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Scheduling response operations under transport network disruptions
Duncan T. Wilson
Glenn I. Hawe
Graham Coates
Roger S. Crouch
T. Comes, F.F., S. Fortier, J. Geldermann and T. Müller
Modeling the complex decision problems faced in the coordination of disaster response as a scheduling problem to be solved using an optimization algorithm has the potential to deliver efficient and effective support to decision makers. However, much of the utility of such a model lies in its ability to accurately predict the outcome of any proposed solution. The stochastic nature of the disaster response environment can make such prediction difficult. In this paper we examine the effect of unknown disruptions to the road transport network on the utility of a disaster response scheduling model. The effects of several levels of disruption are measured empirically and the potential of using real-time information to revise model parameters, and thereby improve predictive performance, is evaluated.
urn:ISBN:9783923704804
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Scheduling%20response%20operations%20under%20transport%20network%20disruptions&stitle=ISCRAM%202013&issn=2411-3387&isbn=9783923704804&date=2013&spage=683&epage=687&aulast=Duncan%20T.%20Wilson&au=Glenn%20I.%20Hawe&au=Graham%20Coates&au=Roger%20S.%20Crouch&pub=Karlsruher%20Institut%20fur%20Technologie&place=KIT%3B%20Baden-Baden&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=1093
citekey:DuncanT.Wilson_etal2013
citation:Duncan T. Wilson, Glenn I. Hawe, Graham Coates, & Roger S. Crouch. (2013). Scheduling response operations under transport network disruptions. In J. Geldermann and T. Müller S. Fortier F. F. T. Comes (Ed.), ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management (pp. 683-687). KIT; Baden-Baden: Karlsruher Institut fur Technologie.
2013
ConferencePaper
text
Algorithms
Decision theory
Disasters
Emergency services
Information systems
Optimization
Stochastic systems
Disaster response
Optimization algorithms
Predictive performance
Real-time information
Road transport networks
Routing
Scheduling problem
Transport networks
Scheduling
file:http://idl.iscram.org/files/wilson/2013/1093_Wilson_etal2013.pdf
Karlsruher Institut fur Technologie
English
2411-3387
ISCRAM 2013 Conference Proceedings – 10th International Conference on Information Systems for Crisis Response and Management
2013
683
687
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