Economic Planning


This model is an example of an economic planning problem that a country may face. This problem is an input–output model representing the interrelationships between the different sectors of a country’s economy. In such problems, the goal is to determine different possible growth patterns for the economy. The input-output model is formulated as a linear programming problem using the Gurobi Python API and solved with the Gurobi Optimizer.

This model is example 9 from the fifth edition of Model Building in Mathematical Programming by H. Paul Williams on pages 263-264 and 316-317.

This modeling example is at the intermediate level, where we assume that you know Python and are familiar with the Gurobi Python API. In addition, you should have some knowledge about building 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 Economic Planning Jupyter Notebook modeling example.


Economic Planning


Contact Us

We’re happy to assist you. Please contact us using this form, and a Gurobi representative will get back to you shortly.

  • Free Consultations
  • General Inquiries
  • Gurobi Optimizer Questions

Can’t view the form? Please email us at

Thank you! The information has been submitted successfully.