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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 flexibility - a complete literature review?
Someone had to come up with this, it was just a matter of time, and it is no suprise that this artic[...]
Call for papers: S-D Logic and Supply Chain Risk
Is supply chain risk is now beginning to enter more and more areas of  supply chain thinking? It wou[...]
BOOKS and BOOK CHAPTERS
Business Continuity in Global Supply Chains
Business Continuity is a crucial ingredient of supply chain management. At the same time, implementi[...]
The Nordic approach to Logistics and Supply Chain Management?
Is there such a thing as a typically Nordic way of thinking within the field of Supply Chain Managem[...]
REPORTS and WHITEPAPERS
The Benefits of Investing in Supply Chain Security
With the memory of attacks by Somali pirates still fresh in mind, supply chain security has come to [...]
America’s Crumbling Infrastructure
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from HERE and THERE
Using social media in a crisis
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CSCMP Europe 2009 Conference
The phrase "Supply chains compete, not companies" was coined by Martin Christopher, and it is a fitt[...]