Coloured Petri nets: basic concepts, analysis methods and practical use, volume 3
Coloured Petri nets: basic concepts, analysis methods and practical use, volume 3
Modeling the dependability of CAUTRA, a subset of the French air traffic control system
FTCS '96 Proceedings of the The Twenty-Sixth Annual International Symposium on Fault-Tolerant Computing (FTCS '96)
Reservation storage policy for AS/RS at air cargo terminals
WSC '05 Proceedings of the 37th conference on Winter simulation
UML-Based Modeling for What-If Analysis
DaWaK '08 Proceedings of the 10th international conference on Data Warehousing and Knowledge Discovery
A process algebra based simulation model of a miniload-workstation order picking system
Computers in Industry
A novel predictive control based framework for optimizing intermodal container terminal operations
ICCL'12 Proceedings of the Third international conference on Computational Logistics
Quantifying the value of rfid in air cargo handling process: a simulation approach
Proceedings of the Winter Simulation Conference
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This paper presents the development and the application of simulation models for air cargo terminal operations. As air cargo volume is fast increasing in recent years, air cargo terminals which handle cargos for carriers face challenges to streamline their operations. Air cargo terminals employ diverse storage media and are also equipped with various material handling equipments. Due to the complex and stochastic nature of terminal operations, which makes formulation of analytical model difficult, in this study, simulation models are developed to analyze the air cargo terminal operations. We first employ timed CPN (Colour Petri nets) to model the terminal operations, and then the corresponding simulation model will be developed. In order to validate this simulation model, we run the model based on actual cargo retrieval schedules obtained from an air cargo terminal. The results show that this model provides a good estimate of the terminal performance. The model is then employed to analyze the performance of the airline assignment policy for the objective of minimizing the cargo processing times, and the results show that the proposed policy significantly improves the operational performance of air cargo terminals. Second, the simulation model is employed to analyze the performance of an AS/RS (Automated Storage and Retrieval System), and the performance of the proposed storage policy is compared with that of the current policy. The simulation experiment also validates the optimal parameter value from the analytic model. The developed models simulate air cargo terminal operations effectively and efficiently, and will aid future studies in the design and control of terminal operations.