Abstract
An active and rapidly growing applied operations research discipline is the field known as revenue management (RM). The principal intent of revenue management is to extract all unused willingness to pay from consumers of differentiated services and products. Talluri and van Ryzin (2004) provide a comprehensive introduction to most aspects of the theory and practice of revenue management. For this chapter, our goal is to illustrate and solve some differentialNash games that occur in network revenue management and that provide critical information about pricing, resource allocation, and demand management to retailers and service providers.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
List of References Cited and Additional Reading
Ferland, J. A. (1972). Mathematical programming with quasi-convex objective functions. Mathematical Programming 3, 296–301.
Fudenberg, D. and D. K. Levine (1999). The Theory of Learning in Games (2nd ed.). Cambridge, MA: MIT Press.
Hofbauer, J. and K. Sigmund (1998). Evolutionary Games and Replicator Dynamics. Cambridge: Cambridge University Press.
Kachani, S., G. Perakis, and C. Simon (2004). A transient model for joint pricing and demand learning under competition. Presented in the 4th Annual INFORMS Revenue Management and Pricing Section Conference, MIT, Cambridge.
Mookherjee, R. and T. Friesz (2008). Pricing, allocation, and overbooking in dynamic service network competition when demand is uncertain. Production and Operations Management 14(4), 1–20.
Perakis, G. and A. Sood (2006). Competitive multiperiod pricing for perishable products: a robust optimization approach. Mathematical Programming B 107, 295–335.
Talluri, K. T. and G. J. van Ryzin (2004). The Theory and Practice of Revenue Management. New York: Springer-Verlag.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2010 Springer Science+Business Media, LLC
About this chapter
Cite this chapter
Friesz, T.L. (2010). Dynamic Pricing and Revenue Management. In: Dynamic Optimization and Differential Games. International Series in Operations Research & Management Science, vol 135. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-72778-3_10
Download citation
DOI: https://doi.org/10.1007/978-0-387-72778-3_10
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-72777-6
Online ISBN: 978-0-387-72778-3
eBook Packages: Business and EconomicsBusiness and Management (R0)