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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
Corporate vulnerability
Göran Svensson is one of the leading key figures in supply chain vulnerability research and his conc[...]
Control or laissez-faire?
Maintaining a company's competitive advantage depends on managing and controlling a global supply ch[...]
BOOKS and BOOK CHAPTERS
Book Review: HBR on Supply Chain Management
Today we continue my exploration of the Harvard Business Review Paperback Series that I started yes[...]
Book Review: Ethical Risk
This is - for the time being - the sixth and final review of the books in the Gower Short Guides to [...]
REPORTS and WHITEPAPERS
Global Risks 2012
Are economic imbalances and social inequality risk reversing the gains of globalization? Should we s[...]
Highway Vulnerability and Criticality Assessment
Transportation vulnerability and resilience have been the focus of this blog for the past two days, [...]
from HERE and THERE
Extreme Weather Hazards and Transportation Vulnerability
Weather Extremes: Assessment of Impacts on Transport Systems and Hazards for European Regions. That [...]
Transportation reliability and vulnerability
This is a philosophical essay on transportation vulnerability, where three fields or subjects are br[...]