Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Cantidad Económica de Pedido (EOQ)× | Análisis ABC: Clasificación de Inventario por Valor de Uso Anual× | |
|---|---|---|
| Campo | Investigación operativa | Investigación operativa |
| Familia≠ | Regression model | Process / pipeline |
| Año de origen≠ | 1913 | 1998 |
| Autor original≠ | Ford W. Harris | Pareto principle; Silver, Pyke & Peterson |
| Tipo≠ | Deterministic inventory optimization model | Inventory segmentation technique |
| Fuente seminal≠ | Harris, F. W. (1913/1990). How many parts to make at once. Operations Research, 38(6), 947–950 (reprint). DOI ↗ | Silver, E. A., Pyke, D. F., & Peterson, R. (1998). Inventory Management and Production Planning and Scheduling (3rd ed.). Wiley. ISBN: 978-0-471-11947-0 |
| Alias | Wilson EOQ Model, Harris-Wilson Model, Optimal Lot Size Model, Ekonomik Sipariş Miktarı | Pareto Inventory Classification, 80-20 Inventory Rule, ABC Classification, ABC Stok Analizi |
| Relacionados≠ | 3 | 2 |
| Resumen≠ | The Economic Order Quantity (EOQ) is a classic deterministic inventory model that identifies the order quantity minimizing the sum of annual ordering and holding costs. Introduced by Ford W. Harris in 1913 and later popularized by R. H. Wilson, EOQ assumes constant demand, fixed cost parameters, and instantaneous replenishment. It remains the foundational benchmark for inventory management in manufacturing, retail, and supply chain contexts where demand is relatively stable and costs are well-characterized. | ABC Analysis is a demand-value segmentation technique that divides inventory items into three classes — A, B, and C — based on their annual usage value (unit cost multiplied by annual demand). Rooted in the Pareto principle and codified for inventory management by Silver, Pyke, and Peterson (1998), it guides managers to concentrate control resources on the small fraction of items that drive the vast majority of total inventory spend. |
| ScholarGateConjunto de datos ↗ |
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