How can a mining company use mathematical optimization to identify which excavation locations to choose in order to maximize the gross margins of extracting ore? Try this modeling example to find out!
This model is example 14 from the fifth edition of Model Building in Mathematical Programming by H. Paul Williams on pages 269-270 and 324-325.
This example is at the intermediate level where we assume that you know Python and the Gurobi Python API and that you have some knowledge of building 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.
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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