Case Study: Sterling Simulation achieves a flexible pharmaceutical supply chain model with AnyLogic

Pharmaceutical Supply Chain Simulation with AnyLogic

Sterling Simulation helped a pharmaceutical company that was expanding a product into new markets and needed a flexible way to model its supply chain under demand uncertainty. Using AnyLogic, the client wanted to reduce lead times while maintaining fill rates and avoiding backorders or lost sales, but their existing discrete-event model was too rigid to adapt to changing conditions.

Sterling Simulation and AnyLogic implemented a hybrid supply chain model that combined agent-based and discrete-event simulation, making it easy to configure and run “what if” scenarios. The model improved visibility into production, shipping, and inventory decisions, helped validate the logic on another supply chain with available data, and supported the client’s goals of better demand satisfaction and lower financial and operational risk. AnyLogic also significantly reduced model-building time, and the company later considered moving the model to anyLogistix for deeper supply chain analysis.

Sterling Simulation

Scott Hebert

Vice President