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  4. Decision making in humanitarian logistics : a multi-objective optimization model for relocating relief goods during disaster recovery operations
 
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Decision making in humanitarian logistics : a multi-objective optimization model for relocating relief goods during disaster recovery operations

Publikationstyp
Conference Paper
Publikationsdatum
2013
Sprache
English
Author
Rottkemper, Beate 
Fischer, Kathrin orcid-logo
Herausgeber*innen
Comes, Tina 
Fiedrich, Frank 
Fortier, Simon 
Geldermann, Jutta 
Müller, Tim 
Institut
Quantitative Unternehmensforschung und Wirtschaftsinformatik W-4 
TORE-URI
http://hdl.handle.net/11420/6755
Enthalten in
ISCRAM 2013 Conference Proceedings - 10th International Conference on Information Systems for Crisis Response and Management 
Start Page
647
End Page
657
Citation
ISCRAM 2013 Academic Papers : [ISCRAM 2013 Conference Proceedings] ; 10th International Conference on Information Systems for Crisis Response and Management.- 2013. - Seite 647-657
Contribution to Conference
ISCRAM 2013, 10th International Conference on Information Systems for Crisis Response and Management 2013, Baden-Baden 
Publisher Link
http://idl.iscram.org/files/rottkemper/2013/895_Rottkemper+Fischer2013.pdf
Is Part Of
isbn:978-3-923704-80-4
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.
Schlagworte
Constraint method
Decision making support
Multiobjective decision making
Scenario planning
humanitarian logistics
Multi-objective optimization
Disaster management
DDC Class
330: Wirtschaft
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