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Author |
Soumia Ichoua |
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Title |
Humanitarian logistics network design for an effective disaster response |
Type |
Conference Article |
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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 |
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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 |
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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. |
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Address |
Department of Computer Science and Engineering, Johnson C. Smith University, United States |
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Publisher |
Information Systems for Crisis Response and Management, ISCRAM |
Place of Publication |
Seattle, WA |
Editor |
S. French, B. Tomaszewski, C. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2411-3387 |
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Track |
Humanitarian Challenges |
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Conference |
7th International ISCRAM Conference on Information Systems for Crisis Response and Management |
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Notes |
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Approved |
no |
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Call Number |
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Serial |
610 |
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Author |
Stefan Schauer; Stefan Rass; Sandra König; Klaus Steinnocher; Thomas Schaberreiter; Gerald Quirchmayr |
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Title |
Cross-Domain Risk Analysis to Strengthen City Resilience: the ODYSSEUS Approach |
Type |
Conference Article |
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Year |
2020 |
Publication |
ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management |
Abbreviated Journal |
Iscram 2020 |
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Issue |
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Pages |
652-662 |
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Keywords |
Risk Management; Cross-Domain Networks; Interdependencies; Stochastic Model; City Resilience; Critical Infrastructures |
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Abstract |
In this article, we want to present the concept for a risk management approach to assess the condition of critical infrastructure networks within metropolitan areas, their interdependencies among each other and the potential cascading effects. In contrast to existing solutions, this concept aims at providing a holistic view on the variety of interconnected networks within a city and the complex dependencies among them. Therefore, stochastic models and simulations are integrated into risk management to improve the assessment of cascading effects and support decision makers in crisis situations. This holistic view will allow risk managers at the city administration as well as emergency organizations to understand the full consequences of an incident and plan mitigation actions accordingly. Additionally, the approach will help to further strengthen the resilience of the entire city as well as the individual critical infrastructures in crisis situations. |
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Address |
AIT Austrian Institute of Technology; Alpen-Adria Universit\"at Klagenfurt; AIT Austrian Institute of Technology;AIT Austrian Institute of Technology;University of Vienna; University of Vienna |
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Thesis |
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Publisher |
Virginia Tech |
Place of Publication |
Blacksburg, VA (USA) |
Editor |
Amanda Hughes; Fiona McNeill; Christopher W. Zobel |
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Language |
English |
Summary Language |
English |
Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
978-1-949373-27-60 |
ISBN |
2411-3446 |
Medium |
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Track |
Resilience in Critical Infrastructures |
Expedition |
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Conference |
17th International Conference on Information Systems for Crisis Response and Management |
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Notes |
stefan.schauer@ait.ac.at |
Approved |
no |
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Call Number |
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Serial |
2261 |
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