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.
Offline supply chain risk analyzer — drop Excel/CSV, get bullwhip detection, risk scoring & action recommendations. No cloud, fully local.
Retail Bullwhip Effect + CPFR simulation with Working Capital impact (Python)
The SCbullwhip is a shiny app that has as main goal the illustration and exploration of the bullwhip effect
Bullwhip effect simulator based on Hau Lee (Stanford) research — demand amplification across multi-echelon supply chains
Case-study analysis of Grill Rite's multi-warehouse inventory coordination. Applies (Q,R) policy design, risk pooling, bullwhip effect theory, and seasonal demand profiling with quantitative cost-benefit estimation.
Multi-tier supply chain bullwhip effect simulator
Four LangGraph agents run a supply chain blind to real demand — reproducing the bullwhip effect at 3,348× amplification, gone at 1.0× with shared visibility.
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