IDEAS home Printed from https://ideas.repec.org/a/pal/jorapm/v15y2016i5d10.1057_rpm.2016.29.html
   My bibliography  Save this article

Demand driven dispatch and revenue management in a competitive network environment

Author

Listed:
  • Daniel Fry

    (Alaska Airlines Corporate Office)

  • Peter Belobaba

    (MIT International Center for Air Transportation)

Abstract

Demand Driven Dispatch (D3) is the reassignment of aircraft to flights close to departure to improve operating profitability, primarily by utilizing improved knowledge of expected demand from the airline’s revenue management (RM) system. Previous studies of D3 have not incorporated competition and have typically ignored or significantly simplified RM. In this study, the implementation of D3 is tested with complete representations of RM systems in a network environment with competition. Results are from the Passenger Origin Destination Simulator, where stochastic demand by market chooses between competing airlines with alternative schedules and fare products. Findings include important competitive feedback effects from D3 and insights about relationships between D3 and both RM and pricing. Our findings indicate that the benefits of D3 can be estimated at operating profit gains of 0.04–2.03 per cent, revenue gains of 0.02–0.88 per cent, and changes in operating costs of −0.08 to 0.13 per cent. However, use of D3 may harm competitor airlines more than it aids the implementer. D3 swaps early in the booking process can lead to heavy dilution. Late swaps lead to smaller increases in loads but substantial increases in revenue. The relationship between revenue-maximization and cost-minimization in profit-maximizing D3 is highly influenced by the timing of swaps and revenue estimation.

Suggested Citation

  • Daniel Fry & Peter Belobaba, 2016. "Demand driven dispatch and revenue management in a competitive network environment," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(5), pages 380-398, October.
  • Handle: RePEc:pal:jorapm:v:15:y:2016:i:5:d:10.1057_rpm.2016.29
    DOI: 10.1057/rpm.2016.29
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/rpm.2016.29
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1057/rpm.2016.29?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wang, Xiubin & Meng, Qiang, 2008. "Continuous-time dynamic network yield management with demand driven dispatch in the airline industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 44(6), pages 1052-1073, November.
    2. Ebru K. Bish & Rawee Suwandechochai & Douglas R. Bish, 2004. "Strategies for managing the flexible capacity in the airline industry," Naval Research Logistics (NRL), John Wiley & Sons, vol. 51(5), pages 654-685, August.
    3. Matthew E. Berge & Craig A. Hopperstad, 1993. "Demand Driven Dispatch: A Method for Dynamic Aircraft Capacity Assignment, Models and Algorithms," Operations Research, INFORMS, vol. 41(1), pages 153-168, February.
    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. Hai Jiang & Cynthia Barnhart, 2009. "Dynamic Airline Scheduling," Transportation Science, INFORMS, vol. 43(3), pages 336-354, August.
    6. Pilla, Venkata L. & Rosenberger, Jay M. & Chen, Victoria & Engsuwan, Narakorn & Siddappa, Sheela, 2012. "A multivariate adaptive regression splines cutting plane approach for solving a two-stage stochastic programming fleet assignment model," European Journal of Operational Research, Elsevier, vol. 216(1), pages 162-171.
    7. Wang, Xiubin & Regan, Amelia, 2006. "Dynamic yield management when aircraft assignments are subject to swap," Transportation Research Part B: Methodological, Elsevier, vol. 40(7), pages 563-576, August.
    8. 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.
    9. Peter P. Belobaba, 1989. "OR Practice—Application of a Probabilistic Decision Model to Airline Seat Inventory Control," Operations Research, INFORMS, vol. 37(2), pages 183-197, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Abdelghany, Ahmed & Abdelghany, Khaled & Azadian, Farshid, 2023. "The airline seat capacity allocation problem: An expected marginal profit approach," Journal of Air Transport Management, Elsevier, vol. 112(C).
    2. He, Wen, 2019. "Impact of capacity flexibility on the use of booking limits," European Journal of Operational Research, Elsevier, vol. 274(1), pages 199-213.

    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. 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.
    2. Ben Vinod, 2016. "Evolution of yield management in travel," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(3), pages 203-211, July.
    3. Catherine Cleophas & Daniel Kadatz & Sebastian Vock, 2017. "Resilient revenue management: a literature survey of recent theoretical advances," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 16(5), pages 483-498, October.
    4. Hanif Sherali & Ki-Hwan Bae & Mohamed Haouari, 2013. "A benders decomposition approach for an integrated airline schedule design and fleet assignment problem with flight retiming, schedule balance, and demand recapture," Annals of Operations Research, Springer, vol. 210(1), pages 213-244, November.
    5. Douglas R. Bish & Ebru K. Bish & Lingrui Liao & Juqi Liu, 2011. "Revenue management with aircraft reassignment flexibility," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(2), pages 136-152, March.
    6. Christina Büsing & Daniel Kadatz & Catherine Cleophas, 2019. "Capacity Uncertainty in Airline Revenue Management: Models, Algorithms, and Computations," Transportation Science, INFORMS, vol. 53(2), pages 383-400, March.
    7. Hai Jiang & Cynthia Barnhart, 2009. "Dynamic Airline Scheduling," Transportation Science, INFORMS, vol. 43(3), pages 336-354, August.
    8. Gönsch, Jochen, 2017. "A survey on risk-averse and robust revenue management," European Journal of Operational Research, Elsevier, vol. 263(2), pages 337-348.
    9. Hanif D. Sherali & Xiaomei Zhu, 2008. "Two-Stage Fleet Assignment Model Considering Stochastic Passenger Demands," Operations Research, INFORMS, vol. 56(2), pages 383-399, April.
    10. He, Wen, 2019. "Impact of capacity flexibility on the use of booking limits," European Journal of Operational Research, Elsevier, vol. 274(1), pages 199-213.
    11. Wang, Xiubin & Regan, Amelia, 2006. "Dynamic yield management when aircraft assignments are subject to swap," Transportation Research Part B: Methodological, Elsevier, vol. 40(7), pages 563-576, August.
    12. Qiang Meng & Shuaian Wang & Henrik Andersson & Kristian Thun, 2014. "Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions," Transportation Science, INFORMS, vol. 48(2), pages 265-280, May.
    13. Benoit Lardeux & Gabrielle Sabatier & Thierry Delahaye & Mourad Boudia & Odile Tonnet & Pierre Mathieu, 2019. "Yield optimization for airlines from ticket resell," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(3), pages 213-227, June.
    14. Camila Ramos & Alejandro Cataldo & Juan–Carlos Ferrer, 2020. "Appointment and patient scheduling in chemotherapy: a case study in Chilean hospitals," Annals of Operations Research, Springer, vol. 286(1), pages 411-439, March.
    15. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    16. Şafak, Özge & Çavuş, Özlem & Aktürk, M. Seli̇m, 2022. "A two-stage decision dependent stochastic approach for airline flight network expansion," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 78-101.
    17. Hanif D. Sherali & Ki-Hwan Bae & Mohamed Haouari, 2010. "Integrated Airline Schedule Design and Fleet Assignment: Polyhedral Analysis and Benders' Decomposition Approach," INFORMS Journal on Computing, INFORMS, vol. 22(4), pages 500-513, November.
    18. Dachuan Shih & Seoung Kim & Victoria Chen & Jay Rosenberger & Venkata Pilla, 2014. "Efficient computer experiment-based optimization through variable selection," Annals of Operations Research, Springer, vol. 216(1), pages 287-305, May.
    19. Abdelghany, Ahmed & Abdelghany, Khaled & Azadian, Farshid, 2023. "The airline seat capacity allocation problem: An expected marginal profit approach," Journal of Air Transport Management, Elsevier, vol. 112(C).
    20. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, 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:pal:jorapm:v:15:y:2016:i:5:d:10.1057_rpm.2016.29. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.palgrave.com .

    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.