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Decision support for the location planning in disaster areas using multi-criteria methods
Philip Degener
author
Henning Gösling
author
Jutta Geldermann.
author
2013
Karlsruher Institut fur Technologie
KIT; Baden-Baden
English
In this paper, a multi-criteria facility location model is represented. The model is meant to support relief organisations to determine the best warehouse location to stock emergency relief supplies in the pre-disaster phase of a natural disaster. As a result of the prepositioning of the goods the relief organisations are able to respond immediately to an occurring disaster. In consideration of a multiplicity of quantitative and qualitative objectives a criteria hierarchy is developed which can be adapted to any specific disaster area by omitting irrelevant goals. Afterwards the multi-criteria methods PROMETHEE I+II as well as different sensitivity analysis are described and the model is applied on a local level in a flood-prone area in Bangladesh. Small organisations with restrictive financial and personnel resources can especially benefit from the clear structure of the model and the user friendliness and high transparency of the PROMETHE I+II methods.
Decision support systems
Disasters
Facilities
Information systems
Location
Societies and institutions
Decision supports
Emergency relief
Facility location models
Facility locations
Multi-criteria method
Personnel resources
Pre-positioning
Warehouse location
Emergency services
exported from refbase (http://idl.iscram.org/show.php?record=439), last updated on Sun, 09 Aug 2015 05:38:04 +0200
text
http://idl.iscram.org/files/degener/2013/439_Degener_etal2013.pdf
PhilipDegener_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
278
283
9783923704804
2411-3387
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