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
Community resilience in times of disaster
Can public-private partnerships improve community resilience? This question is posed in Leveraging p[...]
Risk and Supply Chain Management - A Research Agenda
After a long break from reviewing actual supply chain risk literature, today I would like to return [...]
BOOKS and BOOK CHAPTERS
Business Continuity in Global Supply Chains
Business Continuity is a crucial ingredient of supply chain management. At the same time, implementi[...]
Book Review: Security Risk Management - Body of Knowledge
A Wiley book rarely lets you down, and this one doesn't either. With a refreshing Australian touch, [...]
REPORTS and WHITEPAPERS
America’s Crumbling Infrastructure
My daily morning routine includes a cup of coffee while watching the World Business Report on BBC Wo[...]
Global Risks 2009 - Countries at risk?
How will the current financial downturn affect supply chains? That's what we all wonder about, isn't[...]
from HERE and THERE
Overcoming locational disadvantage
Following up my previous post, Sparse transportation networks - a recipe for supply chain disruption[...]
SAAB no more...
What do you when your major customer goes bust? How do you cope with finding a new business partner?[...]