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Identification and simulation of risks in supply networks

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
Pork Barrel spending?
Why is it that some infrastructure projects in sparsely populated regions of Norway receive more fun[...]
Certain death: Not risky. Uncertain death: risky.
If you know for sure that things will go wrong, there really is no risk. If you don't know for sure [...]
BOOKS and BOOK CHAPTERS
Book Review: Logistics and Supply Chain Management
This book by Martin Christopher, Logistics & Supply Chain Management, is one of the better if [...]
Book review: Cost-Benefit Analysis: Theory and Application
I really enjoyed reading Cost-Benefit Analysis: Theory and Application by Tefvik Nas.  I used this b[...]
REPORTS and WHITEPAPERS
Supply Chain Security
Today's supply chains circle the globe and form the backbone of world trade and a are major factor i[...]
Supply chain disruption risk on the rise
Global supply chains are increasingly becoming more vulnerable to potential disruption to trade, say[...]
from HERE and THERE
Global Risk and Compliance - Are you protected?
Trade Compliance and Export Control are not just buzzwords in global supply chain. They represent si[...]
Hard Drive Recovery and Business Continuity
Having access to the most up-to-date business information is vital to any business. That is why you [...]