Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Канбан× | Агрегатное планирование× | |
|---|---|---|
| Область | Операционный менеджмент | Операционный менеджмент |
| Семейство | Machine learning | Machine learning |
| Год появления≠ | 1950 | 1992 |
| Автор метода≠ | Taiichi Ohno | Wallace, T. F. |
| Тип≠ | Production control system | Demand-supply planning framework |
| Основополагающий источник≠ | Ohno, T. (1988). Toyota production system: Beyond large-scale production. Cambridge, MA: Productivity Press. link ↗ | Wallace, T. F. (1992). Sales & Operations Planning: The how-to handbook. Cincinnati: APICS Publications. link ↗ |
| Другие названия | visual management, pull system | sales and operations planning, production planning |
| Связанные | 5 | 5 |
| Сводка≠ | Kanban is a pull-based production control system developed by Taiichi Ohno at Toyota in the 1950s that uses visual signals (traditionally cards or bins) to trigger production and movement of materials based on actual demand rather than forecasts. The Japanese word 'kanban' means 'visual card' or 'sign,' and the system operates on the principle that work should flow in response to downstream requirements. Kanban is a foundational element of the Toyota Production System and lean manufacturing, enabling just-in-time production, reduced inventory, and improved flow efficiency. | Aggregate Planning (or Sales & Operations Planning, S&OP) is a collaborative, iterative process that balances demand and supply at a high level—typically grouping products into families and planning over a 3–18 month horizon. Developed formally by Tom Wallace and popularized through APICS, aggregate planning helps organizations align sales forecasts, production capacity, inventory, and workforce to meet demand efficiently while managing costs. It serves as the bridge between strategic business plans and detailed operational execution. |
| ScholarGateНабор данных ↗ |
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