Blog Archives

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
Transport Network Disruption
Today is my last day at work as Researcher at Møreforsking Molde. It is a sad day, because I am leav[...]
Infrastructure Vulnerability
This is a paper that has been collecting dust in my articles archive for quite a while, but it is in[...]
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[...]
Published. Not perished.
Publish or perish? Publish. It has taken its time, but finally it is there, the book that has my cha[...]
REPORTS and WHITEPAPERS
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[...]
Transport infrastructure resilience
Is it possible to devise a simple framework for assessing the resilience of the transport infrastruc[...]
from HERE and THERE
Using social media in a crisis
Scandinavian Airlines facebook
Sometimes the timing of Internet launches is just right. And for Scandinavian Airlines (SAS) the tim[...]
How the wrong people can ruin a supply chain
People are what makes organizations work, or in some cases, not work. Just as the "ordinary" supply [...]