Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Закон Литтла (L = λW)× | Визуализация производственных потоков (VSM)× | |
|---|---|---|
| Область≠ | Исследование операций | Управление качеством |
| Семейство≠ | Regression model | Process / pipeline |
| Год появления≠ | 1961 | 1999 |
| Автор метода≠ | John D. C. Little | Mike Rother & John Shook |
| Тип≠ | Exact queueing identity | Visual process analysis tool |
| Основополагающий источник≠ | Little, J. D. C. (1961). A proof for the queuing formula: L = λW. Operations Research, 9(3), 383–387. DOI ↗ | Rother, M., & Shook, J. (1999). Learning to See: Value Stream Mapping to Add Value and Eliminate Muda. Lean Enterprise Institute. ISBN: 978-0-9667843-0-5 |
| Другие названия | L = λW Theorem, Little's Theorem, Little's Result, Little Yasası | VSM, Material and Information Flow Mapping, Lean Flow Mapping, Değer Akış Haritalama |
| Связанные | 3 | 3 |
| Сводка≠ | 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. | Value Stream Mapping (VSM) is a lean management technique used to visualize, analyze, and improve the flow of materials and information required to bring a product or service from raw input to customer delivery. Introduced by Mike Rother and John Shook in their 1999 workbook Learning to See, VSM draws on the Toyota Production System tradition to expose waste, delays, and non-value-adding activities across the entire production value stream. |
| ScholarGateНабор данных ↗ |
|
|