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.

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Google Colab Link

For details on licensing or on running the notebooks, see the overview on Modeling Examples