Optimal seat allocation for two-flight problems with a flexible demand segment

Chen, Shaoxiang; Gallego, Guillermo; Li, Michael Z. F.; Lin, Bing

doi:10.1016/j.ejor.2009.04.009

Cited by 24 publications

(23 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The booking system should provide the best suggestion, in line with space use efficiency, based on the flexibility of selected time slot and date. Optimal allocation in flexible scheduling has been studied in other areas such as flight booking and car-sharing [ 51 , 52 ], while the approaches and methods are applicable for room booking systems at universities. The suggestions made by the booking system could consider more details on efficient energy management when using energy systems with occupant-based control.…”

Section: Discussionmentioning

confidence: 99%

Application of Internet of Things in academic buildings for space use efficiency using occupancy and booking data

Azizi

Nair

Rabiee

et al. 2020

Building and Environment

View full text Add to dashboard Cite

Environmental sustainability in academic buildings can be improved with management interventions such as improving space use efficiency supported by large data from the Internet of Things (IoT). Due to the potentials, the interest in the use of IoT tools for facility management is high among universities. However, empirical studies on this topic are scarce. To address the knowledge gap in this area, this study proposes and examines a process model with steps to measure space use and to improve space use efficiency by IoT tools in academic buildings. The applicability of the model is investigated in 8 lecture halls in a university building by using occupancy and booking data from IoT tools. Four space use indicators are developed to visualize the data and quantify space use, and based on them, the strategies and interventions for space use efficiency are proposed and discussed.

show abstract

Section: Discussionmentioning

confidence: 99%

Application of Internet of Things in academic buildings for space use efficiency using occupancy and booking data

Azizi

Nair

Rabiee

et al. 2020

Building and Environment

View full text Add to dashboard Cite

show abstract

“…Following Zhang and Cooper (2009), several papers in the operations research literature have described other approaches for multiple-flight RM (Chen et al, 2010;Akçay et al, 2010;Gallego and Wang, 2014). These papers typically use a multinomial logit (MNL) choice model to describe customer decision making between various itinerary options.…”

Section: Revenue Management Of Multiple Substitutable Flightsmentioning

confidence: 99%

“…One possibility, which is common in the operations research literature on pricing multiple substitutable products (e.g. Dong et al, 2009, Chen et al, 2010, Suh and Aydin, 2011, is to use a multinomial logit (MNL) choice model.…”

Section: Choice Models For Substitutable Flightsmentioning

confidence: 99%

A dynamic pricing engine for multiple substitutable flights

Wittman

Fiig²,

Belobaba

2018

J Revenue Pricing Manag

View full text Add to dashboard Cite

Ph.D. in Air Transportation Systems from MIT, where his research focused on dynamic pricing in airline revenue management, airport connectivity, and airline business strategies in the U.S. His work has been cited by Congress and featured in numerous international media outlets. He recently started in a new role at Amadeus's Revenue Management Competency Center in Copenhagen, Denmark, where he works on research and development of new revenue management methodologies.

show abstract

“…Technically, the flexible product is irrevocably assigned immediately after the sale to one of the alternatives. We refer to Talluri (2001) and Chen et al (2010) for revenue management with opaque products. In doing so, the need to store a commitment for later assignment is eliminated, and the solely resource-based state space is retained, which renders DPD possible again (see Gönsch and Steinhardt (2013) for DPD with opaque products).…”

Section: Related Literaturementioning

confidence: 99%

Dynamic Programming Decomposition for Choice-Based Revenue Management with Flexible Products

Koch

Gönsch

Steinhardt

2017

Transportation Science

View full text Add to dashboard Cite

We reconsider the stochastic dynamic program of revenue management with flexible products and customer choice behavior as proposed by Gallego et al. [Gallego G, Iyengar G, Phillips RL, Dubey A (2004) Managing flexible products on a network. Working paper, Columbia University, New York]. In the scientific literature on revenue management, as well as in practice, the prevailing strategy to operationalize dynamic programs is to decompose the network by resources and solve the resulting one-dimensional problems. However, to date, these dynamic programming decomposition approaches have not been applicable to problems with flexible products, because sold flexible products must be included in the dynamic program's state space and do not correspond directly to resources.In this paper, we contribute to the existing research by presenting a general approach to operationalizing revenue management with flexible products and customer choice in a dynamic programming environment. In particular, we reformulate the original dynamic program by means of Fourier-Motzkin elimination to obtain an equivalent dynamic program with a standard resource-based state space. This reformulation allows the application of dynamic programming decomposition approaches. Numerical experiments show that the new approach has a superior revenue performance and that its average revenues are close to the upper bound on the optimal expected revenue from the choice-based deterministic linear program (CDLP). Moreover, our reformulation improves the revenues by up to 8% compared to an extended variant of a standard choice-based approach that immediately assigns flexible products after their sale.

show abstract

Optimal seat allocation for two-flight problems with a flexible demand segment

Cited by 24 publications

References 17 publications

Application of Internet of Things in academic buildings for space use efficiency using occupancy and booking data

Application of Internet of Things in academic buildings for space use efficiency using occupancy and booking data

A dynamic pricing engine for multiple substitutable flights

Dynamic Programming Decomposition for Choice-Based Revenue Management with Flexible Products

Contact Info

Product

Resources

About