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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
Supply Risk Management: just common sense?
Am I missing something here? Does Supply Risk Management come down to plain and simple common sense?[...]
Risks in maritime supply chains
Globalization and international trade is heavily reliant on safe and open waterways. Sea transport c[...]
BOOKS and BOOK CHAPTERS
Resilience times four
Resilience. It is not so much about reducing the number of things that go wrong, but it is about imp[...]
Book Review: Reputation Risk
Reputation. Not only is it practically impossible to measure, its value is also frequently underesti[...]
REPORTS and WHITEPAPERS
Supply chain disruption risk on the rise
Global supply chains are increasingly becoming more vulnerable to potential disruption to trade, say[...]
28 Global Risks in 2015
The  World Economic Forum Global Risks Reports. I first came across them in 2008, when the hyperopti[...]
from HERE and THERE
Pålitelighet og sårbarhet av transportsystemer
Transportsystemer som veg og jernbane danner ryggraden i et moderne samfunn. Påliteligheten og sårba[...]
Research Blogging - for the investigative mind?
If you're a regular reader of this blog, you will notice that many posts reviewing  the literature n[...]