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Building robust supply networks for effective and efficient disaster response
Tina Comes
author
Frank Schätter
author
Frank Schultmann
author
2013
Karlsruher Institut fur Technologie
KIT; Baden-Baden
English
The effective and efficient distribution of relief goods is a key challenge in disaster management. Typically, adhoc supply networks (SNs) need to be built, in which various actors with different interests collaborate. Although information is sparse and highly uncertain, time for SN design is short, and important strategic decisions (e.g., location of facilities), whose revision requires investing substantial time, effort and resources, must be made promptly. This paper presents an iterative approach for the design of robust SNs that combines (i) an optimisation model to identify promising alternatives to be analysed in detail, (ii) a scenario-based approach to analyse the weaknesses of these alternatives and generate alternative solutions for comparison and benchmarking, and (iii) a decision support module for detailed comparisons and consensus building. By following the iterative approach, successively robust SNs are created to enable effective and efficient disaster response. We illustrate our approach by an example from the Haiti 2010 earthquake.
Decision support systems
Disaster prevention
Disasters
Distribution of goods
Efficiency
Information systems
Optimization
Decision supports
Effectiveness
Humanitarian relief
Multi-criteria decision analysis
Optimisations
Supply networks
Emergency services
exported from refbase (http://idl.iscram.org/show.php?record=404), last updated on Sun, 09 Aug 2015 05:26:28 +0200
text
http://idl.iscram.org/files/comes/2013/404_Comes_etal2013.pdf
TinaComes_etal2013
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management
ISCRAM 2013
T. Comes
F
Fiedrich
editor
10th International ISCRAM Conference on Information Systems for Crisis Response and Management
2013
Karlsruher Institut fur Technologie
KIT; Baden-Baden
conference publication
230
240
9783923704804
2411-3387
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