A simulation model of port operations during crisis conditions
Authors: 
Tugce G. Martagan, Burak Eksioglu, Sandra D. Eksioglu, Allen G. GreenwoodAuthors Info & Claims
Tugce G. Martagan, Burak Eksioglu, Sandra D. Eksioglu, Allen G. GreenwoodAuthors Info & ClaimsPages 2832 - 2843
Abstract
We consider the supply chain for containerized items that arrive at a port in the U. S. whose final destination is also in the U. S. Ports are important entities in global supply chains. As such, when a port cannot operate because of a crisis, such as a natural or man-made disaster, it is critical that freight flow is not disrupted. We develop a simulation model that can be used to make effective re-routing decisions so that the time for freight to reach its final destination is not significantly increased in a crisis. The simulation model will evaluate and report the performance of the supply chain under different re-routing strategies. The output can be analyzed to find the best re-routing strategy that minimizes congestion and delays during crisis conditions. The model can also be used by various decision makers such as port managers, ocean carriers, or transportation companies for strategic decision making.
References
[1]
American Association of Port Authorities. 2007. U. S. Ports Cargo Tonnage Rankings. Available via <http://www.aapa-ports.org/Industry/content.cfm?ItemNumber=900&navItemNumber=551>> {accessed March 16, 2009}.
[2]
American Association of Port Authorities. 2007. North American Port-Container Traffic. Available via <http://www.aapa-ports.org/Industry/content.cfm?ItemNumber=900&navItemNumber=551>> {accessed March 16, 2009}.
[3]
Barnes, P., and R. Oloruntoba. 2005. Assurance of security in maritime supply chains: Conceptual issues of vulnerability and crisis management. Journal of International Management 11:19--540.
[4]
Biederman, D. 2007. Risky Business. Traffic World May 7: 18--23.
[5]
Chang, Y., and C. Chen. 2006. Knowledge-based simulation of bunkering services in the port of Kaohsiung. Civil Engineering and Environmental Systems 23: 21--34.
[6]
Cortes, P., J. Munuzuri, J. N. Ibanez, and J. Guadix. 2007. Simulation of freight traffic in the Seville inland port. Simulation Modeling Practice and Theory 15:256--271.
[7]
Dahal, K., S. Galloway, G. Burt, and J. Mcdonald. 2003. A Port System Simulation Facility with an Optimization Capability. International Journal of Computational Intelligence and Applications 3:395--410.
[8]
Hale, T., and C. R. Moberg. 2005. Improving supply chain disaster preparedness: A decision process for secure site location. International Journal of Physical Distribution & Logistics Management 35:195--208.
[9]
Juttner, U. 2005. Supply chain risk management. The International Journal of Logistics Management 16:120--141.
[10]
Lee, H., L. 2004. The Triple-A Supply Chain. Harvard Business Review
[11]
McCown, B. A. 2005. Intermodal Transportation Challenges of the 21<sup>st</sup> Century. Forth Worth.
[12]
National Chamber Foundation of the U. S. Chamber of Commerce. 2003. Trade and Transportation: A Study of North American Port and Intermodal Systems.
[13]
Rensburg, J. J. Van, Y. He, and A. J. Kleywegt. 2005. A Computer Simulation Model of Container Movement by Sea. In Proceedings of the 2005 Winter Simulation Conference, ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, 1559--1566.
[14]
Sasso, D., and W. E. Biles. 2008. An Object-Oriented programming approach for a GIS data-driven simulation model of traffic on an inland waterway. In Proceedings of the 2008 Winter Simulation Conference, ed. S. J. Mason, R. R. Hill, L. Mönch, O. Rose, T. Jefferson, J. W. Fowler.
[15]
Sheffi, Y. 2001. Supply Chain Management under the Threat of International Terrorism. International Journal of Logistics Management 12:1--11.
[16]
Statistics on U. S. transportation Systems. Available via <http://www.thesafetylibrary.com> {accessed March 16, 2009}.
[17]
Tang, C. 2006. Perspectives in supply chain risk management. International Journal of Production Economics 103:451--488.
[18]
Valentin, E. C., S. Steijaert, and R. A. Bijlsma. 2005. Approach for Modeling of Large Maritime Infrastructure Systems. In Proceedings of the 2005 Winter Simulation Conference, ed. M. E. Kuhl, N. M. Steiger, F. B. Armstrong, and J. A. Joines, 1577--1585.
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- A simulation model of port operations during crisis conditions
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- IIE: Institute of Industrial Engineers
- INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
- SIGSIM: ACM Special Interest Group on Simulation and Modeling
- SCS: Society for Modeling and Simulation International
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Winter Simulation Conference
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Published: 13 December 2009
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WSC09
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WSC '09 Paper Acceptance Rate 137 of 256 submissions, 54%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%
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