This notebook walks through the optimization problem of deciding which flights to operate and which flights to cancel after a weather disruption. We do this by constructing a mathematical optimization model that reduces the revenue lost from the cancelled flights. In this example, we are using real data in France compiled by Amadeus.
This modeling tutorial is at the introductory level, where we assume that you know Python and that you have a background on a discipline that uses quantitative methods.
You may find it helpful to refer to the documentation of the Gurobi Python API.
Click on the button below to access the example in Google Colab, which is a free, online Jupyter Notebook environment that allows you to write and execute Python code through your browser.
Check out the Colab Getting Started Guide for full details on how to use Colab Notebooks as well as create your own.
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