Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Оптимизация технического обслуживания× | Шесть сигм DMAIC× | |
|---|---|---|
| Область≠ | Надёжность | Управление качеством |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 2002 | 2014 |
| Автор метода≠ | Hongzhou Wang | Motorola; Pyzdek & Keller |
| Тип≠ | decision optimization framework | Structured process improvement methodology |
| Основополагающий источник≠ | Wang, H. (2002). A survey of maintenance policies of deteriorating systems. European Journal of Operational Research, 139(3), 469–489. DOI ↗ | Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9 |
| Другие названия | Optimal Maintenance Policy, Preventive Maintenance Scheduling, Predictive Maintenance Optimization, Bakım Optimizasyonu | DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC |
| Связанные | 3 | 3 |
| Сводка≠ | Maintenance Optimization is a quantitative framework for determining the timing, type, and frequency of maintenance actions—preventive, predictive, or corrective—that minimize total cost or expected downtime over a system's operational life. Systematic formulations were consolidated by Hongzhou Wang (2002), whose survey unified age-replacement, block-replacement, and imperfect-repair policies under a common cost-rate structure applicable to deteriorating systems across engineering and operations management. | 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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