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| Aggregeret planlægning× | Leverandørstyret lager× | |
|---|---|---|
| Fagområde | Driftsledelse | Driftsledelse |
| Familie | Machine learning | Machine learning |
| Oprindelsesår≠ | 1992 | 2006 |
| Ophavsperson≠ | Wallace, T. F. | Disney, S. M., & Towill, D. R. |
| Type≠ | Demand-supply planning framework | Business and inventory model |
| Oprindelig kilde≠ | Wallace, T. F. (1992). Sales & Operations Planning: The how-to handbook. Cincinnati: APICS Publications. link ↗ | 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 ↗ |
| Aliasser | sales and operations planning, production planning | VMI, supplier-managed inventory |
| Relaterede | 5 | 5 |
| Resumé≠ | 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. | 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. |
| ScholarGateDatasæt ↗ |
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