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تحلیل علل ریشه‌ای مبتنی بر ریسک×سیکس سیگما DMAIC×
حوزهطراحی آزمایشمدیریت کیفیت
خانوادهProcess / pipelineProcess / pipeline
سال پیدایش1990s–2000s (risk-informed extension of classical RCA)2014
پدیدآورDeveloped within safety and quality engineering communities; risk integration formalized through CCPS and ISO 31000 frameworksMotorola; Pyzdek & Keller
نوعHybrid risk-analytic investigation methodStructured process improvement methodology
منبع بنیادینLatino, R. J., & Latino, K. C. (2006). Root Cause Analysis: Improving Performance for Bottom-Line Results (3rd ed.). CRC Press. ISBN: 978-0849380815Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9
نام‌های دیگرRisk-based RCA, RBRCA, Risk-weighted root cause analysis, Risk-informed failure investigationDMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC
مرتبط63
خلاصهRisk-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.Six Sigma DMAIC is a data-driven, five-phase process improvement methodology — Define, Measure, Analyze, Improve, and Control — used to reduce defects and process variation to fewer than 3.4 defects per million opportunities. Originating at Motorola in the 1980s and systematized by practitioners including Pyzdek and Keller, it is widely adopted in manufacturing, healthcare, finance, and service industries seeking sustained quality gains.
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ScholarGateمقایسهٔ روش‌ها: Risk-based Root Cause Analysis · Six Sigma DMAIC. بازیابی‌شده در 2026-06-17 از https://scholargate.app/fa/compare