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Identification and simulation of risks in supply networks

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
Risk management: core competence?
Is risk management overlooked as an important source of competitive advantage? That is the question [...]
Logistics risks - the new science?
Can logistics become an academic discipline? And can logistics risk be my new academic discipline? A[...]
BOOKS and BOOK CHAPTERS
Book review: Supply Chain Risk Management
Edited by Robert B. Handfield, the book Supply Chain Risk Management: Minimizing Disruptions in Glob[...]
Book Review: Political Risk
Egypt is in crisis. After Tunisia, now Egypt is rocked by a popular uprising, and the outcome of the[...]
REPORTS and WHITEPAPERS
ISO 28002 – Supply Chain Resilience
Have you heard of ISO 28002?  No? You should take note of this standard, because the ISO 28000 serie[...]
Managing supply chain risk
In September and October 2009 the Economist Intelligence Unit surveyed 500 company executives with r[...]
from HERE and THERE
MITIP 2011 in Trondheim, Norway
This conference is a bit on the sideline for the topic of this blog, but since I have promoted it bo[...]
INSTR 2010 - Call for papers
I can't believe I haven't mentioned this conference on my blog before., because the call has been ou[...]