Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Общая эффективность оборудования (OEE)× | Шесть сигм DMAIC× | |
|---|---|---|
| Область | Управление качеством | Управление качеством |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1988 | 2014 |
| Автор метода≠ | Seiichi Nakajima | Motorola; Pyzdek & Keller |
| Тип≠ | Multiplicative KPI framework | Structured process improvement methodology |
| Основополагающий источник≠ | Nakajima, S. (1988). Introduction to TPM: Total Productive Maintenance. Productivity Press. ISBN: 978-0-915299-23-2 | Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9 |
| Другие названия | OEE, Equipment Effectiveness Index, Machine Effectiveness Ratio, Toplam Ekipman Etkinliği | DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC |
| Связанные | 3 | 3 |
| Сводка≠ | Overall Equipment Effectiveness (OEE) is a composite key performance indicator that quantifies how effectively a manufacturing operation uses its equipment relative to its full potential. Developed by Seiichi Nakajima in 1988 as a cornerstone metric of Total Productive Maintenance (TPM), OEE multiplies three loss factors—Availability, Performance, and Quality—to yield a single percentage that benchmarks actual productive output against ideal output. | 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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