IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v96y1997i1p36-44.html
   My bibliography  Save this article

Air cargo revenue management: Characteristics and complexities

Author

Listed:
  • Kasilingam, R. G.

Abstract

No abstract is available for this item.

Suggested Citation

  • Kasilingam, R. G., 1997. "Air cargo revenue management: Characteristics and complexities," European Journal of Operational Research, Elsevier, vol. 96(1), pages 36-44, January.
    • Handle: RePEc:eee:ejores:v:96:y:1997:i:1:p:36-44
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0377-2217(95)00329-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. S. L. Brumelle & J. I. McGill, 1993. "Airline Seat Allocation with Multiple Nested Fare Classes," Operations Research, INFORMS, vol. 41(1), pages 127-137, February.
    2. Marshall L. Fisher, 1981. "The Lagrangian Relaxation Method for Solving Integer Programming Problems," Management Science, INFORMS, vol. 27(1), pages 1-18, January.
    3. Renwick E. Curry, 1990. "Optimal Airline Seat Allocation with Fare Classes Nested by Origins and Destinations," Transportation Science, INFORMS, vol. 24(3), pages 193-204, August.
    4. Bodily, S. E. & Pfeifer, P. E., 1992. "Overbooking decision rules," Omega, Elsevier, vol. 20(1), pages 129-133, January.
    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. Masato Wada & Felipe Delgado & Bernardo K. Pagnoncelli, 2017. "A risk averse approach to the capacity allocation problem in the airline cargo industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(6), pages 643-651, June.
    2. Lei Xu & Govindan Kannan & Xiaoli Yang & Jian Li & Xiukun Zhao, 2013. "Pricing and Allotment in a Sea-Cargo Supply Chain with Reference Effect: A Dynamic Game Approach," Discrete Dynamics in Nature and Society, Hindawi, vol. 2013, pages 1-10, March.
    3. Bilegan, Ioana C. & Crainic, Teodor Gabriel & Wang, Yunfei, 2022. "Scheduled service network design with revenue management considerations and an intermodal barge transportation illustration," European Journal of Operational Research, Elsevier, vol. 300(1), pages 164-177.
    4. Hee Kyung Kim & Chang Won Lee, 2019. "Development of a Cost Forecasting Model for Air Cargo Service Delay Due to Low Visibility," Sustainability, MDPI, vol. 11(16), pages 1-14, August.
    5. Xueyi Guan & Jin Qin & Chenghui Mao & Wenliang Zhou, 2023. "A Literature Review of Railway Pricing Based on Revenue Management," Mathematics, MDPI, vol. 11(4), pages 1-17, February.
    6. Delgado, Felipe & Trincado, Ricardo & Pagnoncelli, Bernardo K., 2019. "A multistage stochastic programming model for the network air cargo allocation under capacity uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 292-307.
    7. Bo Feng & Jixin Zhao & Zheyu Jiang, 2022. "Robust pricing for airlines with partial information," Annals of Operations Research, Springer, vol. 310(1), pages 49-87, March.
    8. Ching-Cheng Chao & Taih-Cherng Lirn & Kuo-Chung Shang, 2013. "Market segmentation of airline cargo transport," The Service Industries Journal, Taylor & Francis Journals, vol. 33(15-16), pages 1672-1685, December.
    9. Luo, Sirong & Çakany?ld?r?m, Metin & Kasilingam, Raja G., 2009. "Two-dimensional cargo overbooking models," European Journal of Operational Research, Elsevier, vol. 197(3), pages 862-883, September.
    10. 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.
    11. Chen, Bo & Zhang, Xiandong, 2019. "Scheduling with time-of-use costs," European Journal of Operational Research, Elsevier, vol. 274(3), pages 900-908.
    12. 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.
    13. Lin, Danping & Lee, Carman Ka Man & Yang, Jilin, 2017. "Air cargo revenue management under buy-back policy," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 53-63.
    14. Bin Qiao & Shenle Pan & Eric Ballot, 2016. "Less-than-truckload Dynamic Pricing Model in Physical Internet," Post-Print hal-01326416, HAL.
    15. Delgado, Felipe & Sirhan, Cristóbal & Katscher, Mathias & Larrain, Homero, 2020. "Recovering from demand disruptions on an air cargo network," Journal of Air Transport Management, Elsevier, vol. 85(C).
    16. Ozgun Caliskan Demirag & Julie L. Swann, 2007. "Capacity allocation to sales agents in a decentralized logistics network," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(7), pages 796-810, October.
    17. Bin Qiao & Shenle Pan & Eric Ballot, 2019. "Dynamic pricing model for less-than-truckload carriers in the Physical Internet," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2631-2643, October.
    18. Carman K.M. Lee & Shuzhu Zhang & Kam K.H. Ng, 2019. "Design of An Integration Model for Air Cargo Transportation Network Design and Flight Route Selection," Sustainability, MDPI, vol. 11(19), pages 1-12, September.

    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. Chatwin, Richard E., 2000. "Optimal dynamic pricing of perishable products with stochastic demand and a finite set of prices," European Journal of Operational Research, Elsevier, vol. 125(1), pages 149-174, August.
    2. Popovic, Jovan & Teodorovic, Dusan, 1997. "An adaptive method for generating demand inputs to airline seat inventory control models," Transportation Research Part B: Methodological, Elsevier, vol. 31(2), pages 159-175, April.
    3. Mihai Banciu & Fredrik Ødegaard & Alia Stanciu, 2019. "Distribution-free bounds for the expected marginal seat revenue heuristic with dependent demands," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 155-163, April.
    4. 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.
    5. Yingjie Lan & Huina Gao & Michael O. Ball & Itir Karaesmen, 2008. "Revenue Management with Limited Demand Information," Management Science, INFORMS, vol. 54(9), pages 1594-1609, September.
    6. Sumit Kunnumkal & Huseyin Topaloglu, 2009. "A stochastic approximation method for the single-leg revenue management problem with discrete demand distributions," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 70(3), pages 477-504, December.
    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. Pak, K. & Piersma, N., 2002. "airline revenue management," ERIM Report Series Research in Management ERS-2002-12-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Pak, K. & Piersma, N., 2002. "Airline revenue management: an overview of OR techniques 1982-2001," Econometric Institute Research Papers EI 2002-03, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Weigand, Robert E., 1999. "Yield management: Filling buckets, papering the house," Business Horizons, Elsevier, vol. 42(5), pages 55-64.
    11. Robert A. Shumsky & Fuqiang Zhang, 2009. "Dynamic Capacity Management with Substitution," Operations Research, INFORMS, vol. 57(3), pages 671-684, June.
    12. Kavitha Balaiyan & R. K. Amit & Atul Kumar Malik & Xiaodong Luo & Amit Agarwal, 2019. "Joint forecasting for airline pricing and revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(6), pages 465-482, December.
    13. David Sayah & Stefan Irnich, 2019. "Optimal booking control in revenue management with two substitutable resources," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 89(2), pages 189-222, April.
    14. William L. Cooper & Diwakar Gupta, 2006. "Stochastic Comparisons in Airline Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 8(3), pages 221-234, February.
    15. Youyi Feng & Baichun Xiao, 2001. "A Dynamic Airline Seat Inventory Control Model and Its Optimal Policy," Operations Research, INFORMS, vol. 49(6), pages 938-949, December.
    16. William L. Cooper & Tito Homem-de-Mello & Anton J. Kleywegt, 2006. "Models of the Spiral-Down Effect in Revenue Management," Operations Research, INFORMS, vol. 54(5), pages 968-987, October.
    17. Felix Papier, 2016. "Supply Allocation Under Sequential Advance Demand Information," Operations Research, INFORMS, vol. 64(2), pages 341-361, April.
    18. Gustavo Vulcano & Garrett van Ryzin & Costis Maglaras, 2002. "Optimal Dynamic Auctions for Revenue Management," Management Science, INFORMS, vol. 48(11), pages 1388-1407, November.
    19. Pentico, David W., 2008. "The assortment problem: A survey," European Journal of Operational Research, Elsevier, vol. 190(2), pages 295-309, October.
    20. Syed Asif Raza & Rafi Ashrafi & Ali Akgunduz, 2020. "A bibliometric analysis of revenue management in airline industry," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(6), pages 436-465, December.

    More about this item

    Statistics

    Access and download statistics

    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:eee:ejores:v:96:y:1997:i:1:p:36-44. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.