Methoden vergelijken

	Bayesian Fault Tree Analysis	Root Cause Analysis
Vakgebied	Experimenteel ontwerp	Kwaliteitsmanagement
Familie	Process / pipeline	Process / pipeline
Jaar van ontstaan	2001 (BFTA mapping); Bayesian networks: 1988	1986
Grondlegger	Andrea Bobbio, Luca Portinale et al. (mapping FTA to Bayesian networks); Judea Pearl (Bayesian networks)	Kaoru Ishikawa
Type	Probabilistic reliability / safety analysis	Structured causal-inference tool
Oorspronkelijke bron	Bobbio, A., Portinale, L., Minichino, M., & Ciancamerla, E. (2001). Improving the analysis of dependable systems by mapping fault trees into Bayesian networks. Reliability Engineering & System Safety, 71(3), 249–260.	Ishikawa, K. (1986). Guide to Quality Control (2nd ed.). Asian Productivity Organization. ISBN: 978-92-833-1036-7
Aliassen	BFTA, Bayesian FTA, Bayesian network fault tree, probabilistic fault tree analysis	Cause-and-Effect Analysis, Fishbone Analysis, Ishikawa Diagram, Kök Neden Analizi
Verwant	5	3
Samenvatting	Bayesian Fault Tree Analysis (BFTA) extends classical fault tree analysis by converting the fault tree structure into an equivalent Bayesian network, enabling probabilistic inference in both forward (prediction) and backward (diagnosis) directions. This integration allows analysts to update failure probability estimates with observed evidence, quantify uncertainty explicitly, and identify the most probable root causes of a top-level system failure.	Root Cause Analysis (RCA) is a structured, systematic method for identifying the fundamental causes of defects, failures, or undesirable outcomes rather than treating surface-level symptoms. Popularised by Japanese quality engineer Kaoru Ishikawa in the 1960s–1980s, and formally codified in his 1986 Guide to Quality Control, RCA combines the Ishikawa (fishbone) diagram with the iterative 5 Whys questioning technique to trace causal chains back to their origin.