IDEAS home Printed from https://ideas.repec.org/h/zbw/hiclch/209351.html
   My bibliography  Save this book chapter

Business model of aircraft fleet planning using ANN

In: The Road to a Digitalized Supply Chain Management: Smart and Digital Solutions for Supply Chain Management. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 25

Author

Listed:
  • Pandit, Partha Kumar
  • Akhtar Hasin, M. Ahsan

Abstract

The purpose of Aircraft Fleet Planning is to provide the number and type of aircraft for acquisition, its time of acquisition, and trade-in or phase out of fleet. Airlines select a particular type of aircraft from the manufacturer on the basis of optimum cost, considering a number of constraints. Because of existence of several conflicting criteria, the solution approach becomes an NP-hard problem. As such, a traditional linear programming approach cannot optimize the system in a reasonable time frame. This paper aims at developing a model for selecting aircraft using Artificial Neural Networks. Key inputs have been obtained from the major areas of aircraft design characteristics, aircraft physical performance, maintenance needs, operating economics, acquisition cost, operating cost and customer satisfaction. The input values are fuzzy in nature. However, several methods for combined use of fuzzy logic systems and neural networks have been suggested. Experience, which is conventionally used for selecting a particular type of aircraft, has been used for training of the proposed network. Single-layer ANN model provided a good solution with optimality in cost, without sacrificing time constraint and algorithmic complexity. The airline business will be immensely benefited from the solution procedure.

Suggested Citation

  • Pandit, Partha Kumar & Akhtar Hasin, M. Ahsan, 2018. "Business model of aircraft fleet planning using ANN," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), The Road to a Digitalized Supply Chain Management: Smart and Digital Solutions for Supply Chain Management. Proceedings of the Hamburg International C, volume 25, pages 221-247, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:209351
    DOI: 10.15480/882.1827
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/209351/1/hicl-2018-25-221.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.15480/882.1827?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Ahmad I. Jarrah & Jon Goodstein & Ram Narasimhan, 2000. "An Efficient Airline Re-Fleeting Model for the Incremental Modification of Planned Fleet Assignments," Transportation Science, INFORMS, vol. 34(4), pages 349-363, November.
    2. Swan, William M. & Adler, Nicole, 2006. "Aircraft trip cost parameters: A function of stage length and seat capacity," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 42(2), pages 105-115, March.
    3. L. W. Clarke & C. A. Hane & E. L. Johnson & G. L. Nemhauser, 1996. "Maintenance and Crew Considerations in Fleet Assignment," Transportation Science, INFORMS, vol. 30(3), pages 249-260, August.
    4. Timothy L. Jacobs & Barry C. Smith & Ellis L. Johnson, 2008. "Incorporating Network Flow Effects into the Airline Fleet Assignment Process," Transportation Science, INFORMS, vol. 42(4), pages 514-529, November.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Oliver Faust & Jochen Gönsch & Robert Klein, 2017. "Demand-Oriented Integrated Scheduling for Point-to-Point Airlines," Transportation Science, INFORMS, vol. 51(1), pages 196-213, February.
    2. Sherali, Hanif D. & Bish, Ebru K. & Zhu, Xiaomei, 2006. "Airline fleet assignment concepts, models, and algorithms," European Journal of Operational Research, Elsevier, vol. 172(1), pages 1-30, July.
    3. Keji Wei & Vikrant Vaze, 2020. "Airline Timetable Development and Fleet Assignment Incorporating Passenger Choice," Transportation Science, INFORMS, vol. 54(1), pages 139-163, January.
    4. Hanif D. Sherali & Ebru K. Bish & Xiaomei Zhu, 2005. "Polyhedral Analysis and Algorithms for a Demand-Driven Refleeting Model for Aircraft Assignment," Transportation Science, INFORMS, vol. 39(3), pages 349-366, August.
    5. Warburg, Valdemar & Gotsæd Hansen, Troels & Larsen, Allan & Norman, Hans & Andersson, Erik, 2008. "Dynamic airline scheduling: An analysis of the potentials of refleeting and retiming," Journal of Air Transport Management, Elsevier, vol. 14(4), pages 163-167.
    6. João P. Pita & Cynthia Barnhart & António P. Antunes, 2013. "Integrated Flight Scheduling and Fleet Assignment Under Airport Congestion," Transportation Science, INFORMS, vol. 47(4), pages 477-492, November.
    7. Belanger, Nicolas & Desaulniers, Guy & Soumis, Francois & Desrosiers, Jacques, 2006. "Periodic airline fleet assignment with time windows, spacing constraints, and time dependent revenues," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1754-1766, December.
    8. Sriram, Chellappan & Haghani, Ali, 2003. "An optimization model for aircraft maintenance scheduling and re-assignment," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(1), pages 29-48, January.
    9. D’Alfonso, Tiziana & Jiang, Changmin & Bracaglia, Valentina, 2016. "Air transport and high-speed rail competition: Environmental implications and mitigation strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 92(C), pages 261-276.
    10. Jiang, Changmin & D'Alfonso, Tiziana & Wan, Yulai, 2017. "Air-rail cooperation: Partnership level, market structure and welfare implications," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 461-482.
    11. Barry C. Smith & Ellis L. Johnson, 2006. "Robust Airline Fleet Assignment: Imposing Station Purity Using Station Decomposition," Transportation Science, INFORMS, vol. 40(4), pages 497-516, November.
    12. Ladislav Lettovský & Ellis L. Johnson & George L. Nemhauser, 2000. "Airline Crew Recovery," Transportation Science, INFORMS, vol. 34(4), pages 337-348, November.
    13. Koo, Tay T.R. & Hossein Rashidi, Taha & Park, Jin-Woo & Wu, Cheng-Lung & Tseng, Wen-Chun, 2017. "The effect of enhanced international air access on the demand for peripheral tourism destinations: Evidence from air itinerary choice behaviour of Korean visitors to Australia," Transportation Research Part A: Policy and Practice, Elsevier, vol. 106(C), pages 116-129.
    14. Smirti Ryerson, Megan & Hansen, Mark, 2009. "Capturing the Impact of Fuel Price on Jet Aircraft Operating Costs with Engineering and Econometric Models," University of California Transportation Center, Working Papers qt43v655js, University of California Transportation Center.
    15. Givoni, Moshe & Rietveld, Piet, 2009. "Airline's choice of aircraft size - Explanations and implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(5), pages 500-510, June.
    16. Luis Cadarso & Vikrant Vaze & Cynthia Barnhart & Ángel Marín, 2017. "Integrated Airline Scheduling: Considering Competition Effects and the Entry of the High Speed Rail," Transportation Science, INFORMS, vol. 51(1), pages 132-154, February.
    17. Ko, Young Dae, 2019. "The airfare pricing and seat allocation problem in full-service carriers and subsidiary low-cost carriers," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 92-102.
    18. Verhoef, Erik T., 2010. "Congestion pricing, slot sales and slot trading in aviation," Transportation Research Part B: Methodological, Elsevier, vol. 44(3), pages 320-329, March.
    19. Adeline Montlaur & Luis Delgado & César Trapote-Barreira, 2021. "Analytical Models for CO 2 Emissions and Travel Time for Short-to-Medium-Haul Flights Considering Available Seats," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
    20. Cynthia Barnhart & Timothy S. Kniker & Manoj Lohatepanont, 2002. "Itinerary-Based Airline Fleet Assignment," Transportation Science, INFORMS, vol. 36(2), pages 199-217, May.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:hiclch:209351. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://hicl.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.