If you’re hungry for a mathematical optimization challenge, then try this food manufacturing problem. You’ll learn how to create an optimal multi-period production plan for a product that requires a number of ingredients – each of which has different costs, restrictions, and features.
More information on this type of model can be found in example #1 of the fifth edition of Modeling Building in Mathematical Programming by H. P. Williams on pages 253 – 254 and 296 – 298.
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.
In this example, you’ll have to tackle the same problem that you did in “Food Manufacturing I,” but with additional constraints that change the problem type from a linear program (LP) problem to a mixed-integer program (MIP) problem, making it harder to solve.
More information on this type of model can be found in example #2 of the fifth edition of Modeling Building in Mathematical Programming by H. P. Williams on pages 255 and 299 – 300.
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.
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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