Perishable Asset Revenue Management with Markovian Time Dependent Demand Intensities
By Youyi Feng, Guillermo Gallego. 2000
172 citations recorded by the source corpus.
Subfields: Management Information Systems, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/b833b7dc3719bc17c0e3932fcd03b1ccd36ea0f8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Management Information Systems
- Xuanming Su
- Qian Liu
- G. V. Ryzin
- Jean-Philippe Vial
- Arkadi Nemirovski
- Aharon Ben-Tal
- Zuo-Jun Max Shen
- Huseyin Topaloglu
In Management Science and Operations Research
- Arkadi Nemirovski
- Aharon Ben-Tal
- Xuanming Su
- Jean-Philippe Vial
- Boaz Golany
- G. V. Ryzin
- Qian Liu
- Melvyn Sim
Citations in the corpus
- On the Choice-Based Linear Programming Model for Network Revenue Management (2008, methodology): “Finally, we note that other models and methods that address choice behavior issues are dynamic pricing models such as those studied by Bitran et al. [12], Feng and Gallego [15], [16], Feng and Xiao [17] [18] [19] and Gallego and van Ryzin [20], [21].”
- Optimal Pricing of Seasonal Products in the Presence of Forward-Looking Consumers (2008, unknown): “An interesting alternative approach to model the patterns of consumer valuations, is via time dependent Markovian intensities; see Feng and Gallego (2000) for details.”
- Retailer-Supplier Flexible Commitments Contracts: A Robust Optimization Approach (2005, background): “, Talluri and van Ryzin 1998, Feng and Gallego 2000) dealing with demand for seats on flights, hotel rooms, theater tickets, etc. In these settings, there exists a fixed deadline after which the “goods” are lost. Pricing is then done in a folding horizon manner—an initial price is set at the beginni”
- Intertemporal Pricing with Strategic Customer Behavior (2007, background): “Feng and Xiao (2000a, 2000b) extend this to policies involving multiple and reversible (non-monotonic) price changes.”
- Dynamic Pricing and Learning: Historical Origins, Current Research, and New Directions (2013, unknown): “Feng and Gallego (2000) and Zhao and Zheng (2000) characterize the optimal pricing policy in case of time dependent demand intensities; in these models, the price dynamics are caused both by inventory effects and by dynamic demand behavior.”