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Course Planning at Lufthansa Technical Training: Constructing More Profitable Schedules

Author

Listed:
  • Knut Haase

    (Institut für Betriebswirtschaftslehre, Christian-Albrechts-Universität zu Kiel, Wilhelm-Seelig-Platz 1, D-24098 Kiel, Germany)

  • Jörg Latteier

    (Institut für Betriebswirtschaftslehre, Christian-Albrechts-Universität zu Kiel, Wilhelm-Seelig-Platz 1, D-24098 Kiel, Germany)

  • Andreas Schirmer

    (Institut für Betriebswirtschaftslehre, Christian-Albrechts-Universität zu Kiel, Wilhelm-Seelig-Platz 1, D-24098 Kiel, Germany and Institut für Informatik und Praktische Mathematik, Christian-Albrechts-Universität zu Kiel, Hermann-Rodewald-Str. 3, D-24118 Kiel, Germany)

Abstract

Lufthansa Technical Training GmbH (LTT) runs training courses for Lufthansa Technik AG and for several other international airlines. It offers about 670 types of courses of which several hundred take place each year. The course-scheduling problem LTT faces is to develop a schedule for the year that maximizes its profit while meeting complex precedence, temporal, and resource-related constraints. A good operational schedule should also meet a number of subordinate objectives. In the past, LTT did all its scheduling manually. We developed a prototype course-scheduling module, using the operational planning situation of 1996 as our major test instance. It turned out that most of the schedules generated were substantially better than the solution LTT constructed manually, both in terms of profit and computation time. We subsequently developed a fully fledged decision-support system.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:orinte:v:29:y:1999:i:5:p:95-109
    DOI: 10.1287/inte.29.5.95
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. 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.
    2. Schirmer, Andreas & Potzhar, Kathrin, 2001. "Professional course scheduling in airline transport pilot training: A case from Lufthansa flight training," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 539, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    3. Aslan, Ayse & Ursavas, Evrim & Romeijnders, Ward, 2023. "A Precedence Constrained Knapsack Problem with Uncertain Item Weights for Personalized Learning Systems," Omega, Elsevier, vol. 115(C).
    4. M Bazargan-Lari, 2004. "Flexible versus fixed timetabling: a case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(2), pages 123-131, February.
    5. Schirmer, Andreas & Potzahr, Kathrin, 2001. "Lehrgangsplanung für die Ausbildung von Verkehrsflugzeugführern: Ergebnisse einer Studie bei Lufthansa Flight Training," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 538, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    6. Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre (Ed.), 2000. "Jahresbericht 1999," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 522, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    7. 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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