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A decision support system for crew planning in passenger transportation using a flexible branch-and-price algorithm

Author

Listed:
  • Freling, R.
  • Lentink, R.M.
  • Wagelmans, A.P.M.

Abstract

This paper discusses a decision support system for airline and railway crew planning. The system is a state-of-the-art branch-and-price solver that is used for crew scheduling and crew rostering. We briefly discuss the mathematical background of the solver, of which most part is covered in the Operations Research literature. Crew scheduling is crew planning for one or a few days that results in crew duties or pairings, and crew rostering is crew planning for at least one week for individual crew members. Technical issues about the system and its implementation are covered in more detail, as well as several applications. In particular, we focus on a specific aircrew rostering application. The computational results contain an interesting comparison of results obtained with, on one hand, the approach in which crew scheduling is carried out before crew rostering, and, on the other hand, an approach in which these two planning problems are solved in an integrated manner.

Suggested Citation

  • Freling, R. & Lentink, R.M. & Wagelmans, A.P.M., 2001. "A decision support system for crew planning in passenger transportation using a flexible branch-and-price algorithm," ERIM Report Series Research in Management ERS-2001-57-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    • Handle: RePEc:ems:eureri:118
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    References listed on IDEAS

    as
    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. Paul R. Day & David M. Ryan, 1997. "Flight Attendant Rostering for Short-Haul Airline Operations," Operations Research, INFORMS, vol. 45(5), pages 649-661, October.
    3. Jacques Desrosiers & Arielle Lasry & Daniel McInnis & Marius M. Solomon & François Soumis, 2000. "Air Transat Uses ALTITUDE to Manage Its Aircraft Routing, Crew Pairing, and Work Assignment," Interfaces, INFORMS, vol. 30(2), pages 41-53, April.
    4. Robert E. Bixby & John W. Gregory & Irvin J. Lustig & Roy E. Marsten & David F. Shanno, 1992. "Very Large-Scale Linear Programming: A Case Study in Combining Interior Point and Simplex Methods," Operations Research, INFORMS, vol. 40(5), pages 885-897, October.
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    Cited by:

    1. Maenhout, Broos & Vanhoucke, Mario, 2010. "A hybrid scatter search heuristic for personalized crew rostering in the airline industry," European Journal of Operational Research, Elsevier, vol. 206(1), pages 155-167, October.
    2. Lentink, R.M. & Odijk, M.A. & van Rijn, E., 2002. "Crew Rostering for the High Speed Train," ERIM Report Series Research in Management ERS-2002-07-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

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    More about this item

    Keywords

    branch and bound; crew planning; decision support systems;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • R4 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics

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