jo-chr / i40lab-simulation

Simulation and generation of synthetic reliability-related data.

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I4.0 Laboratory Simulation

Simulation and generation of synthetic reliability-related data.

Production Line Layout and Production Sequence

production line

  1. Warehouse 1 prepares parts for one drone
  2. Mobile robot transports parts to assembly track
  3. Track transports parts to Cell 1
  4. Cell 1 executes assembly step
  5. Track transports parts to Cell 2
  6. Cell 2 executes assembly step
  7. Track transports assembled product to pickup point
  8. Mobile robot transports product to Warehouse 2

Setup

  1. Clone repository: git clone https://github.com/jo-chr/i40lab-simulation.git
  2. Install requirements: pip install -r requirements.txt
  3. Run python3 main.py

Custom Configuration

Use config.ini to configure the simulation.

Usage & Attribution

If you are using the tool for a scientific project please consider citing our publication:

# Plain
J. Friederich, S. C. Jepsen, S. Lazarova-Molnar and T. Worm, 
"Requirements for Data-Driven Reliability Modeling and Simulation of Smart Manufacturing Systems,"
2021 Winter Simulation Conference (WSC), 2021, pp. 1-12, doi: 10.1109/WSC52266.2021.9715410.

# BibTeX
@inproceedings{friederich_requirements_2021,
    author={Friederich, Jonas and Jepsen, Sune Chung and Lazarova-Molnar, Sanja and Worm, Torben}, 
    booktitle={2021 Winter Simulation Conference (WSC)},
    title={Requirements for Data-Driven Reliability Modeling and Simulation of Smart Manufacturing Systems},
    year={2021},  
    pages={1-12},
    doi={10.1109/WSC52266.2021.9715410}
}

About

Simulation and generation of synthetic reliability-related data.

License:GNU General Public License v3.0


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Language:Python 100.0%