Simulation-Based Optimization in Performance Evaluation of Marshaling Yard Storage Policy in a Container Port
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Simulation-Based Optimization in Performance Evaluation of Marshaling Yard Storage Policy in a Container Port

Authors: Mohammad Reza Ghanbari, Parham Azimi, Farrokh Abdollahi

Abstract:

Since the last two decades, container transportation system has been faced under increasing development. This fact shows the importance of container transportation system as a key role of container terminals to link between sea and land. Therefore, there is a continuous need for the optimal use of equipment and facilities in the ports. Regarding the complex structure of container ports, this paper presents a simulation model that compares tow storage strategies for storing containers in the yard. For this purpose, we considered loading and unloading norm as an important criterion to evaluate the performance of Shahid Rajaee container port. By analysing the results of the model, it will be shown that using marshalling yard policy instead of current storage system has a significant effect on the performance level of the port and can increase the loading and unloading norm up to 14%.

Keywords: Simulation Modeling, Container Port, Marshaling Yard, Storage Policy

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1079686

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[1] I. Vacca, M. Bierlaire, M. Salani, "Optimization at Container Terminals: Status, Trends and Perspectives," 7thSwiss Transport Research Conf. Monte Verita /Ascona, September 12-14. 2007.
[2] L. Henesey, P. Davidsson, J. A. Persson, "Agent Based Simulation Architecture for Evaluating Operational Policies in Transshipping Containers," Multi agent System Technologies, LNAI, Vol. 4196, Springer, pp, 73-85, 2006.
[3] D. Nazari, "Hundred Container Ports in the Word," Port and See, 97-98, 2011.
[4] E. Kozan, "Comparison of analytical and simulation planning models of seaport container terminals," transportation planning and technology, 20 (3), 235-248, 1997.
[5] A. A. Shabayek, W. W. Yeung, "Simulation Model for the Kwai Chung Container Terminals in Hong Kong," European Journal of Operational Research, 140, 1-11, 2002.
[6] W. Young Yun, Y. Seok Choi, "A Simulation Model for Container Terminal Operation Analysis Using an Object-Oriented Approach," Int. J. Production Economics, 59, 221-230, 1999.
[7] P. Azimi, M. R. Ghanbari, "Simulation Modeling for Analysis and Evaluation of the Internal Handling Fleet System at Shahid Rajaee Container Port," World Academy of Science, Engineering and Technology Proceedings, 78, 644-655, 2011.
[8] Y. C., Chung and S. U. hawa, "A simulation analysis for a transtainerbased container handling facility," Computers and Industrial Engineering, 14 (2) 113-125, 1988.
[9] A. Cartenì, G. E. Cantarella, G. E. De Luca, "Simulation of a Container Terminal through a Discrete Event Approach: Literature Review and Guidelines for Application," Technical Paper, Dept. of Civil Engineering, University Of Salerno, European Transport Conference, 2009 Proceedings.
[10] I. F. A., Vis, R. de Koster, and M. Savelsbergh, "Minimum vehicle fleet size under time-window constraints at a container terminal," Transportation Science, 39: 249-260, 2005.
[11] L. H., Lee, E. P., Chew, K. C., Tan and Y. Han, "An optimization model for storage yard management in transshipment hubs," OR Spectrum, 28: 539-561, 2006.
[12] Y., Lee, and N. Y., Hsu, "An optimization model for the container premarshalling problem," Computers and Operations Research, 34: 3295- 3313, 2007.
[13] Y. Yong and Y. Yang, "Evaluation of Marshaling Yard Layout with Game Theory," Proceedings of the 2010 International Conference of Logistics Engineering and Management, Volume V.
[14] S. P. J. Hilkens, M.s Thesis, "Pre-stacking at a large transshipment terminal trade-off between the costs of segregation and quay crane productivity," Eindhoven University of Technology, 2002.
[15] A. M. Law, W. D. Kelton, Simulation Modeling and Analysis, 3rd Ed. New York: Mcgraw Hill. 2000.