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| SCOR-Modell× | Material Requirements Planning× | |
|---|---|---|
| Fachgebiet | Produktions- und Betriebsmanagement | Produktions- und Betriebsmanagement |
| Familie | Machine learning | Machine learning |
| Entstehungsjahr≠ | 1996 | 1975 |
| Urheber≠ | Pittiglio, Rabin, Todd & McGrath | Joseph Orlicky |
| Typ≠ | Supply chain reference framework | Material planning algorithm |
| Wegweisende Quelle≠ | Stewart, G. (1997). Supply chain operations reference model: SCOR, logistics information management, Vol. 10 No. 5, pp. 62-74. link ↗ | Orlicky, J. (1975). Material requirements planning: The new way of life in production and inventory management. New York: McGraw-Hill. link ↗ |
| Aliasnamen≠ | — | MRP, MRP I |
| 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. | Material Requirements Planning (MRP) is a computerized system developed by Joseph Orlicky in the 1970s that calculates material requirements based on master production schedules and bill-of-materials data. MRP determines what materials to buy, how much to order, and when to order them to meet production demand while minimizing inventory carrying costs. It became a foundational technology for manufacturing planning and later evolved into manufacturing resource planning (MRP II) and enterprise resource planning (ERP) systems. |
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