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US Coast Guard air station location with respect to distress calls: A spatial statistics and optimization based methodology
Authors:David Afshartous  Yongtao Guan  Anuj Mehrotra
Affiliation:1. Division of Clinical Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33129, United States;2. Department of Management Science, University of Miami, School of Business, Coral Gables, FL 33124-8237, United States;3. Department of Biostatistics, Yale School of Public Health, Yale University, New Haven, CT 06520-8034, United States
Abstract: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.
Keywords:Spatial statistics   Simulation   Robust optimization   Facility location   Location uncertainty
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