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
Corporate vulnerability
Göran Svensson is one of the leading key figures in supply chain vulnerability research and his conc[...]
Fragility and sustainability: emerging research areas?
Should short-term loss-minimization and short-term profit maximization really be the driving force b[...]
BOOKS and BOOK CHAPTERS
Risk and vulnerability in maritime supply chains
This week's focus are risks in the maritime supply chain. Today's article reflects on security in ma[...]
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 Resilience Index
The 2015 FM Global Resilience Index provides an annual ranking of 130 countries and territories acco[...]
Managing supply chain risk
In September and October 2009 the Economist Intelligence Unit surveyed 500 company executives with r[...]
from HERE and THERE
Time is precious
Swiss Railway Watch
Time.  A highly valued asset in much of supply chain management and logistics operations. Time matte[...]
Wintry disruptions...again
Winter has come early to Europe this year. Very early. While it is not unusual to have a prolonged c[...]