Identify two drivers of the bullwhip effect and a mitigation.

• A. Demand forecasting errors and order batching; mitigation includes sharing point-of-sale data and reducing order batch sizes.
• B. High supplier prices and frequent product substitutions; mitigation includes price hedging.
• C. Long lead times and high transportation costs; mitigation includes outsourcing.
• D. Seasonal demand and price promotions; mitigation includes increasing safety stock.

Answer: (A)

The bullwhip effect happens when small changes in consumer demand become amplified as they move up the supply chain. Two classic drivers are demand forecasting errors and order batching. When each stage updates its forecast based on incoming orders, tiny shifts in end-customer demand can be interpreted as trends, causing overreactions upstream. At the same time, ordering in large, infrequent batches to save on ordering or transportation costs creates spikes that suppliers see as sudden surges, further amplifying variability.

Mitigation that directly targets these dynamics includes sharing point-of-sale data and reducing order batch sizes. Point-of-sale data gives a clearer, real-time picture of actual consumer demand to all parties, helping align forecasts and dampen misinterpretation. Reducing order batch sizes smooths the flow of orders, lessening the amplification caused by large, sporadic orders.

Other options rely on less direct drivers or remedies. While long lead times or promotions can contribute to variability, the mitigations listed don’t address the core signaling problem as effectively as POS data sharing and smaller, more frequent orders.