Project data

Artificial or empirical, every dataset tells a story.

Project database

Learn how project data drives decisions and research

Over the years, the Operations Research & Scheduling (OR&S) group has created and collected extensive project data for both research and teaching purposes. The story behind the generation and use of these datasets is detailed in the book "A Quest for Projects with Scarce Resources: Seeking Schedule Intelligence Through Project Data Discovery". Below, you can find links to the relevant databases for exploration and experimentation.

Artificial projects

The following databases will be put available soon:

  • RCPLIB - The Resource-Constrained Project Scheduling Problem (RCPSP)

  • MSLIB - The Multi-Skilled Resource-Constrained Project Scheduling Problem (MSRCPSP)

  • The Resource-Constrained Project Scheduling Problem with Alternative Subgraphs (RCPSP-AS)

  • The Multi-Mode Resource-Constrained Project Scheduling Problem (MMRCPSP)

  • The Resource-Constrained Multi-Project Project Scheduling Problem (RCMPSP)

Empirical projects

  • DSLIB - The empirical database with real project data for scheduling, risk analysis and control

Note: For detailed information on these databases, please visit our university project data page.