淡江大學機構典藏:Item 987654321/118944
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    Title: A hybrid model for aircraft type determination following flight cancellation
    Authors: Pineda, Pedro Jose Gudiel;Hsu, Chao-Che;Liou, James J.H.;Lo, Huai-Wei
    Keywords: DEMATEL;DEMATEL-based ANP (DANP);VIKOR;aircraft re-assignment;airline schedule disturbance;disruption management;fleet management
    Date: 2018-05-04
    Issue Date: 2020-07-20 12:10:41 (UTC+8)
    Publisher: World Scientific Publishing Co. Pte. Ltd.
    Abstract: There are several factors that need to be considered in fleet management when it is necessary to resolve disturbances which necessitate aircraft re-assignment due to flight cancellations, making this a multiple-criteria decision-making problem. A change in the type of aircraft assigned can lead to additional alterations as well as directly affecting connecting flights and interconnected schedules serving specific flight segments. Decision-making is crucial and involves the consideration of complex cost effects, with possible disruptive actions evaluated according to the priorities of airline management and the available resources. Airline managers require a practical and flexible tool to help them make appropriate decisions in a rapidly changing and highly competitive environment. Differing from prior studies using mathematical programming, we propose a hybrid model based on the decision-making trial and evaluation laboratory method and the concepts of analytic network process (DANP) to aid in the decision-making process. We also recommend using the VIKOR method to select the most appropriate alternatives, with the corresponding weights obtained using the DANP method. The efficiency and effectiveness of the proposed method is demonstrated by testing it on a real-world flight cancellation case and in consultation with experts. The results show that this hybrid model is an effective resource that airline managers can use to address and resolve aircraft re-assignment irregularities.
    Relation: International Journal of Information Technology & Decision Making 17(4), p.1147-1172
    DOI: 10.1142/S0219622018500219
    Appears in Collections:[Graduate Institute & Department of Transportation Management] Journal Article

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