淡江大學機構典藏:Item 987654321/112867
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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/112867


    Title: An integrated MCDM model for improving airline operational and financial performance
    Authors: Pedro Jose Gudiel Pineda;James J.H. Liou;Chao-Che Hsu;Yen-Ching Chuang
    Keywords: Airline performance;DRSA;DANP;VIKOR;MCDM
    Date: 2017-06-29
    Issue Date: 2018-03-02 12:15:21 (UTC+8)
    Abstract: The development of better methods for the improvement of airline performance is crucial, but this type of problem is difficult to solve because of the large number of complex factors involved making this inherently a multiple criteria decision making (MCDM) problem. In current studies, the factors to be evaluated are considered based upon a literature review or expert opinions. This study proposes an integrated model that combines data mining and MCDM to extract the critical factors for the improvement of airline performance. We apply the dominance-based rough set approach to extract the essential factors. The decision-making trial and evaluation laboratory method with the concepts of the analytic network process (DANP) is then used to construct the complex evaluation system. Finally, the VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje in Serbian, meaning multicriteria optimization and compromise solution) method is applied to select the suitable improvement alternative goals with the corresponding weights provided by the DANP method. The results show that the current model can be used as the basis for a benchmark industry improvement index which can be used to evaluate each airline individually with defined planning goals to achieve financial efficiency by improving operational efficiency.
    Relation: Journal of Air Transport Management 68, p.103-117
    DOI: 10.1016/j.jairtraman.2017.06.003
    Appears in Collections:[Graduate Institute & Department of Transportation Management] Journal Article

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