ACCAM global optimization model for the USCG aviation air stations

Christie Nelson, Endre Boros, Fred Roberts, Javier Rubio-Herrero, Paul Kantor, Curtis McGinity, Brian Nakamura, Brian Ricks, Patrick Ball, Chad Conrad, Kevin Hanson, Thomas Rader

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

A model was created for the United States Coast Guard (USCG) to maximize aircraft fleet operational performance subject to budgetary constraints, or, conversely, to minimize aircraft fleet operational costs subject to performance targets. This is a two-stage model: The first stage, prior work, is a simulation model of each USCG Air Station generating performance metrics resulting from various scenarios. Each scenario is determined by a large number of relevant Air Station attributes, including number and types of stationed aircraft, operational level, historical Search and Rescue mission response, historical maintenance processes, deployment requirements, and other mission requirements. The second stage, the subject of this paper, is an optimization model over the structured set of scenarios to determine the optimal deployment assignments, operational levels and aircraft allocation among all USCG Air Stations, under the current infrastructure. Additionally, the optimization model is used to demonstrate the potential efficiencies of proposed infrastructural changes, namely the introduction of a deployment center.

Original languageEnglish (US)
Title of host publicationIIE Annual Conference and Expo 2014
PublisherInstitute of Industrial Engineers
Pages2761-2770
Number of pages10
ISBN (Electronic)9780983762430
StatePublished - Jan 1 2014
EventIIE Annual Conference and Expo 2014 - Montreal, Canada
Duration: May 31 2014Jun 3 2014

Publication series

NameIIE Annual Conference and Expo 2014

Other

OtherIIE Annual Conference and Expo 2014
CountryCanada
CityMontreal
Period5/31/146/3/14

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Control and Systems Engineering

Keywords

  • Aviation
  • COAST
  • Optimization
  • Resource allocation
  • USCG

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