D.T. Wilson
Scheduling Response Operations under Transport Network Disruptions
Wilson, D.T.; Hawe, G.I.; Coates, G.; Crouch, R.S.
Authors
G.I. Hawe
G. Coates
R.S. Crouch
Abstract
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.
Citation
Wilson, D., Hawe, G., Coates, G., & Crouch, R. (2013, December). Scheduling Response Operations under Transport Network Disruptions. Presented at 10th International Conference on Information Systems for Crisis Response and Management, Baden-Baden, Germany
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 10th International Conference on Information Systems for Crisis Response and Management |
Publication Date | Jan 1, 2013 |
Deposit Date | Jan 5, 2016 |
Publicly Available Date | Jan 28, 2016 |
Book Title | 10th International Conference on Information Systems for Crisis Response and Management ; proceedings |
Keywords | Routing, Scheduling, Optimization, Disaster response |
Public URL | https://durham-repository.worktribe.com/output/1151897 |
Publisher URL | http://www.iscramlive.org/portal/iscram2013theme07 |
Files
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