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Author Mauro Falasca; Christopher W. Zobel; Deborah Cook
Title A decision support framework to assess supply chain resilience Type Conference Article
Year 2008 Publication 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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Author Soumia Ichoua
Title Humanitarian logistics network design for an effective disaster response Type Conference Article
Year 2010 Publication ISCRAM 2010 – 7th International Conference on Information Systems for Crisis Response and Management: Defining Crisis Management 3.0, Proceedings Abbreviated Journal ISCRAM 2010
Volume Issue Pages
Keywords Disasters; Information systems; Location; Stochastic models; Stochastic systems; Transportation; Disaster response; Humanitarian logistics; Inventory; Local distributions; Pre-positioning; Scenario-based modeling; Stochastic; Strategic decisions; Emergency services
Abstract In this paper we address the problem of pre-positioning emergency supplies prior to a disaster onset. The goal is to ensure a fast and effective response when the disaster strikes. Pre-positioning of emergency supplies is a strategic decision aimed at determining the number and location of local distribution centers as well as their inventory levels for emergency supplies. These decisions must be made in a highly disruption-prone environment where a timely response is vital and resources are scarce. We present and discuss a scenario-based model that integrates location, inventory and routing decisions.
Address Department of Computer Science and Engineering, Johnson C. Smith University, United States
Corporate Author Thesis
Publisher Information Systems for Crisis Response and Management, ISCRAM Place of Publication Seattle, WA Editor S. French, B. Tomaszewski, C. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN Medium
Track Humanitarian Challenges Expedition Conference 7th International ISCRAM Conference on Information Systems for Crisis Response and Management
Notes Approved no
Call Number Serial 610
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Author Ilan Noy; Jacob Pastor Paz; Olga Filippova; Ken Elwood
Title A Building Inventory for Seismic Policy in an Earthquake-Prone City Type Conference Article
Year 2018 Publication Proceedings of ISCRAM Asia Pacific 2018: Innovating for Resilience – 1st International Conference on Information Systems for Crisis Response and Management Asia Pacific. Abbreviated Journal Iscram Ap 2018
Volume Issue Pages 145-152
Keywords Earthquake-prone, building inventory, retrofit, building occupancy, building standards
Abstract We describe the creation of a building inventory database that is created for Wellington, New Zealand's earthquake-prone capital city. This database aims to assist the generation of research on the risks, impacts, and viable solutions for reducing the seismic risk of existing multi-story concrete buildings in Wellington's Central Business District. The database includes structural, economic and market information on every building in the CDB. Its primary purpose is to inform a multi-disciplinary project whose aims are: (1) to provide best scientific knowledge about the expected seismic performance of concrete buildings; (2) to assess the impact of multiple building failures including the downstream consequences of associated cordoning; (3) to provide a path for seismic retrofitting that includes prioritization of retrofits; and (4) to inform the design of a regulatory structure that can facilitate the reduction of risk associated with earthquake vulnerable concrete buildings as described in aims (1)-(3).
Address Victoria University of Wellington; Victoria University of Wellington; University of Auckland; University of Auckland
Corporate Author Thesis
Publisher Massey Univeristy Place of Publication Albany, Auckland, New Zealand Editor Kristin Stock; Deborah Bunker
Language English Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Track Data Issues for Situation/Disaster Awareness Expedition Conference
Notes Approved no
Call Number Serial 1684
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Author Sandra Lechtenberg; Adam Widera; Bernd Hellingrath
Title Assessing Vendor Managed Inventory (VMI) for Humanitarian Organizations Type Conference Article
Year 2017 Publication Proceedings of the 14th International Conference on Information Systems for Crisis Response And Management Abbreviated Journal Iscram 2017
Volume Issue Pages 765-774
Keywords Humanitarian Logistics; Vendor Managed Inventory; Humanitarian Supply Chains
Abstract Logistics activities are of high importance for the success of a humanitarian operation and can be responsible for up to 80% of its costs. Vendor Managed Inventory, a concept successfully applied in commercial logistics, might be a possibility to enhance the effectiveness of humanitarian logistics operations. However, there is a lack of an appropriate assessment of the VMI applicability for a humanitarian organization. We propose an adjusted VMI Readiness Score for humanitarian organizations, a tool adapted from a commercial context for the specific requirements of humanitarian scenarios, to gain a general impression of the suitability of VMI. The tool is applied exemplary to the IFRC and the result indicates that it is worthwhile to further investigate the applicability of VMI for humanitarian organizations.
Address Chair of Information Systems and Supply Chain Management, University of Münster
Corporate Author Thesis
Publisher Iscram Place of Publication Albi, France Editor Tina Comes, F.B., Chihab Hanachi, Matthieu Lauras, Aurélie Montarnal, eds
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2411-3387 ISBN Medium
Track Logistics and Supply-Chain Expedition Conference 14th International Conference on Information Systems for Crisis Response And Management
Notes Approved no
Call Number Serial 2063
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