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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
The world we live in: Risk Society
We live in a world that is full of risk, risks that we to a large degree have created ourselves, and[...]
The Catch 22 of Academic Publishing
"Publish or perish". You've heard the phrase, right? Well, apparently, getting published in the firs[...]
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[...]
The Resilient Organization
What does it mean to be a resilient organization? That is the topic of  The Resilient Organization, [...]
REPORTS and WHITEPAPERS
The supply chain of the future
Many global supply chains are not equipped to cope with the world we are entering. Most were enginee[...]
How New Zealand develops resilient organisations
Is New Zealand better prepared for a disaster than other countries? As our infrastructure and organi[...]
from HERE and THERE
Sparse transportation networks and disruptions
The vulnerability of the transportation network as part of the supply chain is of particular interes[...]
Robustness, flexibility and resilience
In a previous paper, back in 2004, I discussed the issue of Flexibility and robustness as options to[...]