Bruno, G., Esposito, E. and Genovese, A. (2015) A model for aircraft evaluation to support strategic decisions. Expert Systems with Applications, 42 (13). 5580 - 5590. ISSN 0957-4174
Abstract
In the contemporary air transport industry, many factors, such as environmental impact, service quality and comfort are becoming increasingly crucial. In this context, airlines and manufacturing companies can no longer consider air transport exclusively as a cost-oriented problem; thus, for airlines, the choice concerning the purchase of the aircraft is no longer a simple matter of minimizing operative costs, but rather a multi-attribute problem, characterized by a high complexity level in which a variety of factors play a pivotal role. Given this scenario, the aim of this paper is to propose a novel model for aircraft evaluation, based on the investigation of airlines' needs. The model is based on the two main approaches proposed in literature to address generic evaluation problems, Analytic Hierarchy Process and Fuzzy Set Theory, proposing a hybrid approach which combines some the strengths of the two methodologies. The usability of the hybrid model for the stakeholders of the air transport industry is investigated through an empirical study.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2015 Elsevier Ltd. This is an author produced version of a paper subsequently published in Expert Systems with Applications. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
Keywords: | AHP; Fuzzy Set Theory; Aircraft evaluation; Decision-making |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 16 Jun 2015 15:15 |
Last Modified: | 09 May 2024 11:45 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.eswa.2015.02.054 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:85356 |