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An Optimization Model for Modernizing the Army's Helicopter Fleet

Author

Listed:
  • Gerald G. Brown

    (Department of Operations Research, Naval Postgraduate School, Monterey, California 93943)

  • Robert D. Clemence

    (US Army Concepts Analysis Agency, 8120 Woodmont Avenue, Bethesda, Maryland 20814)

  • William R. Teufert

    (US Army Concepts Analysis Agency, 8120 Woodmont Avenue, Bethesda, Maryland 20814)

  • R. Kevin Wood

    (Department of Operations Research, Naval Postgraduate School, Monterey, California 93943)

Abstract

The helicopter has grown in military stature for more than 40 years: its ascendancy has reformed the US Army. Unfortunately, the current army helicopter fleet consists predominantly of Vietnam-era aircraft approaching the end of their useful lives. We have captured complex procurement and modernization tasks in an optimization-based decision support system, christened PHOENIX, which recognizes yearly operating, maintenance, retirement, service-life extension, and new procurement costs while enforcing constraints on fleet age, technology mix, composition, and budgets over a multi-year planning horizon. The army has applied PHOENIX to helicopters with such success that it has already been adapted to tactical wheeled vehicles and is under consideration for further applications.

Suggested Citation

  • Gerald G. Brown & Robert D. Clemence & William R. Teufert & R. Kevin Wood, 1991. "An Optimization Model for Modernizing the Army's Helicopter Fleet," Interfaces, INFORMS, vol. 21(4), pages 39-52, August.
    • Handle: RePEc:inm:orinte:v:21:y:1991:i:4:p:39-52
    DOI: 10.1287/inte.21.4.39
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    Cited by:

    1. Gerald G. Brown & Robert F. Dell & Alexandra M. Newman, 2004. "Optimizing Military Capital Planning," Interfaces, INFORMS, vol. 34(6), pages 415-425, December.
    2. Gerald G. Brown & Robert F. Dell & Heath Holtz & Alexandra M. Newman, 2003. "How US Air Force Space Command Optimizes Long-Term Investment in Space Systems," Interfaces, INFORMS, vol. 33(4), pages 1-14, August.

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