Inventory Policy Optimization in AnyLogic: Simulating (s, S) and (r, Q) Replenishment Strategies
AnyLogic's multi-method simulation environment enables supply chain engineers to rigorously compare and tune (s, S) and (r, Q) inventory replenishment policies using stochastic demand models and built-in optimization. This article walks through model construction, experiment design, and result interpretation to help practitioners move beyond static EOQ formulas toward data-driven inventory decisions.