article · 2008
Spatial statistics Simulation Robust optimization Facility location
David Afshartous A, Yongtao Guan B, Anuj Mehrotra C, Location Uncertainty
Cited by 0Abstract and details only
Abstract
a b s t r a c t We study the problem of suitably locating US Coast Guard air stations to respond to emergency distress calls. Our goal is to identify robust locations in the presence of uncertainty in distress call locations. Our analysis differs from the literature primarily in the way we model this uncertainty. In our optimization and simulation based methodology, we develop a statistical model and demonstrate our procedure using a real data set of distress calls. In addition to guiding strategic decisions of placement of various stations, our methodology is also able to provide guidance on how the resources should be allocated across stations.
Cite this paper
A, D. A., B, Y. G., C, A. M., & Uncertainty, L. (2008). Spatial statistics Simulation Robust optimization Facility location.
A, David Afshartous, et al. “Spatial statistics Simulation Robust optimization Facility location.” 2008.
A, David Afshartous, Yongtao Guan B, Anuj Mehrotra C, and Location Uncertainty. 2008. “Spatial statistics Simulation Robust optimization Facility location.”
A, D.A. et al. (2008) ‘Spatial statistics Simulation Robust optimization Facility location’.
@article{a2008spatial,
title = {{Spatial statistics Simulation Robust optimization Facility location}},
author = {A, David Afshartous and B, Yongtao Guan and C, Anuj Mehrotra and Uncertainty, Location},
year = {2008}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.