Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Кросс-докинг× | Модель SCOR× | |
|---|---|---|
| Область | Операционный менеджмент | Операционный менеджмент |
| Семейство | Machine learning | Machine learning |
| Год появления≠ | 2007 | 1996 |
| Автор метода≠ | Gue, K. R. | Pittiglio, Rabin, Todd & McGrath |
| Тип≠ | Warehouse operation strategy | Supply chain reference framework |
| Основополагающий источник≠ | Apuzzio, M. (2008). Essentials of supply chain management. New Jersey: Pearson Education. link ↗ | Stewart, G. (1997). Supply chain operations reference model: SCOR, logistics information management, Vol. 10 No. 5, pp. 62-74. link ↗ |
| Другие названия | — | — |
| 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. | 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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