Blog Archives

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 chain vulnerability and resilience
Today's post is a review of a conference paper written by Francesco Longo and Tuncer Ören in 2008 an[...]
Robust, Rapid, Resilient
The resilience of infrastructure systems can be measured by two dimensions: robustness, the extent o[...]
BOOKS and BOOK CHAPTERS
Appetite versus Attitude
Finally, and long overdue, another review in the Gower Short Guide to Business Risk book series. Thi[...]
Book Review: Logistics and Supply Chain Management
This book by Martin Christopher, Logistics & Supply Chain Management, is one of the better if [...]
REPORTS and WHITEPAPERS
Supply Chain Security
Today's supply chains circle the globe and form the backbone of world trade and a are major factor i[...]
Risky cities - want to work there?
If you are doing global business, do you know where you are at risk and what risk that is most perti[...]
from HERE and THERE
Supply Chain Risk Management 2008
Supply Chain Risk Management 2008, 3rd & 4th November 2008, World Trade Centre, the Netherlands[...]
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[...]