Everything posted by Rylan Carney
Simio’s neural network implementation allows the import and export of ONNX files, which ensure that Simio is compatible with many machine learning frameworks. This format is well-documented, and there are many third-party packages and applications that can help you convert machine learning models to/from ONNX, or to open and view ONNX files. The attached document provides a basic summary for several of these packages, including tensorflow-onnx, onnx2pytorch, and Netron. Please note that none of these packages are affiliated with Simio, so any issues or limitations of these packages can be discussed on the package’s GitHub page. ONNX Format Utilities.pdf
This post contains additional files associated with the paper "Agent-base modeling and simulation in Simio" by Thomas Kehl. The additional files include the original paper, an installer for the Simio Agent Library, the Simio Agent Library user extension, and further documentation. These files were created by Thomas Kehl and are not endorsed or supported by Simio LLC. Note also that these files were published with the paper in 2018 and might be out of date. 1585821475_SimioAgentBasedModeling-ThomasKehl.zip
Hello ttarken, A simplified approach might be use a Resource to constrain the system until the required operator is available. If the operator should move with the Crane, a good starting point might be to try seizing a Worker and requesting a move to the pickup Node. Then, you could try using a Move step to move the Worker from the pickup Node to the drop-off Node with the Crane. Please see below a link to a similar post discussing how to use two Cranes to move a single entity. The example model attached to the other post might provide guidance for your application.