Demand Amplification

Demand amplification is the tendency in a multistage process for production orders received by each upstream process to be more erratic than actual production or sales at the next downstream process. It is also called the Forrester Effect and the Bullwhip Effect. The entry describes causes such as decision points and delays, and notes that leveled pull systems with frequent withdrawals can minimize it.

Source checked2/2 values · 2026-10-25Metric

Specification

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Kind	metric
Origin	Jay Forrester, MIT, 1950s

Study notes

Also called the Forrester Effect and the Bullwhip Effect.
Named after Jay Forrester at MIT, who first characterized the phenomenon mathematically in the 1950s.
Two main causes as orders move upstream: the number of decision points where orders can be adjusted, and delays while orders wait to be processed and passed on.
Longer delays increase amplification because more production is determined by forecasts and more adjustments are made, such as system algorithms adding just-in-case amounts.
Example: variation in demand at the customer end of the value stream (Alpha) is about +/-3% during a month; orders sent by Gamma to its raw materials supplier vary by +/-35% during a month.
If demand amplification were completely eliminated, variation in orders at every point along the value stream would be +/-3%, reflecting true variation in customer demand.
Lean thinkers use leveled pull systems with frequent withdrawals for production and shipping instructions at each stage of the value stream to minimize demand amplification.
A demand amplification chart is used to raise consciousness about the degree of amplification present in a production system.