This repository is created to share Python scripts, Arena instances and event logs for reproducing experiment results reported in our paper:
- L. Zhu, G. Lugaresi and A. Matta. Automated Generation of Digital Models for Production Lines through State Reconstruction. Accepted by the 19th IEEE International Conference on Automation Science and Engineering.
The scripts have been tested with Python 3.9 and require the availability of pandas, networkx, pygraphviz, numpy and matplotlib. Apart from these Python libraries, you also need to install the latest version of Graphviz (make sure that Add Graphviz to the system PATH is selected in the case of Windows).
Once the runtime environment has been set up, you can try the examples by executing
python run_examples.py
The following command allows you to draw the results based on models that we generated:
python run_experiments.py
If you want to redo the experiments, uncomment from line 18 to 28 and then execute this command, which may take up to a few hours depending on the performance of the host.
All the code and data are released under the BSD 3-Clause and CC BY 4.0 licenses respectively.