The bullwhip effect is the progressive amplification of demand variability as order information moves upstream through a supply chain. A relatively stable pattern of final-customer demand can produce increasingly volatile retailer orders, distributor replenishment orders, manufacturer schedules, and supplier requirements.
Mickey is comparing the variability of two distinct signals: the orders received from his customers and the orders his organization subsequently places with suppliers. If the outgoing supplier orders are substantially more variable than the incoming customer orders, his company is amplifying the demand signal and therefore contributing to the bullwhip effect.
The comparison is valuable because bullwhip is fundamentally about changes in variability between successive stages. Causes include forecast updating, order batching, price promotions, shortage gaming, long replenishment lead times, and synchronized ordering. Managers can reduce amplification by sharing downstream demand information, shortening lead times, reducing batch sizes, stabilizing prices, and coordinating replenishment.
The analysis is not measuring market demand itself, because market demand is represented primarily by downstream consumption. Nor does it directly measure supply-chain surplus or merely forecast accuracy. It specifically evaluates whether the company's ordering practices magnify upstream variability.
Reference Topic: Demand Planning — Bullwhip Effect, Demand Variability, and Supply Chain Coordination.
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