Scheduling Problem Modeling Library

Welcome to the Scheduling Problem Modeling Library!
This library aims to provide modeling and solving techniques for various scheduling problems, covering both Mixed Integer Programming (MIP) and Constraint Programming (CP) formulations.

Dependencies

• Python (>= 3.9)
• Docplex

Paper References

Naderi, B., Ruiz, R., & Roshanaei, V. (2023). Mixed-Integer Programming vs. Constraint Programming for Shop Scheduling Problems: New Results and Outlook. INFORMS Journal on Computing.

(Link)

Contact

[email protected]