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Evolution of yield management in travel

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Journal of Revenue and Pricing Management Aims and scope

Abstract

Yield management came into existence on a significant scale a few years after the deregulation of the US airline industry in 1978. This article reviews the evolution of yield management in the airline industry and how it has influenced a range of travel related adjacent service industries with perishable inventory such as hotels, rental car and cruise lines. Current trends and new value propositions in pricing and yield management are also addressed.

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References

  • Anderson, C. (2012) The impact of social media on lodging performance. The Center for Hospitality Research, Cornell University 12 (5): 4–11.

    Google Scholar 

  • Belobaba, P.P. (1987) Air Travel Demand and Airline Seat Inventory Management. Cambridge, MA: MIT publication. MIT Flight Transportation Laboratory Report R87-7.

  • Belobaba, P.P. (1989) Application of a probabilistic decision model to airline seat inventory control. Operations Research 37 (2): 183–197.

    Article  Google Scholar 

  • Belobaba, P.P. (1992) Optimal vs Heuristic Methods for Nested Seat Allocation. AGIFORS Yield Management Study Group, Brussels, Belgium, 4 May.

  • Berge, M.E. and Hopperstad, C.A. (1993) Demand driven dispatch: A method for dynamic aircraft capacity assignment models and algorithms. Operations Research 41 (1): 153–168.

    Article  Google Scholar 

  • Blankenbaker, J.B. and Mishra, S. (2009) Paid search for online travel agencies: Exploring strategies for search keywords. Journal of Revenue and Pricing Management 9 (2–3): 155–165.

    Article  Google Scholar 

  • Boyd, E.A. and Kallesen, R. (2004) The science of revenue management when passengers purchase the lowest fare. Journal of Revenue and Pricing Management 3 (2): 171–174.

    Article  Google Scholar 

  • Carroll, W.J. and Grimes, R.C. (1995) Evolutionary change in product management: Experiences in the car rental industry. Interfaces 25 (5): 84–104.

    Article  Google Scholar 

  • Clarke, M. (2003) Getting back on track: Researchers have developed new solutions to help airlines recover from off schedule operations. Ascend 2 (2): 72–74.

    Google Scholar 

  • Cook, T.M. (1998) SABRE SOARS, OR/MS Today, 26–31 June.

  • Crandall, R.L. (1995) The Unique U.S. Airline Industry, Aviation Daily’s Handbook of Airline Economics, Washington DC: McGraw Hill, September.

  • Cross, R.G. (1997) Revenue Management. New York: Broadway Books.

    Google Scholar 

  • Cummings, N. (2007) Yield Management – Early beginnings to present day application. British Operational Research Society (January), Inside O.R.

  • Curry, R. (1990) Optimal airline seat allocation with fare classes nesting by origins and destinations. Transportation Science 24 (2): 193–204.

    Article  Google Scholar 

  • de Cardenas, I., Hobt, D.A. and Vinod, B. (1992) Holiday Inn revenue optimizer (HIRO) Hurdle rates & Holidex inventory redesign, Sabre Decision Technologies, Detailed Technical Design, November, p. 54.

  • Dempsey, P.S. and Gesell, L.E. (1997) Airline Management: Strategies for the 21st Century. Chandler, AZ: Coast Aire Publications.

    Google Scholar 

  • Donovan, A.W. (2005) Yield management in the airline industry. Journal of Aviation / Aerospace Education and Research 14 (3)): 11–19.

    Google Scholar 

  • Fiig, T., Isler, K., Hopperstad, C. and Belobaba, P. (2010) Optimization of mixed fare structures: Theory and applications. Journal of Revenue and Pricing Management 9 (1/2): 152–170.

    Article  Google Scholar 

  • Gallego, G. and Hu, M. (2014) Dynamic pricing of perishable assets under competition. Management Science 60 (5): 1241–1259.

    Article  Google Scholar 

  • Gallego, G., Ratliff, R. and Shebalov, S. (2015) A general attraction model and sales-based linear program for network revenue management under customer choice. Operations Research 63 (1): 212–232.

    Article  Google Scholar 

  • Geraghty, M.K. and Johnson, E. (1997) Revenue management saves national car rental. Interfaces 27 (November–December): 107–127.

    Article  Google Scholar 

  • Gorin, T. and Belobaba, P. (2004) Revenue management performance in a low fare airline environment: Insights from the passenger origin-destination simulator. Journal of Revenue and Pricing Management 3 (3): 215–236.

    Article  Google Scholar 

  • Hanks, R.D., Cross, R.G. and Noland, R.P. (1992) Discounting in the hotel industry: A new approach. The Cornell Hotel and Restaurant Administration Quarterly 33 (1): 15–23.

    Google Scholar 

  • Ingold, A., McMahon-Beattie, U and Yeoman, I. (eds.) (2002) Yield Management: Strategies for the Service Industries, 2nd edn. London: Continuum.

    Google Scholar 

  • Johan, N. and Jones, P. (2007) Forecasting the demand for airline meals. Euro CHRIE Conference in Leeds, UK.

  • Jones, P. (2004) Flight Catering. Oxford: Butterworth Heinemann.

    Google Scholar 

  • Kahn, A.E. (1988) Surprises of airline deregulation. American Economic Review, Papers and Proceedings 78 (2): 316–322.

    Google Scholar 

  • Kimes, S.E. and Schruben, L. (2002) Golf course revenue management: A study of the time intervals. Journal of Revenue and Pricing Management 1 (2): 111–120.

    Article  Google Scholar 

  • Kimes, S.E., Wirtz, J. and Noone, B.M. (2002) How long should dinner take: Measuring expected meal duration for restaurant revenue management. Journal of Revenue and Pricing Management 1 (3): 220–233.

    Article  Google Scholar 

  • Kretsch, S.S. (1995) Airline Fare Management and Policy, Aviation Daily’s Handbook of Airline Economics, Executive Editor D. Jenkins, The Aviation Weekly Group of the McGraw-Hill Companies, Washington DC, September.

  • Leven, M.A. (1994) Superstar Views on Hotel Technology. Austin, TX: CKC Report, June, pp. 7–8.

  • Lieberman, W.H. and Dieck, T. (2002) Expanding the revenue management frontier: Optimal air planning in the cruise industry. Journal of Revenue and Pricing Management 1 (1): 7–24.

    Article  Google Scholar 

  • Littlewood, K. (1972) Forecasting and control of passenger bookings. AGIFORS 12th Symposium Proceedings, October, Nathanya, Israel, pp. 193–204.

  • McDonald, M. (2006) Yielding to the LCC’s. Air Transport World 43 (3): 36–37.

    Google Scholar 

  • Michael, S.C. and Silk, A.J. (1994) American airlines value pricing. Harvard Business School 11 May.

  • Nason, S.D. (2009) The future of a la carte pricing in the airline industry. Journal of Revenue and Pricing Management 8 (5): 467–468.

    Article  Google Scholar 

  • Petersen, J.P. (1996) SAS’s Experience using a Dynamic O&D System. 33rd AGIFORS Symposium, November 26-10, Atlanta, GA.

  • Phillips, R.L. (2005) Pricing & Revenue Optimization. Stanford, CA: Stanford University Press.

    Google Scholar 

  • Ratliff, R. (2003) Approaches to availability processing: The increasing problem of shopping. Presentation at AGIFORS Revenue Management Study Group Meeting, Honolulu, Hawaii, June.

  • Ratliff, R. and Gallego, G. (2013) Estimating sales and profitability impacts of airline branded-fares product design and pricing decisions using customer choice models. Journal of Revenue and Pricing Management 12 (6): 509–523.

    Article  Google Scholar 

  • Ratliff, R. and Weatherford, L. (2013) Codeshare and alliance revenue management best practices: AGIFORS roundtable review. Journal of Revenue and Pricing Management 12 (1): 26–35.

    Article  Google Scholar 

  • Rickey, D. (2014) Total revenue management. Ascend 13 (4): 20–22.

    Google Scholar 

  • Shebalov, S. (2009) Practical overview of demand-driven dispatch. Journal of Revenue and Pricing Management 8 (2–3): 166–173.

    Article  Google Scholar 

  • Smith, B.C. (1982) Optimal Departure Booking Levels. Internal Technical Report, American Airlines, Dallas/Fort Worth, TX.

  • Smith, B.C. (1986) O&D Control with Virtual Nesting. Internal Technical Report, American Airlines, Dallas/Fort Worth, TX.

  • Smith, B.C. (2007) Revenue management in the US airline industry. AGIFORS Passenger and Cargo Revenue Management Study Group, JeJu Island, South Korea, 14–16 May.

  • Smith, B.C., Darrow, R., Elieson, J., Guenther, D., Rao, B.V. and Zouaoui, F. (2007) Travelocity becomes a travel retailer. Interfaces 37 (1): 68–81.

    Article  Google Scholar 

  • Smith, B.C., Leimkuhler, J.L. and Darrow, R.M. (1992) Yield management at American airlines. Interfaces 22 (January–February): 8–31.

    Article  Google Scholar 

  • Smith, B.C., Vinod, B. and Green, R. (1997) Apparatus and method of allocating flight inventory resources based on the current market value. Filing date 4 March, Publication Date 4 July 2000, US Patent No. US6085164A.

  • Subramanian, H. and Stupfel, K. (2005) Lufthansa benefits from close-in re-fleeting. Ascend 4 (1): 22–25.

    Google Scholar 

  • Talluri, K.T. and van Ryzin, G. (2004) The Theory and Practice of Revenue Management. Boston: Springer.

    Book  Google Scholar 

  • van Westendorp, P.H. (1976) NSS – Price Sensitivity Meter (PSM) – A New Approach to Study Consumer Perception of Price. Proceedings of the ESOMAR Congress,Venice, Italy.

  • Vinod, B. (1989) A Partitioning Algorithm For Virtual Nesting Indexing Using Dynamic Programming. Internal Technical Report, Sabre Technology Solutions, March 1989, Dallas/Fort Worth, TX.

  • Vinod, B. (1990) Reservation inventory control techniques to maximize revenues. Presented at IATA – The Third International Airline Yield Management Conference; London, December.

  • Vinod, B. and Ratliff, R. (1990) A discount allocation optimization method using stochastic linear programming: An introduction to continuous nesting. AGIFORS Reservations And Yield Management Study Group Proceedings; Rome, April.

  • Vinod, B. (1995) Origin and Destination Yield Management, Aviation Daily’s Handbook of Airline Economics, Editor Daryl Jenkins, McGraw Hill, New York, September.

  • Vinod, B. (2005) Alliance revenue management. Journal of Revenue and Pricing Management 4 (1): 66–82.

    Article  Google Scholar 

  • Vinod, B. (2006) Advances in inventory control. Journal of Revenue and Pricing Management 4 (4): 367–381.

    Article  Google Scholar 

  • Vinod, B. (2007) Seat availability: Alignment with the revenue management value proposition. Journal of Revenue and Pricing Management 4 (6): 315–320.

    Article  Google Scholar 

  • Vinod, B. (2008) The continuing evolution: Customer centric revenue management. Journal of Revenue and Pricing Management 7 (1): 27–39.

    Article  Google Scholar 

  • Vinod, B. (2009) Distribution and revenue management: Origins and value proposition. Journal of Revenue and Pricing Management 8 (2–3): 117–133.

    Article  Google Scholar 

  • Vinod, B. (2015) The expanding role of revenue management in the airline industry. Journal of Revenue and Pricing Management 14 (6): 391–399.

    Article  Google Scholar 

  • Vinod, B. and Moore, K. (2009) Promoting branded fare families and ancillary services: Merchandising and its impacts on the travel value chain. Journal of Revenue and Pricing Management 8 (2–3): 174–186.

    Article  Google Scholar 

  • Vulcano, G., van Ryzin, G. and Ratliff, R. (2012) Estimating primary demand for substitutable products from sales transaction data. Operations Research 60 (2): 313–334.

    Article  Google Scholar 

  • Wang, X. and Meng, Q. (2008) Continuous-time dynamic network yield management with demand driven dispatch in the airline industry. Transportation Research Part E: Logistics and Transportation Review 44 (6): 1052–1073.

    Article  Google Scholar 

  • Weatherford, L. and Ratliff, R. (2010) Review of revenue management methods with dependent demands. Journal of Revenue and Pricing Management 9 (4): 326–340.

    Article  Google Scholar 

  • Yeoman, I. and McMahon-Beattie, U. (eds.) (2004) Revenue Management and Pricing: Case Studies and Applications. Hampshire, UK: Cengage Learning EMEA Higher Education.

    Google Scholar 

  • Yeoman, I. and McMahon-Beattie, U. (eds.) (2011) Revenue Management: A Practical Pricing Perspective. Palgrave Macmillan.

    Book  Google Scholar 

  • Zouaoui, F. and Rao, B.V. (2009) Dynamic pricing of opaque airline tickets. Journal of Revenue and Pricing Management 8 (2–3): 148–154.

    Article  Google Scholar 

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1serves as Vice President and Chief Innovator at Saber Airline Solutions. Before rejoining Saber, he served (2000–2003) as VP of CRM and Revenue and Price Optimization at i2. At Saber (1985–1999), he was Vice President of Airline Solutions, responsible for pricing and yield management. He earned a PhD in Industrial Engineering from Purdue University with a concentration in operations research.

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Vinod, B. Evolution of yield management in travel. J Revenue Pricing Manag 15, 203–211 (2016). https://doi.org/10.1057/rpm.2016.15

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  • DOI: https://doi.org/10.1057/rpm.2016.15

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