方法对比
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| 物料需求计划× | 综合计划× | |
|---|---|---|
| 领域 | 运营管理 | 运营管理 |
| 方法族 | Machine learning | Machine learning |
| 起源年份≠ | 1975 | 1992 |
| 提出者≠ | Joseph Orlicky | Wallace, T. F. |
| 类型≠ | Material planning algorithm | Demand-supply planning framework |
| 开创性文献≠ | Orlicky, J. (1975). Material requirements planning: The new way of life in production and inventory management. New York: McGraw-Hill. link ↗ | Wallace, T. F. (1992). Sales & Operations Planning: The how-to handbook. Cincinnati: APICS Publications. link ↗ |
| 别名 | MRP, MRP I | sales and operations planning, production planning |
| 相关 | 5 | 5 |
| 摘要≠ | Material Requirements Planning (MRP) is a computerized system developed by Joseph Orlicky in the 1970s that calculates material requirements based on master production schedules and bill-of-materials data. MRP determines what materials to buy, how much to order, and when to order them to meet production demand while minimizing inventory carrying costs. It became a foundational technology for manufacturing planning and later evolved into manufacturing resource planning (MRP II) and enterprise resource planning (ERP) systems. | 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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