pyjobshop 0.0.2b0

Solving shop scheduling problems with constraint programming.

[!NOTE] This package is under development. Expect things to break significantly in versions v0.0.*.

PyJobShop is a Python library for solving scheduling problems with constraint programming. It currently supports the following scheduling problems:

• Machine environments: single machine, parallel machines, hybrid flow shops, open shops, job shops, and flexible job shops.
• Constraints: release dates, deadlines, due dates, sequence-dependent setup times, no-wait, blocking, and precedence constraints.
• Objective functions: minimizing makespan, total completion time, number of tardy jobs, and total tardiness.

You can find PyJobShop on the Python Package Index under the name pyjobshop. To install it, simply run:

pip install pyjobshop

The documentation is available here.

[!TIP] If you are new to scheduling or constraint programming, you might benefit from first reading the introduction to scheduling and introduction to CP pages.

Constraint programming solvers

PyJobShop uses OR-Tools' CP-SAT solver as its default constraint programming solver. We also support CP Optimizer - see our documentation for instructions on how to install PyJobShop with CP Optimizer.

Examples

We provide example notebooks that show how PyJobShop may be used to solve scheduling problems.

• TODO

Contributing

We are very grateful for any contributions you are willing to make. Please have a look here to get started. If you aim to make a large change, it is helpful to discuss the change first in a new GitHub issue. Feel free to open one!

Getting help

Feel free to open an issue or a new discussion thread here on GitHub. Please do not e-mail us with questions, modelling issues, or code examples. Those are much easier to discuss via GitHub than over e-mail. When writing your issue or discussion, please follow the instructions here.