Session 9 - Supply Chain Risk and Resilience #
Dr Nils Goldbeck
The increasing size and complexity of supply chains make them subject to a diverse type of disturbances. For this reason, supply chains must be designed to cope with unexpected risks.
In this session, we study the types of disruptions that a supply chain may encounter and introduce the concept of resilience. Then, we discuss the risk management framework and how to carry out quantitative risk analysis.
Part 1 - Introduction and Types of Supply Chain Risk #
This session serves as an introduction to the concept of risk and an overview types of risk supply chains are subjected to.
Part 2 - Risk management frameworks #
This session presents the different risk management frameworks used to quantify and act upon different level of risks.
Part 3 - Quantitative risk analysis and Bayesian network modelling #
This session discusses quantitative risk analysis, including its objectives and the different approaches that can be carried out, with particular focus to Bayes' theorem.
Part 4 - Supply chain risk and resilience #
This session presents the different measurements of resilience and its dimensions.
Jupyter Notebooks #
This week’s notebook focuses on the use of Bayesian theory to improve supply chain resilience. It includes a requirements.txt file with all the necessary packages to implement. Once decompressed, simply execute the command pip install -r requirements.txt and all dependencies of the notebook should be installed.
The notebook files can be downloaded here