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
Ménage à trois - the good, the bad and the ugly
No, it's not what you think it is, but I could not think of a more fitting title (to attract more re[...]
The flexibility of the logistics provider
Supply chain flexibility is a decisive factor in avoiding supply chain disruptions. One major contri[...]
BOOKS and BOOK CHAPTERS
SME Risk Management
Small and medium-sized enterprises (SMEs) make up the majority of enterprises in most countries, and[...]
Book review: GIS for Transportation
Having been a student with Harvey Miller at the University of Utah 2000-2002 probably makes my revie[...]
REPORTS and WHITEPAPERS
Are roads more important than computers?
Critical Infrastructure. Which is more important - or 'critical' - road networks or computers? What [...]
Critical Infrastructure and Resilience
What happens when a business is disabled for a length of time? What are the impacts on its profitabi[...]
from HERE and THERE
Finding academic articles without academic journals
As a researcher within supply chain risk, I try to read as many academic journals as possible, and I[...]
1st Supply Chain Risk Management Seminar
A colleague from the SCNI network sent me a note about this seminar that I was unaware of. The Suppl[...]