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Optimizing Military Airlift

Author

Listed:
  • Steven F. Baker

    (Department of Management, U.S. Air Force Academy, USAF Academy, Colorado 80840)

  • David P. Morton

    (Graduate Program in Operations Research, The University of Texas at Austin, Austin, Texas 78712-1063)

  • Richard E. Rosenthal

    (Operations Research Department, Naval Postgraduate School, Monterey, California 93943-5000)

  • Laura Melody Williams

    (Operations Research Department, Naval Postgraduate School, Monterey, California 93943-5000)

Abstract

We describe a large-scale linear programming model for optimizing strategic (intercontinental) airlift capability. The model routes cargo and passengers through a specified transportation network with a given fleet of aircraft subject to many physical and policy constraints. The time-dynamic model captures a significant number of the important aspects of an airlift system in a large-scale military deployment, including aerial refueling, tactical (intracontinental) aircraft shuttles, and constraints based on crew availability. The model is designed to provide insight into issues associated with designing and operating an airlift system. We describe analyses for the U.S. Air Force system concerning fleet modernization and concerning the allocation of resources that affect the processing capacity of airfields.

Suggested Citation

  • Steven F. Baker & David P. Morton & Richard E. Rosenthal & Laura Melody Williams, 2002. "Optimizing Military Airlift," Operations Research, INFORMS, vol. 50(4), pages 582-602, August.
  • Handle: RePEc:inm:oropre:v:50:y:2002:i:4:p:582-602
    DOI: 10.1287/opre.50.4.582.2864
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    Citations

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    Cited by:

    1. Fang Lu & John J. Hasenbein & David P. Morton, 2016. "Modeling and Optimization of a Spatial Detection System," INFORMS Journal on Computing, INFORMS, vol. 28(3), pages 512-526, August.
    2. Aruna Apte & Marigee Bacolod & Ryan Carmichael, 2020. "Tradeoffs among Attributes of Resources in Humanitarian Operations: Evidence from United States Navy," Production and Operations Management, Production and Operations Management Society, vol. 29(4), pages 1071-1090, April.
    3. Alexander J. Zolan & Michael S. Scioletti & David P. Morton & Alexandra M. Newman, 2021. "Decomposing Loosely Coupled Mixed-Integer Programs for Optimal Microgrid Design," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1300-1319, October.
    4. A Ghanmi & R H A D Shaw, 2008. "Modelling and analysis of Canadian Forces strategic lift and pre-positioning options," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(12), pages 1591-1602, December.
    5. Yuri M. Zhukov & Charles H. Anderton & Jurgen Brauer, "undated". "On the Logistics of Violence," Working Paper 255276, Harvard University OpenScholar.

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