Title :
Simulation-based Input Loading Condition Optimisation of Airport Baggage Handling Systems
Author :
Le, Vu T. ; Creighton, Doug ; Nahavandi, Saeid
Author_Institution :
Deakin Univ., Geelong
fDate :
Sept. 30 2007-Oct. 3 2007
Abstract :
Scheduling check-in station operations are a challenging problem within airport systems. Prior to determining check-in resource schedules, an important step is to estimate the Baggage Handling System (BHS) operating capacity under non-stationary conditions. This ensures that check-in stations are not overloaded with bags, which would adversely affect the system and cause cascade stops and blockages. Cascading blockages can potentially lead to a poor level of service and in worst scenario a customer may depart without their bags. This paper presents an empirical study of a multiobjective problem within a BHS system. The goal is to estimate near optimal input operating conditions, such that no blockages occurs at check-in stations, while minimising the baggage travel time and maximising the throughput performance measures. We provide a practical hybrid simulation and binary search technique to determine a near optimal input throughput operating condition. The algorithm generates capacity constraint information that may be used by a scheduler to plan check-in operations based on flight arrival schedules.
Keywords :
loading; optimisation; scheduling; tree data structures; airport baggage handling systems; binary search technique; capacity constraint information; check-in resource schedules; check-in station operations; flight arrival schedules; multiobjective problem; simulation-based input loading condition optimisation; Air transportation; Airports; Automatic control; Capacity planning; Intelligent transportation systems; Job shop scheduling; Logic; Postal services; Throughput; USA Councils; BHS; conveyor system; merge; network analysis; operating policies; optimisation;
Conference_Titel :
Intelligent Transportation Systems Conference, 2007. ITSC 2007. IEEE
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-1396-6
Electronic_ISBN :
978-1-4244-1396-6
DOI :
10.1109/ITSC.2007.4357773