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| 재고 경로 문제 (Inventory Routing Problem, IRP)× | SCOR 모델× | |
|---|---|---|
| 분야 | 운영관리 | 운영관리 |
| 계열 | Machine learning | Machine learning |
| 기원 연도≠ | 2014 | 1996 |
| 창시자≠ | Coelho, L. C., Cordeau, J. F., & Laporte, G. | Pittiglio, Rabin, Todd & McGrath |
| 유형≠ | Optimization problem | Supply chain reference framework |
| 원전≠ | Coelho, L. C., Cordeau, J. F., & Laporte, G. (2014). Thirty years of inventory routing. Transportation Research Part B: Methodological, 55, 28-67. DOI ↗ | Stewart, G. (1997). Supply chain operations reference model: SCOR, logistics information management, Vol. 10 No. 5, pp. 62-74. link ↗ |
| 별칭≠ | IRP, vendor-managed logistics | — |
| 관련 | 5 | 5 |
| 요약≠ | The Inventory Routing Problem (IRP) is an optimization problem that jointly determines inventory levels at customer locations, delivery routes, and shipment quantities to minimize total logistics and inventory holding costs. Rather than treating inventory management and vehicle routing as separate decisions, IRP recognizes that they are interdependent: larger shipments reduce routing costs but increase inventory holding costs, and vice versa. IRP is solved using mixed-integer programming, heuristics, and metaheuristics, and is a cornerstone of vendor-managed inventory (VMI) programs. | 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. |
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