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Optimizing Pilot Planning and Training for Continental Airlines

Author

Listed:
  • Gang Yu

    (Department of Management Science and Information Systems, McCombs School of Business, The University of Texas at Austin, Austin, Texas 78712)

  • Julian Pachon

    (Navitaire, Suite 100, Jollyville Road, Austin, Texas 78759)

  • Benjamin Thengvall

    (Navitaire, Suite 100, Jollyville Road, Austin, Texas 78759)

  • Darryal Chandler

    (Continental Airlines, 1600 Smith Street, Houston, Texas 77002)

  • Al Wilson

    (Continental Airlines, 1600 Smith Street, Houston, Texas 77002)

Abstract

The Crew ResourceSolver decision-support system employs advanced optimization modeling and solution techniques to solve complex, large-scale pilot staffing and training problems at Continental Airlines. The system determines optimal pilot transitions and efficiently allocates and schedules training resources. The results are improved staffing levels and substantial cost savings through reduced staffing, hiring, and training costs. Continental has estimated savings of over $10 million per year using the system.

Suggested Citation

  • Gang Yu & Julian Pachon & Benjamin Thengvall & Darryal Chandler & Al Wilson, 2004. "Optimizing Pilot Planning and Training for Continental Airlines," Interfaces, INFORMS, vol. 34(4), pages 253-264, August.
    • Handle: RePEc:inm:orinte:v:34:y:2004:i:4:p:253-264
    DOI: 10.1287/inte.1040.0082
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    References listed on IDEAS

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    1. Knut Haase & Jörg Latteier & Andreas Schirmer, 1999. "Course Planning at Lufthansa Technical Training: Constructing More Profitable Schedules," Interfaces, INFORMS, vol. 29(5), pages 95-109, October.
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    3. Xiangtong Qi & Jonathan F. Bard & Gang Yu, 2004. "Class Scheduling for Pilot Training," Operations Research, INFORMS, vol. 52(1), pages 148-162, February.
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    Cited by:

    1. Cipriano Santos & Tere Gonzalez & Haitao Li & Kay-Yut Chen & Dirk Beyer & Sundaresh Biligi & Qi Feng & Ravindra Kumar & Shelen Jain & Ranga Ramanujam & Alex Zhang, 2013. "HP Enterprise Services Uses Optimization for Resource Planning," Interfaces, INFORMS, vol. 43(2), pages 152-169, April.
    2. Cardoso-Grilo, Teresa & Monteiro, Marta & Oliveira, Mónica Duarte & Amorim-Lopes, Mário & Barbosa-Póvoa, Ana, 2019. "From problem structuring to optimization: A multi-methodological framework to assist the planning of medical training," European Journal of Operational Research, Elsevier, vol. 273(2), pages 662-683.
    3. Kozanidis, George, 2017. "Optimal assignment of aircrew trainees to simulator and classroom training sessions subject to seniority and preference restrictions," Journal of Air Transport Management, Elsevier, vol. 59(C), pages 143-154.

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