Home › Posts tagged Bertrand Jan
Blog Archives

Identification and simulation of risks in supply networks

Posted on by

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.

Read more ›

Posted in THIS and THAT
Tags: , , ,
ARTICLES and PAPERS
Managing Disruption Risks in the Supply Chain - the DRISC model
It is not often that I find a PhD dissertation that is excellently written and a joy to read, keepin[...]
Supply Chain Risk redefined?
What is supply chain risk really? That is what Iris Heckmann, Tina Comes and Stefan Nickel try to an[...]
BOOKS and BOOK CHAPTERS
Book Review: The Resilient Enterprise
To me, this book by Yossi Sheffi was an eye-opener, not so much for it's academic value, but for it'[...]
Book Review: Single Point of Failure
Just out a few days ago, Single Point of Failure is a fascinating read. The author, Gary S. Lynch, i[...]
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[...]
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
International Transport Economics Conference 2009
If you haven't already done so, make sure to bookmark this conference in your calendar. The Internat[...]
Downgrades are upgrades
Time for episode three of "Suitemates", the big new marketing campaign by Kinaxis, a Canada-based su[...]