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 redefined?
What is supply chain risk really? That is what Iris Heckmann, Tina ComesĀ and Stefan Nickel try to an[...]
Risks in maritime supply chains
Globalization and international trade is heavily reliant on safe and open waterways. Sea transport c[...]
BOOKS and BOOK CHAPTERS
Supply Chain Nirvana
Is there something like a Supply Chain Nirvana, where it all comes together and where a firm's suppl[...]
Resilience times four
Resilience. It is not so much about reducing the number of things that go wrong, but it is about imp[...]
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[...]
A risky business? The top 10 challenges of offshoring
Organisations embarking on offshoring face multiple challenges; many of which can be extremely daunt[...]
from HERE and THERE
Does a blog have a supply chain?
I admit this does sound funny, but is it possible to say that a blog has a supply chain? And if that[...]
Global Risk and Compliance - Are you protected?
Trade Compliance and Export Control are not just buzzwords in global supply chain. They represent si[...]