• English
    • العربية
  • العربية
  • Login
  • QU
  • QU Library
  •  Home
  • Communities & Collections
  • Help
    • Item Submission
    • Publisher policies
    • User guides
    • FAQs
  • About QSpace
    • Vision & Mission
View Item 
  •   Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Mechanical & Industrial Engineering
  • View Item
  • Qatar University Digital Hub
  • Qatar University Institutional Repository
  • Academic
  • Faculty Contributions
  • College of Engineering
  • Mechanical & Industrial Engineering
  • View Item
  •      
  •  
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    A model for enhancing robustness of aircraft and passenger connections

    Thumbnail
    View/Open
    Publisher version (You have accessOpen AccessIcon)
    Publisher version (Check access options)
    Check access options
    Date
    2013
    Author
    Aloulou, Mohamed Ali
    Haouari, Mohamed
    Zeghal Mansour, Farah
    Metadata
    Show full item record
    Abstract
    Airlines schedules are often subject to various uncontrollable factors that cause disruptions and delays. These delays not only constitute, for many passengers, the painful part of air travel, but also represent for airlines a significant financial burden. In this paper, we present a model for building robust aircraft routes that are less vulnerable to disruptions through judiciously distributing slacks to connections where they are most needed operationally. Toward this end, the model assigns legs to aircraft and determines the flights departure times, while maintaining the designated time-slot assignments at airports, and satisfying operational constraints. The considered objective function is a newly proposed surrogate measure of robustness that implicitly captures the robustness both pertaining to aircraft and passenger connections.Computational experiments carried out on real-world-based instances, with up to 1278 flights and 251 aircraft, show that the model yields solutions that are remarkably robust. In particular, a simulation study reveals that the total delays, number of delayed flights, and number of missed connections can be significantly reduced. 2013 Elsevier Ltd.
    DOI/handle
    http://dx.doi.org/10.1016/j.trc.2013.03.008
    http://hdl.handle.net/10576/38698
    Collections
    • Mechanical & Industrial Engineering [‎1499‎ items ]

    entitlement


    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Home

    Submit your QU affiliated work

    Browse

    All of Digital Hub
      Communities & Collections Publication Date Author Title Subject Type Language Publisher
    This Collection
      Publication Date Author Title Subject Type Language Publisher

    My Account

    Login

    Statistics

    View Usage Statistics

    About QSpace

    Vision & Mission

    Help

    Item Submission Publisher policiesUser guides FAQs

    Qatar University Digital Hub is a digital collection operated and maintained by the Qatar University Library and supported by the ITS department

    Contact Us | Send Feedback
    Contact Us | Send Feedback | QU

     

     

    Video