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    Integrated aircraft scheduling problem: An auto-adapting algorithm to find robust aircraft assignments for large flight plans

    185239_185239.pdf (1.033Mb)
    Access Status
    Open access
    Authors
    Reiners, Torsten
    Pahl, J.
    Maroszek, M.
    Rettig, C.
    Date
    2012
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Reiners, Torsten and Pahl, Julia and Maroszek, Michael and Rettig, Cornelius. 2012. Integrated aircraft scheduling problem: An auto-adapting algorithm to find robust aircraft assignments for large flight plans, in Sprague, R.H., Jr. (ed), Proceedings of the 2012 45th Hawaii International Conference on System Science (HICSS 2012), Jan 4-7 2012, pp. 1267-1276. Maui, Hawaii: Institute of Electrical and Electronics Engineers.
    Source Title
    Proceedings of the Forty-Fifth Annual Hawaii International Conference on System Sciences
    Source Conference
    The Forty-Fifth Annual Hawaii International Conference on System Sciences
    DOI
    10.1109/HICSS.2012.330
    ISBN
    9780769545257
    School
    School of Information Systems
    Remarks

    Copyright © 2012 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/32407
    Collection
    • Curtin Research Publications
    Abstract

    The overall airline scheduling process involves hierarchical steps starting with the network design and ending with crew assignment. Aircraft routing is especially important with respect to timing and costs for an airline. In this contribution, we focus on aircraft routing where aircraft are assigned to flight legs further considering maintenance requirements. We developed and implemented algorithms that extend the aircraft routing problem (ARP) by including profit and robustness. The latter objective is important as the dependencies of flights and airlines increases and deviations to the original time plan as unexpected events like volcano eruptions or heavy weather-related issues are difficult to handle. A robust aircraft routing ensures that unforeseen events have less impact. The results are compared to current state-of-the-art solutions. We developed a test instance-generator to create specific problems and build a library for future benchmarking tests.

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