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From Revenue Management Concepts to Software Systems

Author

Listed:
  • Nicola Secomandi

    (School of Civil and Environmental Engineering, Hollister Hall, Cornell University, Ithaca, New York 14853)

  • Kirk Abbott

    (PROS Revenue Management, Inc., 3100 Main Street, Suite 900, Houston, Texas 77002)

  • Tankut Atan

    (PROS Revenue Management, Inc., 3100 Main Street, Suite 900, Houston, Texas 77002)

  • E. Andrew Boyd

    (PROS Revenue Management, Inc., 3100 Main Street, Suite 900, Houston, Texas 77002)

Abstract

In 1999, after developing and installing over 170 revenue management (RM) systems for more than 70 airlines, PROS Revenue Management, Inc. had the opportunity to develop RM systems for three companies in nonairline industries. PROS research and design department designed the opportunity analysis study (OAS), a mix of OR/MS, consulting, and software development practices to determine the applicability of RM in new business situations. PROS executed OASs with the three companies. In all three cases, the OAS supported the value of RM and led to contracts for implementation of RM systems.

Suggested Citation

  • Nicola Secomandi & Kirk Abbott & Tankut Atan & E. Andrew Boyd, 2002. "From Revenue Management Concepts to Software Systems," Interfaces, INFORMS, vol. 32(2), pages 1-11, April.
    • Handle: RePEc:inm:orinte:v:32:y:2002:i:2:p:1-11
    DOI: 10.1287/inte.32.2.1.65
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    References listed on IDEAS

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    1. Barry C. Smith & John F. Leimkuhler & Ross M. Darrow, 1992. "Yield Management at American Airlines," Interfaces, INFORMS, vol. 22(1), pages 8-31, February.
    2. Jeffrey I. McGill & Garrett J. van Ryzin, 1999. "Revenue Management: Research Overview and Prospects," Transportation Science, INFORMS, vol. 33(2), pages 233-256, May.
    3. Michael H. Rothkopf & Ronald M. Harstad, 1994. "Modeling Competitive Bidding: A Critical Essay," Management Science, INFORMS, vol. 40(3), pages 364-384, March.
    4. Robert B. Fetter, 1991. "Diagnosis Related Groups: Understanding Hospital Performance," Interfaces, INFORMS, vol. 21(1), pages 6-26, February.
    5. Michael Pidd, 1999. "Just Modeling Through: A Rough Guide to Modeling," Interfaces, INFORMS, vol. 29(2), pages 118-132, April.
    6. Lawrence R. Weatherford & Samuel E. Bodily, 1992. "A Taxonomy and Research Overview of Perishable-Asset Revenue Management: Yield Management, Overbooking, and Pricing," Operations Research, INFORMS, vol. 40(5), pages 831-844, October.
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    Cited by:

    1. Sunder Kekre & Nicola Secomandi & Erkut Sönmez & Kenneth West, 2009. "OM Practice--Balancing Risk and Efficiency at a Major Commercial Bank," Manufacturing & Service Operations Management, INFORMS, vol. 11(1), pages 160-173, December.
    2. Yuri Levin & Jeff McGill & Mikhail Nediak, 2008. "Risk in Revenue Management and Dynamic Pricing," Operations Research, INFORMS, vol. 56(2), pages 326-343, April.
    3. Alec Morton, 2006. "Structural properties of network revenue management models: An economic perspective," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(8), pages 748-760, December.
    4. Nicola Secomandi, 2010. "On the Pricing of Natural Gas Pipeline Capacity," Manufacturing & Service Operations Management, INFORMS, vol. 12(3), pages 393-408, October.
    5. E. Andrew Boyd & Ioana C. Bilegan, 2003. "Revenue Management and E-Commerce," Management Science, INFORMS, vol. 49(10), pages 1363-1386, October.

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