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堅牢な根本原因分析×ロバスト故障の木解析×
分野実験計画法実験計画法
系統Process / pipelineProcess / pipeline
提唱年1990s–2000s1980s–2000s (robustness extensions to classical FTA ca. 1961)
提唱者Synthesised from RCA practice (Kepner-Tregoe, 1960s) and Taguchi robustness principles (1980s–1990s)Extended from classical FTA (Watson, 1961; Bell Labs / U.S. Air Force); robustness extensions developed through reliability engineering and uncertainty quantification research from the 1980s onward
種類Hybrid quality-engineering diagnostic methodQuantitative reliability and safety analysis with uncertainty propagation
原典Andersen, B., & Fagerhaug, T. (2006). Root Cause Analysis: Simplified Tools and Techniques (2nd ed.). ASQ Quality Press. ISBN: 978-0873896924Vesely, W. E., Goldberg, F. F., Roberts, N. H., & Haasl, D. F. (1981). Fault Tree Handbook. U.S. Nuclear Regulatory Commission, NUREG-0492. link ↗
別名Robust RCA, Robustness-Integrated Root Cause Analysis, RRCARobust FTA, Uncertainty-aware FTA, FTA with interval analysis, Imprecise probability FTA
関連66
概要Robust Root Cause Analysis (Robust RCA) integrates classical root cause investigation techniques — such as the 5-Whys, Ishikawa diagrams, and fault trees — with Taguchi's robustness thinking to identify not only the primary cause of a failure but also the noise factors and variability sources that allow the failure to occur repeatedly. The result is corrective actions that eliminate the root cause and make the system inherently insensitive to future variation.Robust Fault Tree Analysis (Robust FTA) extends classical fault tree analysis by explicitly representing and propagating uncertainty in component failure probabilities. Rather than assigning single point estimates to basic events, it uses probability distributions, interval bounds, or imprecise probabilities, then propagates these through the logical tree structure to obtain bounds or distributions on the top-event failure probability. This makes risk conclusions defensible under incomplete or variable data.
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ScholarGate手法を比較: Robust Root Cause Analysis · Robust Fault Tree Analysis. 2026-06-17に以下より取得 https://scholargate.app/ja/compare