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.


Access the Jupyter Notebook Modeling Example

Click on the link 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.

COVID-19 Healthcare Facility Capacity Optimization

How to Run the Jupyter Notebook Modeling Example

-To run the example the first time, choose “Runtime” and then click “Run all”.

-All the cells in the Jupyter Notebook will be executed.

-The example will install the gurobipy package, which includes a limited Gurobi license that allows you to solve small models.

-You can also modify and re-run individual cells.

-For subsequent runs, choose “Runtime” and click “on “Restart and run all”.

-The Gurobi Optimizer will find the optimal solution of the modeling example.

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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