Workforce Scheduling Problem

This Jupyter Notebook describes a workforce scheduling optimization problem that is common in the services industry. The problem is formulated as a multi-objective mixed-integer-programming (MIP) model. The model is implemented using the Gurobi Python API and solved using the Gurobi Optimizer.

This modeling example is at the advanced level, where we assume that you know Python and the Gurobi Python API and that you have advanced knowledge of building mathematical optimization models. Typically, the objective function and/or constraints of these examples are complex or require advanced features of the Gurobi Python API.


Request a Gurobi Evaluation License or Free Academic License

Modeling examples are coded using the Gurobi Python API in Jupyter Notebook. In order to use the Jupyter Notebooks, you must have a Gurobi License. If you do not have a license, you can request an Evaluation License as a Commercial User or download a free license as an Academic User.


Commercial Users: Free Evaluation Version Academic Users: Free Academic Version



Access the Jupyter Notebook Modeling Example

Click on the button below to be directed to GitHub where you can download the repository for the Workforce Scheduling Jupyter Notebook modeling example.


Workforce Scheduling Problem