Airline Fleet Assignment with Enhanced Revenue Modeling

Cynthia Barnhart (), Amr Farahat () and Manoj Lohatepanont ()
Additional contact information
Cynthia Barnhart: Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139
Amr Farahat: Johnson Graduate School of Management, Cornell University, Ithaca, New York 14853
Manoj Lohatepanont: Department of Civil Engineering, Chulalongkorn University, Bangkok 10330, Thailand

Operations Research, 2009, vol. 57, issue 1, 231-244

Abstract: The airline fleet assignment problem addresses the question of how to best assign aircraft fleet types to scheduled flight legs. This paper presents the subnetwork fleet assignment model: a model that employs composite decision variables representing the simultaneous assignment of fleet types to subnetworks of one or more flight legs. The formulation is motivated by the need to better model the revenue side of the objective function. We present a solution method designed to balance revenue approximation and model tractability. Computational results suggest that the approach yields profit improvements over comparable models and that it is computationally tractable for problems of practical size.

Keywords: transportation; airline models; programming; Dantzig-Wolfe decomposition (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://dx.doi.org/10.1287/opre.1070.0503 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:57:y:2009:i:1:p:231-244

Access Statistics for this article

More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().