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
Humanitarian aid is better when decentralized
Humanitarian operations rely heavily on logistics in uncertain, risky, and urgent contexts, making t[...]
Mitigating supply chain disruptions
How could I have missed this paper? I was preparing my 2009-lecture on supply chain risk for tomorro[...]
BOOKS and BOOK CHAPTERS
Book Review: How Nature Works
How Nature works is a fascinating book. I first heard of the late Per Bak and his sandpile theories [...]
Book review: Handbook of Transportation Engineering
Comprehensive and all-encompassing, the Handbook of Transportation Engineering by Myer Kutz (editor)[...]
REPORTS and WHITEPAPERS
Transport infrastructure resilience
Is it possible to devise a simple framework for assessing the resilience of the transport infrastruc[...]
Managing supply chain risk
In September and October 2009 the Economist Intelligence Unit surveyed 500 company executives with r[...]
from HERE and THERE
Trade compliance risks
Although "German" traffic from countries like Germany, Austria and Switzerland make up less than 10[...]
Global Risk and Compliance - Are you protected?
Trade Compliance and Export Control are not just buzzwords in global supply chain. They represent si[...]