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
Resilience revisited
How many ways are there for defining vulnerability and criticality, really? Traditionally, risk matr[...]
Supply Chain Risk Management - A relationship approach
I couldĀ haveĀ just re-used the title on my post on risks in supply networks from a couple days ago an[...]
BOOKS and BOOK CHAPTERS
Book Review: Enterprise SCM
Have you ever played SimCity? I never liked Transport Tycoon that much, but I used to play SimCity a[...]
The Definition of Agility
Although getting close to 20 years old now, The Agile Virtual Enterprise: Cases, Metrics, Tools, wri[...]
REPORTS and WHITEPAPERS
A risky business? The top 10 challenges of offshoring
Organisations embarking on offshoring face multiple challenges; many of which can be extremely daunt[...]
Transport infrastructure resilience
Is it possible to devise a simple framework for assessing the resilience of the transport infrastruc[...]
from HERE and THERE
A Christmas To Remember
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This has truly been a year of continuous supply chain disruptions, and many businesses have felt th[...]
NOFOMA - The Nordic Logistics Research Network
The Nordic Logistics Research Network (NOFOMA) is a network of Nordic researchers within the field o[...]