A Python simulation model demonstrating the bullwhip effect in a multi-tier supply chain, where fluctuations in customer demand amplify up the chain, impacting costs and inventory levels
This model captures how decision-making delays, shipment release limits, and demand noise interact to intensify order variability and destabilize material planning. Stock balance, forecast updating, and replenishment equations enable realistic simulation of operational dynamics including capacity constraints, service failure, and backlog risks.
Retail Bullwhip Effect + CPFR simulation with Working Capital impact (Python)
Bullwhip effect simulator based on Hau Lee (Stanford) research — demand amplification across multi-echelon supply chains
Multi-tier supply chain bullwhip effect simulator
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