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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
Call for papers: Global Supply Chain Risk Management
Are you currently planning to write or actually writing a paper on supply chain risk and wondering w[...]
Flexing your SCM muscles
A supply chain is never stronger than its weakest link, and that (having a weak link) is perhaps the[...]
BOOKS and BOOK CHAPTERS
Book Review: Enterprise SCM
Have you ever played SimCity? I never liked Transport Tycoon that much, but I used to play SimCity a[...]
Book Review: Transportation Network Analysis
Transportation Network Analysis by M. G. H. Bell and Yasunori Iida is a book for the expert rather t[...]
REPORTS and WHITEPAPERS
Supply Chain and Transport Risk
In our interconnected world, safety, reliability and efficiency can only be secured through collabor[...]
America’s Crumbling Infrastructure
My daily morning routine includes a cup of coffee while watching the World Business Report on BBC Wo[...]
from HERE and THERE
Magnified Risk in Multi-Enterprise Supply Chains
industry week
Browsing other blogs on supply chain issues this morning, I came across yesterday's posting in The N[...]
Three steps to make your supply chain less vulnerable
Some time ago, Jeff Karrenbauer, CEO of Insight Inc., a top international provider of supply chain p[...]