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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
Fragility and sustainability: emerging research areas?
Should short-term loss-minimization and short-term profit maximization really be the driving force b[...]
Risk in supply networks - seeing it all, or not?
It is practically impossible to write a paper on supply chain risk without citing Risk in supply net[...]
BOOKS and BOOK CHAPTERS
Book Review: How Nature Works
How Nature works is a fascinating book. I first heard of the late Per Bak and his sandpile theories [...]
Is Dynamic Supply Chain Alignment the way of the future?
Dynamic Supply Chain Alignment. That is the magic formula that runs like a red thread through John G[...]
REPORTS and WHITEPAPERS
Saving Norway's crumbling infrastructure
NTP 2010-2019
Following up my post this morning called "D-Day for Norway's Transport Infrastructure", the numbers [...]
Supply Chain and Transport Risk
In our interconnected world, safety, reliability and efficiency can only be secured through collabor[...]
from HERE and THERE
What are you afraid of?
What do businesses in Scandinavia fear the most? That is what Nordic insurance giant If Insurance de[...]
7 out of 10 businesses without a continuity plan
An article today in the paper issue of Dagens Næringsliv, the Norwegian equivalent of the Financial [...]