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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 redefined?
What is supply chain risk really? That is what Iris Heckmann, Tina Comes and Stefan Nickel try to an[...]
Global Supply Chain Risk Management
Finally it appears that someone has developed an easy, hands-on, not-so-academic and straightforward[...]
BOOKS and BOOK CHAPTERS
What are Logistics Clusters?
This is a guest post by Professor Yossi Sheffi, Director, MIT Center for Transportation & Logist[...]
Book Review: Managing Risk and Security
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REPORTS and WHITEPAPERS
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Global Risk Reports
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from HERE and THERE
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2010 - the year of catastrophe
It's Sunday and time for some weekend reflections, aka browsing the Internet for blogs and websites [...]