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| 闭环供应链× | 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≠ | 2003 | 1992 |
| 提出者≠ | Guide, V. D. R., & Van Wassenhove, L. N. | Wallace, T. F. |
| 类型≠ | Supply chain strategy | Demand-supply planning framework |
| 开创性文献≠ | Guide, V. D. R., & Van Wassenhove, L. N. (2003). Business aspects of closed-loop supply chains. Pittsburgh: Carnegie Mellon University Press. link ↗ | Wallace, T. F. (1992). Sales & Operations Planning: The how-to handbook. Cincinnati: APICS Publications. link ↗ |
| 别名 | reverse logistics, circular economy logistics | sales and operations planning, production planning |
| 相关 | 5 | 5 |
| 摘要≠ | A closed-loop supply chain (CLSC) integrates forward logistics (moving products to customers) with reverse logistics (recovering products, components, or materials from customers) to optimize resource recovery, reduce waste, and minimize environmental impact. Products flow forward for customer use, then flow backward for remanufacturing, refurbishment, recycling, or proper disposal. CLSC is driven by regulatory compliance (e.g., take-back laws), cost recovery, environmental responsibility, and increasingly, customer demand for sustainable business practices. | 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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