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A tractable consideration set structure for network revenue management

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  • Arne Strauss
  • Kalyan Talluri

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    Abstract

    Models incorporating more realistic models of customer behavior, as customers choosing from an offer set, have recently become popular in assortment optimization and revenue management. The dynamic program for these models is intractable and approximated by a deterministic linear program called the CDLP which has an exponential number of columns. When there are products that are being considered for purchase by more than one customer segment, CDLP is difficult to solve since column generation is known to be NP-hard. However, recent research indicates that a formulation based on segments with cuts imposing consistency (SDCP+) is tractable and approximates the CDLP value very closely. In this paper we investigate the structure of the consideration sets that make the two formulations exactly equal. We show that if the segment consideration sets follow a tree structure, CDLP = SDCP+. We give a counterexample to show that cycles can induce a gap between the CDLP and the SDCP+ relaxation. We derive two classes of valid inequalities called flow and synchronization inequalities to further improve (SDCP+), based on cycles in the consideration set structure. We give a numeric study showing the performance of these cycle-based cuts.

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    Bibliographic Info

    Paper provided by Department of Economics and Business, Universitat Pompeu Fabra in its series Economics Working Papers with number 1303.

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    Date of creation: Feb 2012
    Date of revision: Oct 2012
    Handle: RePEc:upf:upfgen:1303

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    Web page: http://www.econ.upf.edu/

    Related research

    Keywords: discrete-choice models; network revenue management; consideration sets;

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    References

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    1. Joern Meissner & Arne Strauss, 2008. "Network Revenue Management with Inventory-Sensitive Bid Prices and Customer Choice," Working Papers MRG/0008, Department of Management Science, Lancaster University, revised Apr 2010.
    2. Joern Meissner & Arne Strauss & Kalyan Talluri, 2011. "An Enhanced Concave Program Relaxation for Choice Network Revenue Management," Working Papers 534, Barcelona Graduate School of Economics.
    3. Tudor Bodea & Mark Ferguson & Laurie Garrow, 2009. "Data Set--Choice-Based Revenue Management: Data from a Major Hotel Chain," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 356-361, December.
    4. Kalyan Talluri & Garrett van Ryzin, 2004. "Revenue Management Under a General Discrete Choice Model of Consumer Behavior," Management Science, INFORMS, vol. 50(1), pages 15-33, January.
    5. Qian Liu & Garrett van Ryzin, 2008. "On the Choice-Based Linear Programming Model for Network Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 10(2), pages 288-310, October.
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    Cited by:
    1. Summit Kunnumkal & Kalyan Talluri, 2012. "A New Compact Linear Programming Formulation for Choice Network Revenue Management," Working Papers 677, Barcelona Graduate School of Economics.
    2. Sumit Kunnumkal & Kalyan Talluri, 2012. "A new compact linear programming formulation for choice network revenue management," Economics Working Papers 1349, Department of Economics and Business, Universitat Pompeu Fabra.

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