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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
How to secure your supply chain - 3/7
Today's post is part three of my continuing journey through the Swedish handbook titled "Säkra föret[...]
What kind of Supplychainist are you?
With an ever-increasing number of companies outsourcing all non-core activities and  manufacturing t[...]
BOOKS and BOOK CHAPTERS
Security and continuity of supply
Aah...the intricacies of the English language. Not supply (chain) security, but the security of supp[...]
Book review: Networks and Algorithms
If you are into network analysis of any kind, this book teaches you the basics. As the name implies,[...]
REPORTS and WHITEPAPERS
Calculating the Value-at-Risk
Some of you may remember that I posted about the SCOR Framework for Supply Chain Risk Management ear[...]
Critical Infrastructure and Resilience
What happens when a business is disabled for a length of time? What are the impacts on its profitabi[...]
from HERE and THERE
Supply Chain Risk - Business Continuity Management
Supply Chain Risk Management (SCRM) has many similarities with Business Continuity Management (BCM).[...]
Why we need to think the unthinkable
Immediately after September 11, 2001, "critical infrastructure" and "vulnerability" seemed to be the[...]