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A Planning Heuristic for Military Airlift

Author

Listed:
  • Harold K. Rappoport

    (DISTINCT Management Consultants, Inc., 10705 Charter Drive, Suite 440, Columbia, Maryland 21044)

  • Laurence S. Levy

    (DISTINCT Management Consultants, Inc., 10705 Charter Drive, Suite 440, Columbia, Maryland 21044)

  • Bruce L. Golden

    (College of Business and Management, University of Maryland, College Park, Maryland 20742)

  • Katherine J. Toussaint

    (DISTINCT Management Consultants, Inc., 10705 Charter Drive, Suite 440, Columbia, Maryland 21044)

Abstract

The Military Airlift Command (MAC) is responsible for planning the allocation of airlift resources for moving cargo and passengers during peacetime and in crisis situations. The airlift-planning heuristic is a candidate for incorporation in the Airlift Deployment Analysis System, an interactive data-base environment. It was developed for the US Air Force under a subcontract with Oak Ridge National Laboratory. The heuristic is fast and flexible, incorporating all significant constraints for both deliberate (peacetime) and execution (crisis) planning. Because of its speed and detail, MAC will be able to evaluate many options quickly when performing deliberate planning. With its interactive data-base structure and ability to interrupt and restore a problem at any time in the analysis, MAC can be very responsive in execution planning.

Suggested Citation

  • Harold K. Rappoport & Laurence S. Levy & Bruce L. Golden & Katherine J. Toussaint, 1992. "A Planning Heuristic for Military Airlift," Interfaces, INFORMS, vol. 22(3), pages 73-87, June.
    • Handle: RePEc:inm:orinte:v:22:y:1992:i:3:p:73-87
    DOI: 10.1287/inte.22.3.73
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    Citations

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    Cited by:

    1. Barbarosoglu, Gulay & Ozdamar, Linet & Cevik, Ahmet, 2002. "An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations," European Journal of Operational Research, Elsevier, vol. 140(1), pages 118-133, July.
    2. 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.
    3. C Guéret & N Jussien & O Lhomme & C Pavageau & C Prins, 2003. "Loading aircraft for military operations," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(5), pages 458-465, May.
    4. Xin Li & Sangen Hu & Wenbo Fan & Kai Deng, 2018. "Modeling an enhanced ridesharing system with meet points and time windows," PLOS ONE, Public Library of Science, vol. 13(5), pages 1-19, May.
    5. Mahmoudi, Monirehalsadat & Zhou, Xuesong, 2016. "Finding optimal solutions for vehicle routing problem with pickup and delivery services with time windows: A dynamic programming approach based on state–space–time network representations," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 19-42.

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