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Identification and simulation of risks in supply networks

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The graphical model uses a Bayesian Network to determine the accumulated probability of failure in supply networks. The Bayesian network captures common causal relations of risk events in a supply chain. It is not complete and is not constructed by a proper risk assessment of a special company.

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ARTICLES and PAPERS
Flexing your SCM muscles
A supply chain is never stronger than its weakest link, and that (having a weak link) is perhaps the[...]
SCRIM is the new SCRM
Does supply chain risk management SCRM need another model? Perhaps. That's what a group of academics[...]
BOOKS and BOOK CHAPTERS
Book Review: HBR on Supply Chain Management
Today we continue my exploration of the Harvard Business Review Paperback Series that I started yes[...]
The Nordic approach to Logistics and Supply Chain Management?
Is there such a thing as a typically Nordic way of thinking within the field of Supply Chain Managem[...]
REPORTS and WHITEPAPERS
Managing supply chain risk
In September and October 2009 the Economist Intelligence Unit surveyed 500 company executives with r[...]
Supply Chain and Transport Risk
In our interconnected world, safety, reliability and efficiency can only be secured through collabor[...]
from HERE and THERE
Sheffi's disruption profile
There is a figure in the book The Resilient Enterprise: Overcoming Vulnerability for Competitive Adv[...]
Fastest path problems in dynamic transportation networks
This research essay and literature review investigates some of the gateways to path finding in stati[...]