This project is a scheduling solution based on OR Tools. It is a simple example of how to use OR Tools to solve a scheduling problem. The use-case is similar to the job shop problem (JSP) and is as follows:
- there are locations which have to be serviced by a team of workers. Each location has a type and a duration
- there are workers who have different skills and can work on different types of locations
- between servicing a location there is a variable delay
- the schedule has to respect lunch breaks and the maximum working hours of the workers
- the objective function is to minimize the total time to service all locations.
📘 The book entitled "A book on open shop scheduling" by Wieslaw Kubiak provides a good introduction to the topic.
🐺 You can also find a simplified approach using Wolfram on Orbifold's Journal.
You can use a conda environment or a virtual environment to install the dependencies. Make sure you have Poetry installed.
poetry installIf you already have a venv present, you can use it with poetry:
python -m venv venv && source venv/bin/activate
poetry config virtualenvs.in-project true
poetry installYou can run the tests with the following command:
poetry run pytestThe tests are located in the tests folder and they also explain the use-case.
The Gantt-like viz based on Matplotlib is of interest on its own. That is, it's somewhat tricky to assemble it from scratch. There are very good packages out there doing a much better job but this one is easier to adapt.
MIT License
Copyright (c) Orbifold B.V.
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