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
Finding the right location - minimizing disruption costs
Classical facility location models assume that once optimally located and set up, facilities will op[...]
An empirical investigation into supply chain vulnerability
Today's journal article is from Germany. In An empirical investigation into supply chain vulnerabili[...]
BOOKS and BOOK CHAPTERS
Book Review: Managing Risk and Security
One of my readers suggested this book to me via  a comment on my supply chain literature list pages[...]
Book review: Cost-Benefit Analysis
This book, Cost Benefit Analysis: Concepts and Practice (3rd Edition), by Anthony Boardman et al. is[...]
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[...]
Transport infrastructure resilience
Is it possible to devise a simple framework for assessing the resilience of the transport infrastruc[...]
from HERE and THERE
Resilience Lessons from the Haiti Earthquake
The recent earthquake in Haiti is a poignant reminder of how vulnerable a country is when it is faci[...]
Cutting costs or cutting risks?
One of the blogs I like to browse from time to time, particularly when looking for topics related to[...]