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Author Mauro Falasca; Christopher W. Zobel; Deborah Cook pdf  isbn
  Title A decision support framework to assess supply chain resilience Type Conference Article
  Year 2008 Publication (down) Proceedings of ISCRAM 2008 – 5th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal ISCRAM 2008  
  Volume Issue Pages 596-605  
  Keywords 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  
  Abstract 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.  
  Address Dept. of Business Information Technology, R.B. Pamplin College of Business, Virginia Polytechnic Institute and State University, Blacksburg VA, 24061, United States  
  Corporate Author Thesis  
  Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Washington, DC Editor F. Fiedrich, B. Van de Walle  
  Language English Summary Language English Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 9780615206974 Medium  
  Track Impact of Disasters on Industry and Economic Effects Expedition Conference 5th International ISCRAM Conference on Information Systems for Crisis Response and Management  
  Notes Approved no  
  Call Number Serial 481  
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