Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Агрегатное планирование× | Модель SCOR× | |
|---|---|---|
| Область | Операционный менеджмент | Операционный менеджмент |
| Семейство | Machine learning | Machine learning |
| Год появления≠ | 1992 | 1996 |
| Автор метода≠ | Wallace, T. F. | Pittiglio, Rabin, Todd & McGrath |
| Тип≠ | Demand-supply planning framework | Supply chain reference framework |
| Основополагающий источник≠ | Wallace, T. F. (1992). Sales & Operations Planning: The how-to handbook. Cincinnati: APICS Publications. link ↗ | Stewart, G. (1997). Supply chain operations reference model: SCOR, logistics information management, Vol. 10 No. 5, pp. 62-74. link ↗ |
| Другие названия≠ | sales and operations planning, production planning | — |
| Связанные | 5 | 5 |
| Сводка≠ | 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. | The Supply Chain Operations Reference Model is a standardized framework for supply chain management developed by the Supply Chain Council (now APICS) in 1996. SCOR provides a structured approach to identify, evaluate, and improve supply chain processes across organizations, regardless of industry. It integrates planning, sourcing, manufacturing, delivery, and returns into a coherent operational model. |
| ScholarGateНабор данных ↗ |
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