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Identification and simulation of risks in supply networks

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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
3PL - a risk orchestrator?
Historically, third-party logistics providers, or 3PLs, provided traditional logistics services, suc[...]
Structural embeddedness and the extended supply chain
The other day, while reviewing a chapter for inclusion (or not) in the upcoming book Managing Risk i[...]
BOOKS and BOOK CHAPTERS
Book review: Cost-Benefit Analysis: Theory and Application
I really enjoyed reading Cost-Benefit Analysis: Theory and Application by Tefvik Nas.  I used this b[...]
Book Review: Supply Chain Risk
This book, Supply Chain Risk, is from 2004 and edited by Clare Brindley of the Manchester Metropolit[...]
REPORTS and WHITEPAPERS
Supply Chain Security
Today's supply chains circle the globe and form the backbone of world trade and a are major factor i[...]
28 Global Risks in 2015
The  World Economic Forum Global Risks Reports. I first came across them in 2008, when the hyperopti[...]
from HERE and THERE
How to use IDRISI GIS
Decision making is the process that leads to a choice between a set of alternatives. Geographical de[...]
Less cost and less disruptions?
One of the regular readers of my blog alerted me to an article in the NY Times titled Slow Trip Acro[...]