Airline Fleet Assignment with Enhanced Revenue Modeling

Authors:
Cynthia Barnhart;Amr Farahat;Manoj Lohatepanont
Affiliations:
Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139;Johnson Graduate School of Management, Cornell University, Ithaca, New York 14853;Department of Civil Engineering, Chulalongkorn University, Bangkok 10330, Thailand
Venue:
Operations Research
Year:
2009

Citing 11
Cited 3

Demand driven dispatch: a method for dynamic aircraft capacity assignment, models, and algorithms

Operations Research
The fleet assignment problem: solving a large-scale integer program

Mathematical Programming: Series A and B
Daily aircraft routing and scheduling

Management Science
Branch-And-Price: Column Generation for Solving Huge Integer Programs

Operations Research
Flight String Models for Aircraft Fleeting and Routing

Transportation Science
Revenue Management: Research Overview and Prospects

Transportation Science
Airline Fleet Assignment with Time Windows

Transportation Science
Benders Decomposition for Simultaneous Aircraft Routing and Crew Scheduling

Transportation Science
Itinerary-Based Airline Fleet Assignment

Transportation Science
Airline fleet assignment and schedule design: integrated models and algorithms

Airline fleet assignment and schedule design: integrated models and algorithms
Applications of Operations Research in the Air Transport Industry

Transportation Science

Fleeting with Passenger and Cargo Origin-Destination Booking Control

Transportation Science
Ford Motor Company Implements Integrated Planning and Scheduling in a Complex Automotive Manufacturing Environment

Interfaces
Airline planning benchmark problems-Part I

Computers and Operations Research

Quantified Score

Hi-index	0.00

Visualization

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.