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Incorporating aircraft efficiency measures into the tail assignment problem

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  • Lapp, Marcial
  • Wikenhauser, Florian

Abstract

We present an optimization framework that minimizes aircraft fuel consumption and emissions through a redesigned tail assignment process. In this fleet specific aircraft assignment, we reallocate aircraft such that fuel efficiency is matched with the fuel productivity of a line-of-flight. We demonstrate substantial fuel cost-savings using a multi-commodity flow network formulation. Realizing that a post aircraft routing, fuel-based aircraft assignment has the potential to alter the pre-existing flight plan, we reformulate the problem within the context of a Pareto-efficiency frontier. Within this framework, we explore the trade-off between fuel savings and three other variables: the number of line-of-flight changes, the number of schedule changes and the combined aircraft utilization. The resulting Pareto-efficiency curves serve as a decision management tool to allow operations managers to determine the most desirable level of fuel savings, while choosing either an acceptable number of changes to a pre-existing schedule or setting a minimum aircraft utilization level.

Suggested Citation

  • Lapp, Marcial & Wikenhauser, Florian, 2012. "Incorporating aircraft efficiency measures into the tail assignment problem," Journal of Air Transport Management, Elsevier, vol. 19(C), pages 25-30.
  • Handle: RePEc:eee:jaitra:v:19:y:2012:i:c:p:25-30
    DOI: 10.1016/j.jairtraman.2011.12.006
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    References listed on IDEAS

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    1. Ram Gopalan & Kalyan T. Talluri, 1998. "The Aircraft Maintenance Routing Problem," Operations Research, INFORMS, vol. 46(2), pages 260-271, April.
    2. Kalyan T. Talluri, 1998. "The Four-Day Aircraft Maintenance Routing Problem," Transportation Science, INFORMS, vol. 32(1), pages 43-53, February.
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    5. Babikian, Raffi & Lukachko, Stephen P. & Waitz, Ian A., 2002. "The historical fuel efficiency characteristics of regional aircraft from technological, operational, and cost perspectives," Journal of Air Transport Management, Elsevier, vol. 8(6), pages 389-400.
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    Cited by:

    1. Jacob D. Maywald & Adam D. Reiman & Robert E. Overstreet & Alan W. Johnson, 2019. "Aircraft selection modeling: a multi-step heuristic to enumerate airlift alternatives," Annals of Operations Research, Springer, vol. 274(1), pages 425-445, March.
    2. Carlos Lagos & Felipe Delgado & Mathias A. Klapp, 2020. "Dynamic Optimization for Airline Maintenance Operations," Transportation Science, INFORMS, vol. 54(4), pages 998-1015, July.
    3. Sebastian Ruther & Natashia Boland & Faramroze G. Engineer & Ian Evans, 2017. "Integrated Aircraft Routing, Crew Pairing, and Tail Assignment: Branch-and-Price with Many Pricing Problems," Transportation Science, INFORMS, vol. 51(1), pages 177-195, February.
    4. Ma, Qiuzhuo & Song, Haiqing & Zhu, Wenbin, 2018. "Low-carbon airline fleet assignment: A compromise approach," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 86-102.
    5. Liang, Zhe & Feng, Yuan & Zhang, Xiaoning & Wu, Tao & Chaovalitwongse, Wanpracha Art, 2015. "Robust weekly aircraft maintenance routing problem and the extension to the tail assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 238-259.

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