The airline long-haul fleet planning problem:The case of TAP service to/from Brazil

Carreira, Joana and Lulli, Guglielmo and Antunes, Antonio (2017) The airline long-haul fleet planning problem:The case of TAP service to/from Brazil. European Journal of Operational Research, 263 (2). pp. 639-651. ISSN 0377-2217

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Abstract

In this paper, we study a strategic fleet planning problem faced by TAP, the Portuguese legacy carrier. The study is intended to shed light on the aircraft models to select, as well as on the mix of aircraft to purchase (or financially lease) and the aircraft to operationally lease in order to cope with the forecasted passenger demand between Lisbon and Brazil in the year 2020. The approach we developed for addressing this problem is based on an optimization model that can be cast in the class of two-stage stochastic integer programs. In our opinion, the proposed approach can be a valuable alternative or complement to the methods currently used in practice. The results of the study provide clear insights on how TAP should renovate its fleet, obviously depending on the available resources. The leasing of aircraft is an option that should definitely be taken into consideration by TAP, since it allows the carrier to deal with demand uncertainty without investing large amount of resources in the purchase of new aircraft.

Item Type:
Journal Article
Journal or Publication Title:
European Journal of Operational Research
Additional Information:
This is the author’s version of a work that was accepted for publication in European Journal of Operational Research. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in European Journal of Operational Research, 263, 2, 2017 DOI: 10.1016/j.ejor.2017.05.015
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1800/1802
Subjects:
?? FLEET PLANNINGAIR TRANSPORTINTEGEER OPTIMIZATIONSTOCHASTIC PROGRAMMING TRANSPORTATIONMANAGEMENT SCIENCE AND OPERATIONS RESEARCHMODELLING AND SIMULATIONINFORMATION SYSTEMS AND MANAGEMENT ??
ID Code:
86327
Deposited By:
Deposited On:
25 May 2017 07:56
Refereed?:
Yes
Published?:
Published
Last Modified:
29 Sep 2023 01:35