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
What goes into resilience?
 Resilience. That seems to be the buzzword these days. It seems to be making its way not only around[...]
Managing risk in global supply chains
The book Strategies for Building Successful Global Businesses, by the INSEAD-Wharton Alliance on Glo[...]
BOOKS and BOOK CHAPTERS
Book Review: Supply Chain Risk
This book, Supply Chain Risk, is from 2004 and edited by Clare Brindley of the Manchester Metropolit[...]
Business Continuity in Global Supply Chains
Business Continuity is a crucial ingredient of supply chain management. At the same time, implementi[...]
REPORTS and WHITEPAPERS
Stemming the rising tide
Are you are taking radically different actions than your peers when it comes to supply chain risk ma[...]
London Olympics and Business Continuity
Are UK businesses, and in particular London businesses, unprepared for the London Olympics in 2012? [...]
from HERE and THERE
MFworks Tutorial
MFworks has evolved from MAPFactory, originally designed by C. Dana Tomlin, the father of map alge[...]
INSTR 2010 - Call for papers
I can't believe I haven't mentioned this conference on my blog before., because the call has been ou[...]