Logistics - Jupyter Notebooks


Notebook 4.1 - Forecasting Methods

This notebook demonstrates the use of the statsmodel package, which includes a collection of useful statistical model implementations, including the Simple Exponential and Holt-Winters models. We also include a demonstration of the seasonal decomposition function provided by the same library.

Notebook 4.2 - Inventory Management

This notebook provides an implementation of an inventory system, implemented using Python’s SimPy library (you can also have a look at the model.py file, which contains the actual implementation of the processes in the inventory system). This particular example goes beyond the remit of this course, but we include it as a demonstration of what is possible to achieve with the right set of Python libraries.

We do encourage you to experiment with the parameters of the model to explore the dynamics that are present in inventory systems.

Download all notebooks

Next