In the world of autologous cell therapy manufacturing, where a patient’s own cells are used to treat disease, there are very few conditions that remain constant. The manufacturing process is uniquely complex, time-sensitive, and evolving. In this presentation, we show how Simio is used at a CAR-T manufacturing site to quickly make sense of variable and uncertain inputs, while building toward an accurate and predictable model layer by layer. We use a combination of dashboard reports and Gantt views within Simio to automatically visualize and verify the behavior of the model, allowing us to experiment with inputs efficiently.

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