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Crew Planning at Flying Tiger: A Successful Application of Integer Programming


  • Roy E. Marsten

    (University of Arizona)

  • Michael R. Muller

    (The Flying Tiger line, Los Angeles)

  • Christine L. Killion

    (The Flying Tiger line, Los Angeles)


This paper presents a successful application of integer programming to the scheduling of flight crews for a cargo airline. The crew planning process is discussed, the role of the set partitioning model is explained, and representative computational experience is reported. The success of this application is shown to rest upon improved problem conceptualization and decomposition rather than on any advances in solution techniques.

Suggested Citation

  • Roy E. Marsten & Michael R. Muller & Christine L. Killion, 1979. "Crew Planning at Flying Tiger: A Successful Application of Integer Programming," Management Science, INFORMS, vol. 25(12), pages 1175-1183, December.
  • Handle: RePEc:inm:ormnsc:v:25:y:1979:i:12:p:1175-1183

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    Cited by:

    1. Desaulniers, G. & Desrosiers, J. & Dumas, Y. & Marc, S. & Rioux, B. & Solomon, M. M. & Soumis, F., 1997. "Crew pairing at Air France," European Journal of Operational Research, Elsevier, vol. 97(2), pages 245-259, March.
    2. Valls, Vicente & Angeles Perez, M. & Sacramento Quintanilla, M., 1998. "Pre-processing techniques for resource allocation in the heterogeneous case," European Journal of Operational Research, Elsevier, vol. 107(2), pages 470-491, June.
    3. Beasley, J. E. & Cao, B., 1996. "A tree search algorithm for the crew scheduling problem," European Journal of Operational Research, Elsevier, vol. 94(3), pages 517-526, November.
    4. Wark, Peter & Holt, John & Ronnqvist, Mikael & Ryan, David, 1997. "Aircrew schedule generation using repeated matching," European Journal of Operational Research, Elsevier, vol. 102(1), pages 21-35, October.
    5. Jenna Toussaint & Shang Wu & Kent D. Messer, 2012. "Maximizing Benefits for Women: A Charitable Donation Allocation Problem," Working Papers 12-12, University of Delaware, Department of Economics.


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