Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Теория ограничений (ТО)× | Закон Литтла (L = λW)× | |
|---|---|---|
| Область≠ | Управление качеством | Исследование операций |
| Семейство≠ | Process / pipeline | Regression model |
| Год появления≠ | 1990 | 1961 |
| Автор метода≠ | Eliyahu Goldratt | John D. C. Little |
| Тип≠ | Continuous improvement framework | Exact queueing identity |
| Основополагающий источник≠ | Goldratt, E. M. (1990). Theory of Constraints. North River Press. ISBN: 978-0-88427-166-6 | Little, J. D. C. (1961). A proof for the queuing formula: L = λW. Operations Research, 9(3), 383–387. DOI ↗ |
| Другие названия | TOC, Constraint Management, Bottleneck Theory, Kısıtlar Teorisi | L = λW Theorem, Little's Theorem, Little's Result, Little Yasası |
| Связанные | 3 | 3 |
| Сводка≠ | The Theory of Constraints (TOC) is a management philosophy and continuous improvement framework introduced by Eliyahu Goldratt in his 1984 novel The Goal and formalized in his 1990 book. TOC holds that every system has at least one constraint — a bottleneck that limits the system's overall throughput — and that systematically identifying and addressing that constraint is the most effective lever for improving performance. It is widely applied in manufacturing, project management, supply chains, and service operations. | Little's Law is a fundamental theorem in queueing theory that relates the long-run average number of items in a stable system (L) to the long-run average arrival rate (λ) and the long-run average time an item spends in the system (W), expressed as L = λW. Introduced and rigorously proved by John D. C. Little in 1961, the law holds for virtually any stable stochastic system, requiring no assumptions about arrival distributions, service distributions, or queue disciplines. |
| ScholarGateНабор данных ↗ |
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