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Decision making in humanitarian logistics – A multi-objective optimization model for relocating relief goods during disaster recovery operations
Beate Rottkemper
author
Kathrin Fischer
author
2013
Karlsruher Institut fur Technologie
KIT; Baden-Baden
English
Disaster recovery operations rarely proceed smoothly and disruptions often require the redistribution of relief items. Such a redistribution has to be carried out taking into account both the current disruption and the uncertainty regarding possible future incidents in the respective area. As decisions have to be made fast in humanitarian operations, extensive optimization runs cannot be conducted in such a situation. Nevertheless, sensible decisions should be made to ensure an efficient redistribution, considering not only satisfaction of needs but also operational costs, as the budget is usually scarce in the recovery phase of a disaster. In this work, different scenarios are generated and then solved with a multiobjective optimization model to explore possible developments. By evaluating the results of these scenarios, decision rules are identified which can support the decision maker in the actual disaster situation in making fast, but nevertheless well-founded, decisions.
Budget control
Decision making
Disasters
Information systems
Mathematical models
Multiobjective optimization
Recovery
Constraint methods
Decision making support
Disaster situations
Humanitarian logistics
Humanitarian operations
Multi objective decision making
Multi-objective optimization models
Scenario Planning
Emergency services
exported from refbase (http://idl.iscram.org/show.php?record=895), last updated on Sun, 09 Aug 2015 05:21:51 +0200
text
http://idl.iscram.org/files/rottkemper/2013/895_Rottkemper+Fischer2013.pdf
BeateRottkemper+KathrinFischer2013
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
647
657
9783923704804
2411-3387
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