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| Lieferantengesteuerter Bestand× | Bullwhip-Effekt× | |
|---|---|---|
| Fachgebiet | Produktions- und Betriebsmanagement | Produktions- und Betriebsmanagement |
| Familie | Machine learning | Machine learning |
| Entstehungsjahr≠ | 2006 | 1961 |
| Urheber≠ | Disney, S. M., & Towill, D. R. | Jay Forrester |
| Typ≠ | Business and inventory model | Phenomenon and analysis framework |
| Wegweisende Quelle≠ | 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 ↗ | Lee, H. L., Padmanabhan, V., & Whang, S. (1997). The bullwhip effect in supply chains. Sloan Management Review, 38(3), 93–102. link ↗ |
| Aliasnamen | VMI, supplier-managed inventory | demand amplification, Forrester effect |
| Verwandt | 5 | 5 |
| Zusammenfassung≠ | 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. | The Bullwhip Effect is a phenomenon in supply chain management where small fluctuations in end-customer demand cause progressively larger fluctuations in orders as one moves upstream from retail to distributors to manufacturers to suppliers. First formally documented by Jay Forrester in his 1961 system dynamics work, and later popularized by Lee, Padmanabhan, and Whang in 1997, the effect reveals how information delays and ordering strategies amplify demand variability throughout supply chains, leading to excess inventory, inefficient production scheduling, and increased costs. |
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