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| SCOR-Modell× | Kanban× | |
|---|---|---|
| Fachgebiet | Produktions- und Betriebsmanagement | Produktions- und Betriebsmanagement |
| Familie | Machine learning | Machine learning |
| Entstehungsjahr≠ | 1996 | 1950 |
| Urheber≠ | Pittiglio, Rabin, Todd & McGrath | Taiichi Ohno |
| Typ≠ | Supply chain reference framework | Production control system |
| Wegweisende Quelle≠ | Stewart, G. (1997). Supply chain operations reference model: SCOR, logistics information management, Vol. 10 No. 5, pp. 62-74. link ↗ | Ohno, T. (1988). Toyota production system: Beyond large-scale production. Cambridge, MA: Productivity Press. link ↗ |
| Aliasnamen≠ | — | visual management, pull system |
| Verwandt | 5 | 5 |
| Zusammenfassung≠ | 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. | 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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