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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
Supply chain risk management - a literature review
Is it possible to summarize  seven years of supply chain risk management research and find a common [...]
A new supply chain perspective: The supply chain life cycle
It is not often that I come across papers with a holistic view of the supply chain as a living and d[...]
BOOKS and BOOK CHAPTERS
The Resilient Organization
What does it mean to be a resilient organization? That is the topic of  The Resilient Organization, [...]
Book review: Handbook of Transportation Engineering
Comprehensive and all-encompassing, the Handbook of Transportation Engineering by Myer Kutz (editor)[...]
REPORTS and WHITEPAPERS
London Olympics and Business Continuity
Are UK businesses, and in particular London businesses, unprepared for the London Olympics in 2012? [...]
Critical Infrastructure and Resilience
What happens when a business is disabled for a length of time? What are the impacts on its profitabi[...]
from HERE and THERE
Volcanic Ash Cloud Day 5
Today is Day Five of the infamous Iceland volcanic ash cloud disruption. What just a week ago was a [...]
Another volcanic ash cloud crisis?
Rewind your thoughts one year: Iceland. Volcano eruption. Air travel. Then look at today's news. Are[...]