Simulation Modeling for Analysis and Evaluation of the Internal Handling Fleet System at Shahid Rajaee Container Port
The dramatic increasing of sea-freight container
transportations and the developing trends for using containers in the
multimodal handling systems through the sea, rail, road and land in
nowadays market cause general managers of container terminals to
face challenges such as increasing demand, competitive situation,
new investments and expansion of new activities and need to use new
methods to fulfil effective operations both along quayside and within
the yard. Among these issues, minimizing the turnaround time of
vessels is considered to be the first aim of every container port
system. Regarding the complex structure of container ports, this
paper presents a simulation model that calculates the number of
trucks needed in the Iranian Shahid Rajaee Container Port for
handling containers between the berth and the yard. In this research,
some important criteria such as vessel turnaround time, gantry crane
utilization and truck utilization have been considered. By analyzing
the results of the model, it has been shown that increasing the number
of trucks to 66 units has a significant effect on the performance
indices of the port and can increase the capacity of loading and
unloading up to 10.8%.
[1] I. Vacca, M. Bierlaire, M. Salani, Optimization at Container Terminals:
Status, Trends and Perspectives. 7 Th Swiss 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. Multiagent System Technologies. LNAI, Vol. 4196,
Springer, pp. 73-85, 2006.
[3] D. Nazari, Hundred Container Port in the Word. Port And See , 97-98 ,
2003.
[4] A. Rushton, J. Oxley, The Handbook of Logistics and Distribution
Management, Glasgow, UK, Bell & Bain Ltd. 2001.
[5] E. Kozan, Comparison Of Analytical And Simulation Planning Models
Of Seaport Container Terminals, Transportation Planning And
Technology 20 (3), 235-248. 1997.
[6] 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.
[7] W. Chih Huang, T. Cheng Kuo, S. Chieh Wu, A Comparison of
Analytical Methods ond Simulation for Container Terminal Planning,
Journal of the Chinese Institute of Industrial Engineers, Vol. 24, No. 3,
pp. 200- 209, 2007.
[8] 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.
[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, 2009.
[10] P. I.Collier , Simulation as an Aid to The Study of a Port as a System,
Ship Operation Automation III, 51-6 , 1980.
[11] H. B. Kim, Kim K. H. The Optimal Determination of the Space
Requirement and the Number of Transfer Cranes for Import Containers,
Computers and Industrial Engineering Vol. 35, Nos. 3-4 , 427-430,
Elsevier, 1998.
[12] C. H. Yang, Y. S. Choi, T. Y. Ha, Simulation-Based Performance
Evaluation of Transport Vehicles At Automated Container Terminals,
OR Spectrum 26 ,149-170, 2004.
[13] M. Itmi, M. Maria, A. Balle Ndiaye, J. Pruni Ras, Simulating Operations
Policies in a Container Terminal, Summer Computer Simulation
Conference , 1-5; Cs.Org. 2001.
[14] S. Kang , C. Medina , Y. Ouyang , Optimal Operations of Transportation
Fleet for Unloading Activities at Container Ports, Transportation
Research Part B 42 , 970-984,2001.
[15] A. M.Law,W. D. Kelton, Simulation Modeling and Analysis, 3rd Ed.
New York: Mcgraw Hill. 2000.
[16] A. Chung, Simulation Modeling Hand Book: A Practical Approach,
CRC Press LLC, 2000 New York.
[17] P. Sgouridis, C. Angelides , Simulation-Based Analysis of Handling
Inbound Containers in a Terminal, Proceedings of the Winter
Simulation Conference, 2002.
[1] I. Vacca, M. Bierlaire, M. Salani, Optimization at Container Terminals:
Status, Trends and Perspectives. 7 Th Swiss 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. Multiagent System Technologies. LNAI, Vol. 4196,
Springer, pp. 73-85, 2006.
[3] D. Nazari, Hundred Container Port in the Word. Port And See , 97-98 ,
2003.
[4] A. Rushton, J. Oxley, The Handbook of Logistics and Distribution
Management, Glasgow, UK, Bell & Bain Ltd. 2001.
[5] E. Kozan, Comparison Of Analytical And Simulation Planning Models
Of Seaport Container Terminals, Transportation Planning And
Technology 20 (3), 235-248. 1997.
[6] 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.
[7] W. Chih Huang, T. Cheng Kuo, S. Chieh Wu, A Comparison of
Analytical Methods ond Simulation for Container Terminal Planning,
Journal of the Chinese Institute of Industrial Engineers, Vol. 24, No. 3,
pp. 200- 209, 2007.
[8] 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.
[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, 2009.
[10] P. I.Collier , Simulation as an Aid to The Study of a Port as a System,
Ship Operation Automation III, 51-6 , 1980.
[11] H. B. Kim, Kim K. H. The Optimal Determination of the Space
Requirement and the Number of Transfer Cranes for Import Containers,
Computers and Industrial Engineering Vol. 35, Nos. 3-4 , 427-430,
Elsevier, 1998.
[12] C. H. Yang, Y. S. Choi, T. Y. Ha, Simulation-Based Performance
Evaluation of Transport Vehicles At Automated Container Terminals,
OR Spectrum 26 ,149-170, 2004.
[13] M. Itmi, M. Maria, A. Balle Ndiaye, J. Pruni Ras, Simulating Operations
Policies in a Container Terminal, Summer Computer Simulation
Conference , 1-5; Cs.Org. 2001.
[14] S. Kang , C. Medina , Y. Ouyang , Optimal Operations of Transportation
Fleet for Unloading Activities at Container Ports, Transportation
Research Part B 42 , 970-984,2001.
[15] A. M.Law,W. D. Kelton, Simulation Modeling and Analysis, 3rd Ed.
New York: Mcgraw Hill. 2000.
[16] A. Chung, Simulation Modeling Hand Book: A Practical Approach,
CRC Press LLC, 2000 New York.
[17] P. Sgouridis, C. Angelides , Simulation-Based Analysis of Handling
Inbound Containers in a Terminal, Proceedings of the Winter
Simulation Conference, 2002.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:54109", author = "Parham Azimi and Mohammad Reza Ghanbari", title = "Simulation Modeling for Analysis and Evaluation of the Internal Handling Fleet System at Shahid Rajaee Container Port", abstract = "The dramatic increasing of sea-freight container
transportations and the developing trends for using containers in the
multimodal handling systems through the sea, rail, road and land in
nowadays market cause general managers of container terminals to
face challenges such as increasing demand, competitive situation,
new investments and expansion of new activities and need to use new
methods to fulfil effective operations both along quayside and within
the yard. Among these issues, minimizing the turnaround time of
vessels is considered to be the first aim of every container port
system. Regarding the complex structure of container ports, this
paper presents a simulation model that calculates the number of
trucks needed in the Iranian Shahid Rajaee Container Port for
handling containers between the berth and the yard. In this research,
some important criteria such as vessel turnaround time, gantry crane
utilization and truck utilization have been considered. By analyzing
the results of the model, it has been shown that increasing the number
of trucks to 66 units has a significant effect on the performance
indices of the port and can increase the capacity of loading and
unloading up to 10.8%.", keywords = "Container Terminal, Gantry Crane Utilization,Simulation, Vessel Turnaround Time", volume = "5", number = "6", pages = "1004-12", }