The Python scripted step represents a significant advancement in simulation modeling, allowing users to embed custom Python logic directly into their Simio processes. Jeff Smith, who leads Simio’s Training and Academic Programs, guides participants through this revolutionary feature that bridges Simio’s proven simulation capabilities with Python’s powerful computational tools. The session includes multiple working examples, from intelligent server selection based on queue analysis to dynamic resource allocation systems that respond to real-time operational conditions.
This technical deep dive targets simulation developers who want to leverage Python’s analytical capabilities within their models. Participants will master property readers, execution context management, and state manipulation techniques while learning to integrate external Python packages and implement professional debugging workflows. The session provides access to eight detailed example models through Simio’s GitHub repository, ensuring attendees have practical resources for implementing advanced custom solutions.