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An Overview of Pricing Models for Revenue Management

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  • Gabriel Bitran

    ()
    (Sloan School of Management, MIT, Cambridge, Massachusetts 02139)

  • René Caldentey

    ()
    (Stern School of Business, New York University, New York, New York 10012)

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    Abstract

    In this paper, we examine the research and results of dynamic pricing policies and their relation to revenue management. The survey is based on a generic revenue management problem in which a perishable and nonrenewable set of resources satisfy stochastic price sensitive demand processes over a finite period of time. In this class of problems, the owner (or the seller) of these resources uses them to produce and offer a menu of final products to the end customers. Within this context, we formulate the stochastic control problem of capacity that the seller faces: How to dynamically set the menu and the quantity of products and their corresponding prices to maximize the total revenue over the selling horizon.

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    File URL: http://dx.doi.org/10.1287/msom.5.3.203.16031
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    Bibliographic Info

    Article provided by INFORMS in its journal Manufacturing & Service Operations Management.

    Volume (Year): 5 (2003)
    Issue (Month): 3 (August)
    Pages: 203-229

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    Handle: RePEc:inm:ormsom:v:5:y:2003:i:3:p:203-229

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    Related research

    Keywords: Revenue Management; Dynamic Pricing;

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    Cited by:
    1. Christou, Charalambos & Kotseva, Rossitsa & Vettas, Nikolaos, 2007. "Pricing, Investments and Mergers with Intertemporal Capacity Constraints," CEPR Discussion Papers 6433, C.E.P.R. Discussion Papers.
    2. Gershkov, Alex & Moldovanu, Benny, 2007. "The Dynamic Assignment of Heterogenous Objects: A Mechanism Design Approach," CEPR Discussion Papers 6439, C.E.P.R. Discussion Papers.
    3. C. Barz & K. Waldmann, 2007. "Risk-sensitive capacity control in revenue management," Computational Statistics, Springer, vol. 65(3), pages 565-579, June.
    4. Xiong, Yu & Li, Gendao & Zhou, Yu & Fernandes, Kiran & Harrison, Richard & Xiong, Zhongkai, 2014. "Dynamic pricing models for used products in remanufacturing with lost-sales and uncertain quality," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 678-688.
    5. Alex Gershkov & Benny Moldovanu, 2009. "Dynamic Revenue Maximization with Heterogeneous Objects: A Mechanism Design Approach," American Economic Journal: Microeconomics, American Economic Association, vol. 1(2), pages 168-98, August.
    6. Chen, Jing & Wang, Jian & Bell, Peter C., 2014. "Lease expiration management for a single lease term in the apartment industry," European Journal of Operational Research, Elsevier, vol. 238(1), pages 233-244.
    7. Benny Moldovanu & Alex Gershkov, 2008. "The Trade-off Between Fast Learning and Dynamic Efficiency," 2008 Meeting Papers 348, Society for Economic Dynamics.
    8. Constantinos Maglaras & Joern Meissner, 2003. "Dynamic Pricing Strategies for Multi-Product Revenue Management Problems," Working Papers MRG/0002, Department of Management Science, Lancaster University, revised Nov 2005.
    9. Dixit, Ashutosh & Whipple, Thomas W. & Zinkhan, George M. & Gailey, Edward, 2008. "A taxonomy of information technology-enhanced pricing strategies," Journal of Business Research, Elsevier, vol. 61(4), pages 275-283, April.
    10. Mak, Vincent & Rapoport, Amnon & Gisches, Eyran J., 2012. "Competitive dynamic pricing with alternating offers: Theory and experiment," Games and Economic Behavior, Elsevier, vol. 75(1), pages 250-264.
    11. Hung, Yi-Feng & Lee, Tzu-Yuan, 2010. "Capacity rationing decision procedures with order profit as a continuous random variable," International Journal of Production Economics, Elsevier, vol. 125(1), pages 125-136, May.
    12. Helmes, Kurt L. & Schlosser, Rainer, 2013. "Dynamic advertising and pricing with constant demand elasticities," Journal of Economic Dynamics and Control, Elsevier, vol. 37(12), pages 2814-2832.
    13. Transchel, Sandra & Minner, Stefan, 2011. "Economic lot-sizing and dynamic quantity competition," International Journal of Production Economics, Elsevier, vol. 133(1), pages 416-422, September.
    14. Tsai, Wen-Hsien & Hung, Shih-Jieh, 2009. "Dynamic pricing and revenue management process in Internet retailing under uncertainty: An integrated real options approach," Omega, Elsevier, vol. 37(2), pages 471-481, April.
    15. Kuo, Chia-Wei & Huang, Kwei-Long, 2012. "Dynamic pricing of limited inventories for multi-generation products," European Journal of Operational Research, Elsevier, vol. 217(2), pages 394-403.
    16. Weaver, Robert D. & Moon, Yongma, 2011. "Pricing Perishables," 2011 International European Forum, February 14-18, 2011, Innsbruck-Igls, Austria 122007, International European Forum on Innovation and System Dynamics in Food Networks.
    17. Fleischmann, M. & Hall, J.M. & Pyke, D.F., 2005. "A Dynamic Pricing Model for Coordinated Sales and Operations," ERIM Report Series Research in Management ERS-2005-074-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 Uni.
    18. Rana, Rupal & Oliveira, Fernando S., 2014. "Real-time dynamic pricing in a non-stationary environment using model-free reinforcement learning," Omega, Elsevier, vol. 47(C), pages 116-126.
    19. Charalambos Christou & Rossitsa Kotseva & Nikolaos Vettas, 2009. "Pricing, Investments and Mergers with Intertemporal Capacity Constraints," Discussion Paper Series 2009_06, Department of Economics, University of Macedonia, revised Mar 2009.
    20. Cao, Ping & Li, Jianbin & Yan, Hong, 2012. "Optimal dynamic pricing of inventories with stochastic demand and discounted criterion," European Journal of Operational Research, Elsevier, vol. 217(3), pages 580-588.
    21. Tang, Christopher S., 2010. "A review of marketing-operations interface models: From co-existence to coordination and collaboration," International Journal of Production Economics, Elsevier, vol. 125(1), pages 22-40, May.
    22. Chen, Jing & Bell, Peter C., 2009. "The impact of customer returns on pricing and order decisions," European Journal of Operational Research, Elsevier, vol. 195(1), pages 280-295, May.

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