Supply Network Design I and II

This supply network design problem determines how to satisfy customer demand while minimizing shipping costs, given a set of factories, depots, and customers.

Supply Network Design I

Try this Jupyter Notebook Modeling Example to learn how to solve a classic supply network design problem that involves finding the minimum cost flow through a network. We’ll show you how – given a set of factories, depots, and customers – you can use mathematical optimization to determine the best way to satisfy customer demand while minimizing shipping costs.

This model is example 19 from the fifth edition of Model Building in Mathematical Programming by H. Paul Williams on pages 273-275 and 330-332.

This modeling example is at the beginner level, where we assume that you know Python and that you have some knowledge about building mathematical optimization models.


Access the Jupyter Notebook Modeling Example

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. 

 

Supply Network Design I

 


 

Supply Network Design II

Take your supply chain network design skills to the next level in this example. We’ll show you how – given a set of factories, depots, and customers – you can use mathematical optimization to determine which depots to open or close in order to minimize overall costs.

This model is example 20 from the fifth edition of Model Building in Mathematical Programming by H. Paul Williams on pages 275-276 and 332-333

This modeling example is at the beginner level, where we assume that you know Python and that you have some knowledge about building mathematical optimization models.

 

Access the Jupyter Notebook Modeling Example

Click on the button below to access the examples in Google Colab, which is a free, online Jupyter Notebook environment that allows you to write and execute Python code through your browser. 

 

Supply Network Design II

 


How to Run the Examples

-To run the examples 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 “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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