US Coast Guard air station location with respect to distress calls

A spatial statistics and optimization based methodology

David Afshartous, Yongtao Guan, Anuj Mehrotra

Research output: Contribution to journalArticle

18 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)1086-1096
Number of pages11
JournalEuropean Journal of Operational Research
Volume196
Issue number3
DOIs
StatePublished - Aug 1 2009

Fingerprint

Spatial Statistics
Coastal zones
Statistics
Uncertainty
Optimization
Methodology
Air
Emergency
Statistical Model
Placement
Guidance
Resources
Demonstrate
Simulation
Distress
Coast
Spatial statistics
Model
Statistical Models

Keywords

  • Facility location
  • Location uncertainty
  • Robust optimization
  • Simulation
  • Spatial statistics

ASJC Scopus subject areas

  • Management Science and Operations Research
  • Modeling and Simulation
  • Information Systems and Management

Cite this

US Coast Guard air station location with respect to distress calls : A spatial statistics and optimization based methodology. / Afshartous, David; Guan, Yongtao; Mehrotra, Anuj.

In: European Journal of Operational Research, Vol. 196, No. 3, 01.08.2009, p. 1086-1096.

Research output: Contribution to journalArticle

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