Session 9 - Supply Chain Risk and Resilience

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.

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Part 2 - Risk management frameworks #

This session presents the different risk management frameworks used to quantify and act upon different level of risks.

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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.

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Part 4 - Supply chain risk and resilience #

This session presents the different measurements of resilience and its dimensions.

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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