Supply Chain Risk Management: A Neural Network Approach

I found a very interesting article by Frank Teuteberg in Strategies and Tactics in Supply Chain Event Management. The article, Supply Chain Risk Management: A Neural Network Approach is interesting to supply chain risk researchers, because it offers a well-written and well-founded and well-illustrated chapter on the theoretical background of supply chain risk management, including a disruption classification and assessment.

Supply chain disruption

Supply chain event management (abbreviated as SCEM) is a consideration of all possible occurring events and factors that can cause a disruption in a supply chain. With SCEM possible scenarios can be created and solutions can be planned. SCEM takes on a more neutral approach to all events, not just focusing on the negative events, as supply chain risk management is likely to imply.

Reference

Teuteberg, F. (2008) Supply Chain Risk Management: A Neural Network Approach. In: Strategies and Tactics in Supply Chain Event Management. Eds. Ijoui R. et al., Springer Verlag, pp. 99-118



Author link

Related

Posted in ARTICLES and PAPERS
Tags: , , , ,

ARTICLES and PAPERS
How to secure your supply chain - 1/7
This the first post in a series that reviews and translates into English some of the content in the [...]
CALL for Papers: NOFOMA 2011
NOFOMA is the network of Nordic researchers within the field of Logistics and Supply Chain Managemen[...]
BOOKS and BOOK CHAPTERS
Book review: The Network Reliability of Transport
I guess you would have to have attended the conference yourself or be a researcher in this very fiel[...]
Book Review: Logistics Management and Strategy
Logistics Management and Strategy by Alan Harrison and Remko van Hoek does come at very hefty price,[...]
REPORTS and WHITEPAPERS
Transport infrastructure resilience
Is it possible to devise a simple framework for assessing the resilience of the transport infrastruc[...]
When disaster strikes...
...how does the transportation network recover? And why are transportation networks so essential to [...]