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Optimal Baggage-Limit Policy: Airline Passenger and Cargo Allocation

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  • Wai Hung Wong

    (Department of Decision Sciences and Managerial Economics, Chinese University of Hong Kong, Shatin, N. T., Hong Kong)

  • Anming Zhang

    (Sauder School of Business, University of British Columbia, Vancouver, British Columbia V6T IZ2, Canada)

  • Yer Van Hui

    (Department of Management Sciences, City University of Hong Kong, Kowloon, Hong Kong)

  • Lawrence C. Leung

    (Department of Decision Sciences and Managerial Economics, Chinese University of Hong Kong, Shatin, N. T., Hong Kong)

Abstract

Although air carriers derive revenue from both passengers and cargo, the majority of the literature on airline management has focused on passengers. With the rapid growth in air freight, more studies are needed to examine the growing impact of air freight on air transportation. This paper addresses the optimal baggage-limit policy for airlines. Because much of the cargo is currently transported in the residual aircraft belly space after all of the passenger baggage has been enplaned, it is important for carriers to plan passenger and cargo levels together when setting passenger baggage limits. We formulate this problem as a variant of the price-dependent multi-item newsvendor model with weight-volume capacity constraints. The effects of baggage weight, prices, and costs on the number of passengers and amount of cargo carried are studied. Based on the model and carriers' existing practice, we develop several illustrative cases. Our findings suggest that airlines may be able to increase profits with significant reductions in passenger baggage limits for large aircraft.

Suggested Citation

  • Wai Hung Wong & Anming Zhang & Yer Van Hui & Lawrence C. Leung, 2009. "Optimal Baggage-Limit Policy: Airline Passenger and Cargo Allocation," Transportation Science, INFORMS, vol. 43(3), pages 355-369, August.
  • Handle: RePEc:inm:ortrsc:v:43:y:2009:i:3:p:355-369
    DOI: 10.1287/trsc.1090.0266
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    References listed on IDEAS

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    3. Bo Feng & Zheyu Jiang & Fujun Lai, 2020. "Robust approach for air cargo freight forwarder selection under disruption," Annals of Operations Research, Springer, vol. 291(1), pages 339-360, August.
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    6. Jianghua Zhang & Daniel Zhuoyu Long & Rowan Wang & Chi Xie, 2021. "Impact of Penalty Cost on Customers' Booking Decisions," Production and Operations Management, Production and Operations Management Society, vol. 30(6), pages 1603-1614, June.
    7. Shaban, I.A. & Wang, Z.X. & Chan, F.T.S. & Chung, S.H. & Eltoukhy, A.E.E. & Qu, T., 2019. "Price setting for extra-baggage service for a combination carrier using the newsvendor setup," Journal of Air Transport Management, Elsevier, vol. 78(C), pages 1-14.
    8. Simon Emde & Hamid Abedinnia & Anne Lange & Christoph H. Glock, 2020. "Scheduling personnel for the build-up of unit load devices at an air cargo terminal with limited space," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(2), pages 397-426, June.
    9. Zou, Li & Yu, Chunyan & Dresner, Martin, 2013. "The application of inventory transshipment modeling to air cargo revenue management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 57(C), pages 27-44.
    10. Yuen, Andrew & Zhang, Anming & Hui, Yer Van & Leung, Lawrence C. & Fung, Michael, 2017. "Is developing air cargo airports in the hinterland the way of the future?," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 15-25.
    11. Feng, Bo & Li, Yanzhi & Shen, Huaxiao, 2015. "Tying mechanism for airlines’ air cargo capacity allocation," European Journal of Operational Research, Elsevier, vol. 244(1), pages 322-330.
    12. Ødegaard, Fredrik & Wilson, John G., 2016. "Dynamic pricing of primary products and ancillary services," European Journal of Operational Research, Elsevier, vol. 251(2), pages 586-599.
    13. Chew, Ek Peng & Lee, Chulung & Liu, Rujing & Hong, Ki-sung & Zhang, Anming, 2014. "Optimal dynamic pricing and ordering decisions for perishable products," International Journal of Production Economics, Elsevier, vol. 157(C), pages 39-48.
    14. Zhao, Li & Tian, Peng & Xiangyong Li, 2012. "Dynamic pricing in the presence of consumer inertia," Omega, Elsevier, vol. 40(2), pages 137-148, April.
    15. Achim I. Czerny & Erik T. Verhoef & Anming Zhang, 2015. "A Theory of Continuous Uncertainty Types," Tinbergen Institute Discussion Papers 15-065/VIII, Tinbergen Institute.

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