Simulation-based input loading condition optimisation of airport baggage handling systems
Le, Vu T., Creighton, Doug and Nahavandi, Saeid 2007, Simulation-based input loading condition optimisation of airport baggage handling systems, in ITSC 2007 : Proceedings of the 2007 IEEE Intelligent transportation Systems Conference, IEEE, Piscataway, N. J., pp. 574-579, doi: 10.1109/ITSC.2007.4357773.
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.
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