Development of timed colour Petri net simulation models for air cargo terminal operations

  • Authors:

  • Chulung Lee;Huei Chuen Huang;Bin Liu;Zhiyong Xu

  • Affiliations:

  • Department of Industrial Systems and Information Engineering, Korea University, Anamdong, Sungbuk-gu, Seoul, Republic of Korea;Department of Industrial and Systems Engineering National University of Singapore, Singapore;Department of Industrial and Systems Engineering National University of Singapore, Singapore;Department of Industrial and Systems Engineering National University of Singapore, Singapore

  • Venue:
  • Computers and Industrial Engineering - Special issue: Computational intelligence and information technology applications to industrial engineering selected papers from the 33 rd ICC&IE
  • Year:
  • 2006

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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.