• Login
    View Item 
    •   SMARTech Home
    • Georgia Tech Theses and Dissertations
    • Georgia Tech Theses and Dissertations
    • View Item
    •   SMARTech Home
    • Georgia Tech Theses and Dissertations
    • Georgia Tech Theses and Dissertations
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Workforce scheduling with large-scale mixed integer programming using column generation and 2D genetic algorithms: An application to airport ground staff scheduling

    Thumbnail
    View/Open
    WANG-THESIS-2019.pdf (1.136Mb)
    Date
    2019-12-09
    Author
    Wang, Shu
    Metadata
    Show full item record
    Abstract
    Due to the large volume of transportation that takes place on the airport every day, airlines need to efficiently manage their employees and tasks to guarantee necessary operations are performed well and on time. The quality of the workforce scheduling has an important influence on both the task performance and costs of labor and operations that airlines will take. In this regard, this thesis proposes a mathematical modeling for airport ground staff scheduling with corresponding algorithms, including a 2D GA for shift planning with daily-wise shift formats, column generation for rostering and task dispatching, and integer programming for disruption management. The presented optimization-based workforce scheduling can replace the manual planning or serve as a reference for practitioners.
    URI
    http://hdl.handle.net/1853/62356
    Collections
    • Georgia Tech Theses and Dissertations [23877]
    • School of Electrical and Computer Engineering Theses and Dissertations [3381]

    Browse

    All of SMARTechCommunities & CollectionsDatesAuthorsTitlesSubjectsTypesThis CollectionDatesAuthorsTitlesSubjectsTypes

    My SMARTech

    Login

    Statistics

    View Usage StatisticsView Google Analytics Statistics
    facebook instagram twitter youtube
    • My Account
    • Contact us
    • Directory
    • Campus Map
    • Support/Give
    • Library Accessibility
      • About SMARTech
      • SMARTech Terms of Use
    Georgia Tech Library266 4th Street NW, Atlanta, GA 30332
    404.894.4500
    • Emergency Information
    • Legal and Privacy Information
    • Human Trafficking Notice
    • Accessibility
    • Accountability
    • Accreditation
    • Employment
    © 2020 Georgia Institute of Technology