Supply Network Design I and II

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.

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.