方法对比
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| 综合计划× | Kanban× | |
|---|---|---|
| 领域 | 运营管理 | 运营管理 |
| 方法族 | Machine learning | Machine learning |
| 起源年份≠ | 1992 | 1950 |
| 提出者≠ | Wallace, T. F. | Taiichi Ohno |
| 类型≠ | Demand-supply planning framework | Production control system |
| 开创性文献≠ | Wallace, T. F. (1992). Sales & Operations Planning: The how-to handbook. Cincinnati: APICS Publications. link ↗ | Ohno, T. (1988). Toyota production system: Beyond large-scale production. Cambridge, MA: Productivity Press. link ↗ |
| 别名 | sales and operations planning, production planning | visual management, pull system |
| 相关 | 5 | 5 |
| 摘要≠ | 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. | 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. |
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