Logistics - Jupyter Notebooks

  • Forecasting Methods: This notebook demonstrates the use of the statsmodel package, which includes a collection of practical statistical model implementations, including the Simple Exponential and Holt-Winters models. We also discuss the seasonal decomposition function provided by the same library.

  • Forecasting Methods: This notebook provides an implementation of an inventory system, implemented using Python’s SimPy library (you can also look at the n17_inventory_management_model.py file, which contains the implementation of the model). 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 encourage you to experiment with the model’s parameters to explore the dynamics present in inventory systems.

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