Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.cie.2006.07.002
Title: Development of timed Colour Petri net simulation models for air cargo terminal operations
Authors: Lee, C.
Huang, H.C. 
Liu, B.
Xu, Z.
Keywords: Air cargo terminal
Airline assignment
AS/RS storage policy
Colour Petri nets
Discrete event simulation
Issue Date: Sep-2006
Source: Lee, C., Huang, H.C., Liu, B., Xu, Z. (2006-09). Development of timed Colour Petri net simulation models for air cargo terminal operations. Computers and Industrial Engineering 51 (1) : 102-110. ScholarBank@NUS Repository. https://doi.org/10.1016/j.cie.2006.07.002
Abstract: 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. © 2006 Elsevier Ltd. All rights reserved.
Source Title: Computers and Industrial Engineering
URI: http://scholarbank.nus.edu.sg/handle/10635/63095
ISSN: 03608352
DOI: 10.1016/j.cie.2006.07.002
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