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A decision support framework to assess supply chain resilience
Mauro Falasca
author
Christopher W. Zobel
author
Deborah Cook
author
2008
Information Systems for Crisis Response and Management, ISCRAM
Washington, DC
English
Our research is aimed at developing a quantitative approach for assessing supply chain resilience to disasters, a topic that has been discussed primarily in a qualitative manner in the literature. For this purpose, we propose a simulation-based framework that incorporates concepts of resilience into the process of supply chain design. In this context, resilience is defined as the ability of a supply chain system to reduce the probabilities of disruptions, to reduce the consequences of those disruptions, and to reduce the time to recover normal performance. The decision framework incorporates three determinants of supply chain resilience (density, complexity, and node criticality) and discusses their relationship to the occurrence of disruptions, to the impacts of those disruptions on the performance of a supply chain system and to the time needed for recovery. Different preliminary strategies for evaluating supply chain resilience to disasters are identified, and directions for future research are discussed.
Artificial intelligence
Decision support systems
Disasters
Information systems
Inventory control
Decision framework
Decision support framework
Quantitative approach
Resilience
Simulation
Supply chain design
Supply chain resiliences
Supply chain systems
Supply chains
exported from refbase (http://idl.iscram.org/show.php?record=481), last updated on Sun, 09 Aug 2015 06:53:37 +0200
text
http://idl.iscram.org/files/falasca/2008/481_Falasca_etal2008.pdf
MauroFalasca_etal2008
Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2008
F. Fiedrich
B
Van
de
Walle
editor
5th International ISCRAM Conference on Information Systems for Crisis Response and Management
2008
Information Systems for Crisis Response and Management, ISCRAM
Washington, DC
conference publication
596
605
9780615206974
2411-3387
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