The Theory and Practice of Revenue Management¶
Talluri, K. T., & Van Ryzin, G. J. (2004). The Theory and Practice of Revenue Management. Springer.
Cited by¶
4 citations across 4 artifacts.
Each citation links to the sentence it supports in the citing article.
Primes¶
- Price Discrimination
- The foundational academic treatments include Belobaba (1987, 1989) on airline yield management and the subsequent revenue-management textbooks (Talluri and Van Ryzin 2004)
This sourceStandard graduate-level reference on revenue management; integrates price discrimination, capacity control, and stochastic optimization.
- The foundational academic treatments include Belobaba (1987, 1989) on airline yield management and the subsequent revenue-management textbooks (Talluri and Van Ryzin 2004)
Domain-specific¶
- Available-to-Promise
- Carriers therefore overbook — selling, say, 105 tickets on a 100-seat cabin — sizing the overbook against the historical no-show distribution so that the expected number who actually appear stays within capacity
Supported in partVerified against the work's full text
“This is followed in Chapters 2, 3 and 4 with nice treatments of resource allocation, capacity, and overbooking to complete Part I.”
- Carriers therefore overbook — selling, say, 105 tickets on a 100-seat cabin — sizing the overbook against the historical no-show distribution so that the expected number who actually appear stays within capacity
Mechanisms¶
- Dynamic Pricing
- Its strength is allocative: when supply is fixed and demand shifts continuously — airline seats, hotel nights, perishable stock — a standing optimizer fills capacity far better than any static list, which is why revenue management grew up around exactly this problem.
This sourceRevenue management developed around price- and quantity-based allocation of constrained capacity, including dynamic pricing and single-resource capacity control.
- Its strength is allocative: when supply is fixed and demand shifts continuously — airline seats, hotel nights, perishable stock — a standing optimizer fills capacity far better than any static list, which is why revenue management grew up around exactly this problem.
- Reservation Calendar
- No-shows leave booked-but-idle slots that a stricter world would have used, which tempts the classic misuse — overbooking, deliberately selling more claims than capacity (as airlines do) to absorb no-shows, until a day when everyone shows and two real holders collide.
This sourceExplains airline overbooking as accepting reservations above capacity to offset no-shows while incurring denied-service risk when too many customers appear.
- No-shows leave booked-but-idle slots that a stricter world would have used, which tempts the classic misuse — overbooking, deliberately selling more claims than capacity (as airlines do) to absorb no-shows, until a day when everyone shows and two real holders collide.
Verification¶
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