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Yield management: A tool for capacity‐considered service firms
Open accessAbstract
Airlines typically sell their seats for a variety of different fares. If customers make reservations early, low fares might be available, but if customers call at the last minute, they will probably have to pay the full fare. Since deregulation, early all airlines have been using a technique called yield management. Yield management allows the airlines to allocate their fixed capacity of seats in the most profitable manner possible. Since the airline's inventory of seats is perishable, the airlines must have a method of quickly and accurately allocating potential demand to capacity. The airline industry has been in the forefront of using management, but yield management has potential application to any firm constrained by capacity. Other services which have adopted yield management include the lodging, rental car, delivery service, rail and cruise line industries. The objective of yield management is to maximize the revenue or yield of the firm. A good yield management system will help the firm decide how much of each type of inventory (whether it be seats on an airplane, rooms in a hotel, or cars in a rental car fleet) to allocate to different types of demand. This article attempts to structure the concept of yield management by reviewing current literature, classifying types of solution approaches, discussing the managerial implications of yield management and presenting a future research agenda. While corporate research on yield management has been performed, most firms are understandably reluctant to share the results of their research with others. Operations management researchers could assist small and medium sized capacity‐constrained firms by developing simple and accurate yield management techniques. The intent of the paper is to focus attention n the yield management and stimulate practical and theoretical research in this area.
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Citations
Cited by
Clinic Overbooking to Improve Patient Access and Increase Provider Productivity*
LaGanga, L. R., & Lawrence, S. R. (2007) · Decision Sciences · doi:10.1111/j.1540-5915.2007.00158.x · Cited by 338
The strategic levers of yield management
Kimes, S. E., & Chase, R. B. (1998) · Journal of Service Research · doi:10.1177/109467059800100205 · Cited by 158
Self-citationA yield management model for five-star hotels: Computerized and non-computerized implementation
Emeksiz, M., Gursoy, D., & Icoz, O. (2006) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2005.03.003 · Cited by 60
Analyzing high speed rail passengers’ train choices based on new online booking data in China
Sun, Y., Jiang, Z., Gu, J., Zhou, M., Li, Y., & Zhang, L. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.10.015 · Cited by 50
Forecasting for cruise line revenue management
Sun, X., Gauri, D. K., & Webster, S. (2011) · Journal of Revenue and Pricing Management · doi:10.1057/rpm.2009.55 · Cited by 39
Metadata
- Authors
- Kimes, S. E.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 1989-10
- Volume
- 8
- Issue
- 4
- Pages
- 348-363
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W2024312173
- Cited by
- 416
- References
- 0
- FWCI
- 0.93
- Type
- journal article
- Language
- en
- Open access
- green
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- Kimes, S. E. (1989). Yield management: A tool for capacity‐considered service firms. Journal of Operations Management. https://doi.org/10.1016/0272-6963(89)90035-1
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.