Mode Kegagalan dan Efek (FMEA)
Bidang	Desain Eksperimen	Desain Eksperimen
Keluarga	Process / pipeline	Process / pipeline
Tahun asal	1990s–2000s	1949 (military); widespread industrial adoption 1970s–1980s
Pencetus	Extension of classical FMEA (MIL-STD-1629, 1974) with Bayesian inference formalised in reliability literature from the 1990s onward	U.S. Military / NASA (formalized by MIL-P-1629, 1949)
Tipe	Probabilistic reliability and risk analysis	Proactive risk analysis technique
Sumber perintis	Bowles, J. B., & Peláez, C. E. (1995). Fuzzy logic prioritization of failures in a system failure mode, effects and criticality analysis. Reliability Engineering and System Safety, 50(2), 203–213.	Stamatis, D. H. (2003). Failure Mode and Effect Analysis: FMEA from Theory to Execution (2nd ed.). ASQ Quality Press. ISBN: 978-0873895989
Alias	Bayesian FMEA, probabilistic FMEA, B-FMEA, Bayesian risk priority analysis	FMEA, Failure Modes and Effects Analysis, FMECA, Failure Mode Effects and Criticality Analysis
Terkait	5	6
Ringkasan	Bayesian FMEA extends the classical Failure Mode and Effects Analysis framework by replacing fixed point-estimate risk scores with probability distributions, allowing prior engineering knowledge and observed failure data to be formally combined through Bayes' theorem. The result is a probabilistic Risk Priority Number (RPN) that reflects uncertainty in severity, occurrence, and detectability ratings rather than masking it with single consensus values.	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.