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    Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10259/6977

    Título
    A novel approach to the tail assignment problem in airline planning
    Autor
    Fuentes, Manuel
    Cadarso, Luis
    Vaze, Vikrant
    Barnhart, Cynthia
    Publicado en
    R-Evolucionando el transporte
    Editorial
    Universidad de Burgos. Servicio de Publicaciones e Imagen Institucional
    Fecha de publicación
    2021-07
    ISBN
    978-84-18465-12-3
    DOI
    10.36443/10259/6977
    Descripción
    Trabajo presentado en: R-Evolucionando el transporte, XIV Congreso de Ingeniería del Transporte (CIT 2021), realizado en modalidad online los días 6, 7 y 8 de julio de 2021, organizado por la Universidad de Burgos
    Resumen
    Combinatorial optimization problems abound in the field of airline planning. Aircraft and passengers fly on networks made up of flights and airports. To schedule aircraft, assignments of fleet types to flights and of aircraft to routes must be determined. The former is known as the fleet assignment problem while the latter is known as the aircraft routing problem in the literature. Aircraft routing is typically addressed as a feasibility problem, the solution to which is required for the construction of crew schedules. All these issues are typically resolved 4 to 6 months before the day of operations. As a result, there is little information available about each aircraft's operational status when making such decisions. The tail assignment problem, which has received little attention in the literature, is solved when additional information about operational conditions is revealed, with the goal of determining each aircraft's route for the day of operations while accounting for the originally planned aircraft routes and crew schedules. As a result, it is a problem that must be resolved closer to the day of operations. We propose a mathematical programming approach based on sequencing that captures all operational constraints and maintenance requirements while minimizing operational costs and schedule changes relative to original plans. The computational experiments are based on realistic cases drawn from a Spanish airline with over 1000 flights and over 100 aircraft.
    Palabras clave
    Planificación del transporte
    Planning of transport
    Industria aérea
    Airline industry
    Materia
    Ingeniería civil
    Civil engineering
    Transportes
    Transportation
    Tecnología
    Technology
    URI
    http://hdl.handle.net/10259/6977
    Versión del editor
    https://doi.org/10.36443/9788418465123
    Relacionado con
    http://hdl.handle.net/10259/6490
    Aparece en las colecciones
    • Congreso de Ingeniería del Transporte CIT 2021 (14º. 2021. Burgos)
    Ficheros en este ítem
    Nombre:
    Fuentes_CIT2021_2309-2320.pdf
    Tamaño:
    186.6Kb
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