Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Кросс-докинг× | Агрегатное планирование× | |
|---|---|---|
| Область | Операционный менеджмент | Операционный менеджмент |
| Семейство | Machine learning | Machine learning |
| Год появления≠ | 2007 | 1992 |
| Автор метода≠ | Gue, K. R. | Wallace, T. F. |
| Тип≠ | Warehouse operation strategy | Demand-supply planning framework |
| Основополагающий источник≠ | Apuzzio, M. (2008). Essentials of supply chain management. New Jersey: Pearson Education. link ↗ | Wallace, T. F. (1992). Sales & Operations Planning: The how-to handbook. Cincinnati: APICS Publications. link ↗ |
| Другие названия≠ | — | sales and operations planning, production planning |
| Связанные | 5 | 5 |
| Сводка≠ | Cross-docking is a logistics strategy in which products arriving at a distribution center from suppliers are unloaded, sorted, consolidated, and immediately reloaded onto outbound vehicles destined for customers, with minimal or no storage time. Rather than storing inventory in a warehouse, products flow through in 24–48 hours. Cross-docking reduces inventory holding costs, improves product freshness, and increases throughput of the distribution network. It is widely used in fast-moving consumer goods, parcel delivery, and retail supply chains. | 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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