Bid Price Controls for Car Rental Network Revenue Management

2021 ◽  
Author(s):  
Dong Li ◽  
Zhan Pang ◽  
Lixian Qian
Keyword(s):  
Revenue Management ◽  
Price Controls ◽  
Network Revenue Management ◽  
Car Rental ◽  
Bid Price ◽  
Network Revenue

scholarly journals On Bid-price Controls for Network Revenue Management

2015 ◽  
Vol 5 (2) ◽  
pp. 268-323 ◽  
Author(s):  
Barış Ata ◽  
Mustafa Akan
Keyword(s):  
Revenue Management ◽  
Price Controls ◽  
Network Revenue Management ◽  
Bid Price ◽  
Network Revenue

An Analysis of Bid-Price Controls for Network Revenue Management

1998 ◽  
Vol 44 (11-part-1) ◽  
pp. 1577-1593 ◽  
Author(s):  
Kalyan Talluri ◽  
Garrett van Ryzin
Keyword(s):  
Revenue Management ◽  
Price Controls ◽  
Network Revenue Management ◽  
Bid Price ◽  
Network Revenue

scholarly journals On bid-price controls for network revenue management

2015 ◽  
Vol 5 (2) ◽  
pp. 268-323 ◽  
Author(s):  
Barış Ata ◽  
Mustafa Akan
Keyword(s):  
Revenue Management ◽  
Price Controls ◽  
Network Revenue Management ◽  
Bid Price ◽  
Network Revenue

scholarly journals Discrete dynamic pricing and application of network revenue management for FlixBus

2021 ◽  
Author(s):  
Christiane Barz ◽  
Simon Laumer ◽  
Marcel Freyschmidt ◽  
Jesús Martínez-Blanco
Keyword(s):  
Revenue Management ◽  
Dynamic Pricing ◽  
Low Cost ◽  
Strategic Decision ◽  
Linear Programs ◽  
Pricing Policy ◽  
Network Revenue Management ◽  
Booking Limits ◽  
Bid Price ◽  
Network Revenue

AbstractWe consider a real discrete pricing problem in network revenue management for FlixBus. We improve the company's current pricing policy by an intermediate optimization step using booking limits from standard deterministic linear programs. We pay special attention to computational efficiency. FlixBus' strategic decision to allow for low-cost refunds might encourage large group bookings early in the booking process. In this context, we discuss counter-intuitive findings comparing booking limits with static bid price policies. We investigate the theoretical question whether the standard deterministic linear program for network revenue management does provide an upper bound on the optimal expected revenue if customer's willingness to pay varies over time.

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