Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| АВС-анализ: Классификация запасов по годовой стоимости потребления× | Модели страхового запаса и точки перезаказа× | |
|---|---|---|
| Область | Исследование операций | Исследование операций |
| Семейство≠ | Process / pipeline | Regression model |
| Год появления | 1998 | 1998 |
| Автор метода≠ | Pareto principle; Silver, Pyke & Peterson | Silver, Pyke & Peterson |
| Тип≠ | Inventory segmentation technique | Stochastic inventory control model |
| Основополагающий источник | 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 | 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 |
| Другие названия | Pareto Inventory Classification, 80-20 Inventory Rule, ABC Classification, ABC Stok Analizi | Buffer Stock, Reserve Stock, Reorder-Point Model, Emniyet Stoğu |
| Связанные≠ | 2 | 3 |
| Сводка≠ | 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. | Safety stock is an additional quantity of inventory held beyond expected demand during a replenishment lead time, designed to protect against stockouts caused by demand or supply uncertainty. Reorder-point models formalize this buffer by setting a trigger inventory level at which a new order is placed. Systematically developed within the stochastic inventory-control framework by Silver, Pyke, and Peterson (1998), the approach translates a desired customer-service level into a precise buffer quantity using the statistics of demand and lead-time variability. |
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