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
Fragility and sustainability: emerging research areas?
Should short-term loss-minimization and short-term profit maximization really be the driving force b[...]
Building a secure and resilient supply chain
Are you gambling with your supply network? You should be aware that the supply network is inherently[...]
BOOKS and BOOK CHAPTERS
What are Logistics Clusters?
This is a guest post by Professor Yossi Sheffi, Director, MIT Center for Transportation & Logist[...]
One bad apple...
...spoils the barrel? Yesterday I sat down to prepare a review of this book, Managing Risks in Suppl[...]
REPORTS and WHITEPAPERS
Hiperos - the Integrated View of Supplier Risk
Supply chains have gone global. No longer are they a point-to-chain of goods flowing from a source t[...]
Stemming the rising tide
Are you are taking radically different actions than your peers when it comes to supply chain risk ma[...]
from HERE and THERE
The Box is back!
Finally, the BBC Box has returned home, as I was made aware of from a post on @risk the other day. I[...]
Cutting costs or cutting risks?
One of the blogs I like to browse from time to time, particularly when looking for topics related to[...]