COVID-19: Healthcare Facility Capacity Optimization

COVID19 Facility Capacity Optimization

This COVID-19 Healthcare Facility Capacity Optimization problem shows you how to determine the optimal location and capacity of healthcare facilities in order to:

  • Satisfy demand from COVID-19 patients for treatment,
  • Minimize the cost of opening temporary facilities for healthcare providers, and
  • Predict the allocation of COVID-19 patients from a specific county to a specific healthcare facility.

This modeling example is at the beginner level, where we assume that you know Python and that you have some knowledge of how to build mathematical optimization models.

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 COVID-19 Healthcare Facility Capacity Optimization Jupyter Notebook modeling example.


COVID-19 Healthcare Facility Capacity Optimization


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