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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
Mitigating supply chain disruptions
How could I have missed this paper? I was preparing my 2009-lecture on supply chain risk for tomorro[...]
Contingent flexibility
Can contingency planning increase flexibility and minimize risk exposure to supply chain disruptions[...]
BOOKS and BOOK CHAPTERS
Book review: Cost-Benefit Analysis
This book, Cost Benefit Analysis: Concepts and Practice (3rd Edition), by Anthony Boardman et al. is[...]
Resilience times four
Resilience. It is not so much about reducing the number of things that go wrong, but it is about imp[...]
REPORTS and WHITEPAPERS
Infrastructure - essential for competitiveness?
Regular readers of this blog may have noticed my regular rants about the state of the Norwegian infr[...]
ISO 28002 – Supply Chain Resilience
Have you heard of ISO 28002?  No? You should take note of this standard, because the ISO 28000 serie[...]
from HERE and THERE
The art of reviewing journal submissions
transportation science journal
The other day I received an email from the editorial board of Transportation Science, asking me to r[...]
4th SCRM Seminar Barcelona 2012
This is an event that should not be missed: The 4th supply chain risk managment seminar in Barcelona[...]