Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Робастный анализ первопричин× | Шесть сигм DMAIC× | |
|---|---|---|
| Область≠ | Планирование эксперимента | Управление качеством |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1990s–2000s | 2014 |
| Автор метода≠ | Synthesised from RCA practice (Kepner-Tregoe, 1960s) and Taguchi robustness principles (1980s–1990s) | Motorola; Pyzdek & Keller |
| Тип≠ | Hybrid quality-engineering diagnostic method | Structured process improvement methodology |
| Основополагающий источник≠ | Andersen, B., & Fagerhaug, T. (2006). Root Cause Analysis: Simplified Tools and Techniques (2nd ed.). ASQ Quality Press. ISBN: 978-0873896924 | Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9 |
| Другие названия≠ | Robust RCA, Robustness-Integrated Root Cause Analysis, RRCA | DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC |
| Связанные≠ | 6 | 3 |
| Сводка≠ | 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. | 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. |
| ScholarGateНабор данных ↗ |
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