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
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;
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
DOI :
10.1109/ICSMC.2012.6377979