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| Piiskaefekti× | Aggregate Planning× | |
|---|---|---|
| Tieteenala | Toimintojen johtaminen | Toimintojen johtaminen |
| Menetelmäperhe | Machine learning | Machine learning |
| Syntyvuosi≠ | 1961 | 1992 |
| Kehittäjä≠ | Jay Forrester | Wallace, T. F. |
| Tyyppi≠ | Phenomenon and analysis framework | Demand-supply planning framework |
| Alkuperäislähde≠ | Lee, H. L., Padmanabhan, V., & Whang, S. (1997). The bullwhip effect in supply chains. Sloan Management Review, 38(3), 93–102. link ↗ | Wallace, T. F. (1992). Sales & Operations Planning: The how-to handbook. Cincinnati: APICS Publications. link ↗ |
| Rinnakkaisnimet | demand amplification, Forrester effect | sales and operations planning, production planning |
| Liittyvät | 5 | 5 |
| Tiivistelmä≠ | 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. | 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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