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The Problem of Generating Crew Bidlines

Author

Listed:
  • Ahmad I. Z. Jarrah

    (Transport Dynamics, 103 Carnegie Center, Suite 317, Princeton, New Jersey 08540)

  • James T. Diamond

    (Sabre Decision Technologies, PO Box 619616, MD 4331, Dallas-Fort Worth Airport, Texas 75261-9616)

Abstract
Most US airlines generate pairings (or several-days-long work schedules) for airline crews and then string these pairings together into efficient month-long assignments or bidlines. In addition to meeting all relevant federal and union regulations, the generated bidlines must meet unwritten quality-of-life criteria. We developed an efficient optimization-based system for a major US airline to address this problem. It takes into account all relevant federal and union regulations and possesses a host of parameters that schedulers use to control the quality of the bidlines generated. The benefits from the system include reducing the time and resources needed to generate bidlines, improving crew utilization, and the ability to conduct what-if analyses to assess the impact of changes in the work rules and environment.

Suggested Citation

  • Ahmad I. Z. Jarrah & James T. Diamond, 1997. "The Problem of Generating Crew Bidlines," Interfaces, INFORMS, vol. 27(4), pages 49-64, August.
    • Handle: RePEc:inm:orinte:v:27:y:1997:i:4:p:49-64
    DOI: 10.1287/inte.27.4.49
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    Citations

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    Cited by:

    1. Vahid Zeighami & François Soumis, 2019. "Combining Benders’ Decomposition and Column Generation for Integrated Crew Pairing and Personalized Crew Assignment Problems," Transportation Science, INFORMS, vol. 53(5), pages 1479-1499, September.
    2. Atoosa Kasirzadeh & Mohammed Saddoune & François Soumis, 2017. "Airline crew scheduling: models, algorithms, and data sets," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(2), pages 111-137, June.
    3. Mohammed Saddoune & Guy Desaulniers & Issmail Elhallaoui & François Soumis, 2012. "Integrated Airline Crew Pairing and Crew Assignment by Dynamic Constraint Aggregation," Transportation Science, INFORMS, vol. 46(1), pages 39-55, February.
    4. S Eom & E Kim, 2006. "A survey of decision support system applications (1995–2001)," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(11), pages 1264-1278, November.
    5. 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.
    6. Ioannis T. Christou & Armand Zakarian & Jun-Min Liu & Helen Carter, 1999. "A Two-Phase Genetic Algorithm for Large-Scale Bidline-Generation Problems at Delta Air Lines," Interfaces, INFORMS, vol. 29(5), pages 51-65, October.
    7. Larry J. LeBlanc & Dale Randels & T. K. Swann, 2000. "Heery International's Spreadsheet Optimization Model for Assigning Managers to Construction Projects," Interfaces, INFORMS, vol. 30(6), pages 95-106, December.

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