Agricultural Pricing


This problem is an example of an agricultural pricing problem, where we want to determine the prices and demand for the dairy products of a country in order to maximize total revenue derived from the sales of those products. This problem is formulated as a quadratic optimization problem using the Gurobi Python API and solved with the Gurobi Optimizer.

This model is example 21 from the fifth edition of Model Building in Mathematical Programming, by H. Paul Williams on pages 276-278 and 333-335.

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 Agricultural Pricing Jupyter Notebook modeling example.


Agricultural Pricing


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