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ΠεδίοΠειραματικός ΣχεδιασμόςΔιοίκηση Ποιότητας
ΟικογένειαProcess / pipelineProcess / pipeline
Έτος προέλευσης1990s–2000s (risk-informed extension of classical RCA)1986
ΔημιουργόςDeveloped within safety and quality engineering communities; risk integration formalized through CCPS and ISO 31000 frameworksKaoru Ishikawa
ΤύποςHybrid risk-analytic investigation methodStructured causal-inference tool
Θεμελιώδης πηγήLatino, R. J., & Latino, K. C. (2006). Root Cause Analysis: Improving Performance for Bottom-Line Results (3rd ed.). CRC Press. ISBN: 978-0849380815Ishikawa, K. (1986). Guide to Quality Control (2nd ed.). Asian Productivity Organization. ISBN: 978-92-833-1036-7
Εναλλακτικές ονομασίεςRisk-based RCA, RBRCA, Risk-weighted root cause analysis, Risk-informed failure investigationCause-and-Effect Analysis, Fishbone Analysis, Ishikawa Diagram, Kök Neden Analizi
Συναφείς63
ΣύνοψηRisk-based Root Cause Analysis (RBRCA) integrates classical root cause investigation with quantitative or semi-quantitative risk assessment to ensure that corrective actions are directed first at the causes that carry the highest probability and consequence of recurrence. Unlike standard RCA, which identifies root causes without systematically ranking their hazard potential, RBRCA assigns risk scores to each identified cause, allowing organizations to allocate limited remediation resources where they can reduce overall risk most efficiently.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.
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ScholarGateΣύγκριση μεθόδων: Risk-based Root Cause Analysis · Root Cause Analysis. Ανακτήθηκε στις 2026-06-17 από https://scholargate.app/el/compare