• DocumentCode
    2469926
  • Title

    A generalised data analysis approach for baggage handling systems simulation

  • Author

    Le, Vu Thanh ; Zhang, James ; Johnstone, Michael ; Nahavandi, Saeid ; Creighton, Doug

  • Author_Institution
    Centre for Intell. Syst. Res., Deakin Univ., Geelong, VIC, Australia
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    1681
  • Lastpage
    1687
  • Abstract
    Airport baggage handling systems are a critical infrastructure component within major airports, and essential to ensure smooth luggage transfer while preventing dangerous material being loaded onto aircraft. This paper proposes a standard set of measures to assess the expected performance of a baggage handling system through discrete event simulation. These evaluation methods also have application in the study of general network systems. Results from the application of these methods reveal operational characteristics of the studied BHS, in terms of metrics such as peak throughput, in-system time and system recovery time.
  • Keywords
    aerospace computing; airports; data analysis; discrete event simulation; materials handling; airport baggage handling system; baggage handling system simulation; discrete event simulation; general network system; generalised data analysis approach; in-system time; luggage transfer; peak throughput; system recovery time; Data analysis; Data models; Merging; Steady-state; System recovery; Throughput; Transient analysis; baggage handling system; conveyor system analysis; discrete event simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377979
  • Filename
    6377979