পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| ঝুঁকি-ভিত্তিক মূল কারণ বিশ্লেষণ× | Root Cause Analysis× | |
|---|---|---|
| ক্ষেত্র≠ | পরীক্ষামূলক নকশা | মান ব্যবস্থাপনা |
| পরিবার | Process / pipeline | Process / pipeline |
| উদ্ভবের বছর≠ | 1990s–2000s (risk-informed extension of classical RCA) | 1986 |
| প্রবর্তক≠ | Developed within safety and quality engineering communities; risk integration formalized through CCPS and ISO 31000 frameworks | Kaoru Ishikawa |
| ধরন≠ | Hybrid risk-analytic investigation method | Structured causal-inference tool |
| মৌলিক উৎস≠ | Latino, R. J., & Latino, K. C. (2006). Root Cause Analysis: Improving Performance for Bottom-Line Results (3rd ed.). CRC Press. ISBN: 978-0849380815 | Ishikawa, K. (1986). Guide to Quality Control (2nd ed.). Asian Productivity Organization. ISBN: 978-92-833-1036-7 |
| অপর নাম | Risk-based RCA, RBRCA, Risk-weighted root cause analysis, Risk-informed failure investigation | Cause-and-Effect Analysis, Fishbone Analysis, Ishikawa Diagram, Kök Neden Analizi |
| সম্পর্কিত≠ | 6 | 3 |
| সারসংক্ষেপ≠ | Risk-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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