Case Study: Princeton Consultants achieves faster, more reliable biotech manufacturing planning with AnyLogic

Challenges in Simulating a Small-Batch Biotech Manufacturing Process

A biotech startup developing personalized medical treatments faced major uncertainty in its pharmaceutical manufacturing process while FDA approval was pending, and it needed a way to test future production scenarios, identify bottlenecks, and deliver treatments quickly with limited resources. The company turned to Princeton Consultants and AnyLogic pharmaceutical manufacturing simulation to model a process that was still evolving during clinical trials.

Princeton Consultants used AnyLogic to build a flexible simulation combining agent-based and discrete-event modeling, then tested scenarios to optimize buffers, scheduling, and resource use. The solution saved months of development time, helped fine-tune failure-prone process areas, and produced a more reliable planning algorithm, while also defining scheduling policies that minimized overtime and improved how many orders could be processed within a given timeframe.

Princeton Consultants

Patricia Randall

Princeton Consultants