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
Supply Chain Risk Management - as seen from Space
Is it possible to reconcile supply chain vulnerability, risk and supply chain management with corpor[...]
Black Swan Events
Black Swan events - should we even bother? The October issue of the Harvard Business Review had a sp[...]
BOOKS and BOOK CHAPTERS
Book review: Cost-Benefit Analysis
This book, Cost Benefit Analysis: Concepts and Practice (3rd Edition), by Anthony Boardman et al. is[...]
Book Review: The Full Costs and Benefits of Transportation
This book, The Full Costs and Benefits of Transportation: Contributions to Theory, Method and Measur[...]
REPORTS and WHITEPAPERS
America’s Crumbling Infrastructure
My daily morning routine includes a cup of coffee while watching the World Business Report on BBC Wo[...]
London Olympics and Business Continuity
Are UK businesses, and in particular London businesses, unprepared for the London Olympics in 2012? [...]
from HERE and THERE
Finding academic articles without academic journals
As a researcher within supply chain risk, I try to read as many academic journals as possible, and I[...]
Migrants and European supply chains
Truckers caught up in Europe's migrant crisis say business is increasingly disrupted by queues and s[...]