مقایسهٔ روشها
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| موجودی تحت مدیریت فروشنده× | برنامهریزی تجمیعی× | |
|---|---|---|
| حوزه | مدیریت عملیات | مدیریت عملیات |
| خانواده | Machine learning | Machine learning |
| سال پیدایش≠ | 2006 | 1992 |
| پدیدآور≠ | Disney, S. M., & Towill, D. R. | Wallace, T. F. |
| نوع≠ | Business and inventory model | Demand-supply planning framework |
| منبع بنیادین≠ | 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 ↗ |
| نامهای دیگر | VMI, supplier-managed inventory | sales and operations planning, production planning |
| مرتبط | 5 | 5 |
| خلاصه≠ | 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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