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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
Supply chain risk - in your head?
The risk perception an individual supply chain professional has influences the risk management strat[...]
When your supplier goes bust...
...what do you do? Is so-called supplier default something you have even thought about? And what if [...]
BOOKS and BOOK CHAPTERS
Published. Not perished.
Publish or perish? Publish. It has taken its time, but finally it is there, the book that has my cha[...]
Book Review: HBR on Crisis Management
Close calls and near misses are not unusual in the business world, but how do companies deal with th[...]
REPORTS and WHITEPAPERS
Analysing road vulnerability in Norway
How does the Norwegian Public Roads Administration NRPA assess the vulnerability of the Norwegian ro[...]
Global Risks 2009 - Countries at risk?
How will the current financial downturn affect supply chains? That's what we all wonder about, isn't[...]
from HERE and THERE
Airports - vital to supply chains?
Is the temporary shut-down of Bangkok's two international airports important in a supply chain persp[...]
INSTR 2012 - Call for papers
This is a conference that you shouldn't miss if transport reliability and vulnerability is what inte[...]