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
Are supply and demand elasticity a risk?
Why haven't I seen this paper before? And why is it not cited more often? It should. It is called Th[...]
Seconds From Disaster
Accidents don't just happen. They are a chain of critical events leading up to the disaster. Everyon[...]
BOOKS and BOOK CHAPTERS
The Handbook of Business Continuity Management
As I said in my post yesterday, Supply Chain Risk Management (SCRM) has many similarities with Busin[...]
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
How New Zealand develops resilient organisations
Is New Zealand better prepared for a disaster than other countries? As our infrastructure and organi[...]
Supply Chain Security
Today's supply chains circle the globe and form the backbone of world trade and a are major factor i[...]
from HERE and THERE
NOFOMA - The Nordic Logistics Research Network
The Nordic Logistics Research Network (NOFOMA) is a network of Nordic researchers within the field o[...]
MITIP 2010 – Call for Papers
For several years, when it comes to ICT-driven innovation and production, the MITIP conferences have[...]