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
Flexing your SCM muscles
A supply chain is never stronger than its weakest link, and that (having a weak link) is perhaps the[...]
Corporate Social Responsibility
How far does corporate social responsibility go? While corporate social responsibility looks good on[...]
BOOKS and BOOK CHAPTERS
Low Cost Country Sourcing
Low-cost countries. A dream for some and a nightmare for other others. What are typical supply chain[...]
Book Review: Logistics Management and Strategy
Logistics Management and Strategy by Alan Harrison and Remko van Hoek does come at very hefty price,[...]
REPORTS and WHITEPAPERS
Vulnerable or valuable supply chain?
More than a year old now, but still holding not so few words of wisdom is the Pricewaterhouse Cooper[...]
Stemming the rising tide
Are you are taking radically different actions than your peers when it comes to supply chain risk ma[...]
from HERE and THERE
Hard Drive Recovery and Business Continuity
Having access to the most up-to-date business information is vital to any business. That is why you [...]
Save costs and the environment
Hitting two birds with one stone? Can you shrink manufacturing costs while at the same time operate [...]