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| Quản lý Tồn kho bởi Nhà Cung cấp× | Lập kế hoạch tổng hợp× | |
|---|---|---|
| Lĩnh vực | Quản trị vận hành | Quản trị vận hành |
| Họ | Machine learning | Machine learning |
| Năm ra đời≠ | 2006 | 1992 |
| Người khởi xướng≠ | Disney, S. M., & Towill, D. R. | Wallace, T. F. |
| Loại≠ | Business and inventory model | Demand-supply planning framework |
| Công trình gốc≠ | Disney, S. M., & Towill, D. R. (2006). Vendor-managed inventory: A taxonomy of approaches and implications. International Journal of Production Economics, 106(2), 440-456. link ↗ | Wallace, T. F. (1992). Sales & Operations Planning: The how-to handbook. Cincinnati: APICS Publications. link ↗ |
| Tên gọi khác | VMI, supplier-managed inventory | sales and operations planning, production planning |
| Liên quan | 5 | 5 |
| Tóm tắt≠ | Vendor-Managed Inventory (VMI) is a supply chain arrangement in which the supplier (vendor) has visibility into the customer's inventory levels and assumes responsibility for replenishing inventory to pre-agreed levels. Rather than customers placing orders based on internal forecasts, the supplier monitors actual consumption and triggers replenishment shipments automatically. VMI reduces administrative burden, minimizes stock-outs, improves cash flow (by reducing inventory in the supply chain), and fosters collaboration between supplier and customer. | 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. |
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