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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
Perspectives on risk management in supply chains
Today's article is actually not an article on it's own, but an editorial to a special 2009 issue of [...]
Call for papers: Humanitarian Logistics
With resilience as one the main themes for this blog, from time to time I have written posts on disa[...]
BOOKS and BOOK CHAPTERS
Book Review: Heads in the sand
Finally, after 5 days of volcanic ash cloud posting, I can return to my regular topics of supply cha[...]
Book Review: Ethical Risk
This is - for the time being - the sixth and final review of the books in the Gower Short Guides to [...]
REPORTS and WHITEPAPERS
Risk management - Vocabulary
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Will Climate Change have an impact on transportation?
Many studies have already examined the potential impacts of climate change on broad sectors of the e[...]
from HERE and THERE
International Supply Chain Risk Management
The International Supply Chain Risk Management Network (ISCRiM) is a network of academics interested[...]
Bad locations = bad logistics?
How are companies located in sparse transport networks affected by supply chain disruptions? This ar[...]