Abstract
An agent based simulator for evaluating operational policies in the transshipment of containers in a container terminal is described. The simulation tool, called SimPort, is a decentralized approach to simulating managers and entities in a container terminal. We use real data from a container terminal, for evaluating eight transshipment policies. The simulation results indicate that good choices of yard stacking and berthing position polices can lead to faster ship turn-around times, for instance, the Overall Time Shortening policy offers a lower cost and when combined with a Shortest Job First sequencing of arriving ships on average yielded a faster ship turn around time. The results also indicated, with respect to the studied performance measures that Stacking by Destination is a good choice of policy.
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References
Davidson, N.: A global capacity assessment and needs analysis. In: Proceedings of the 39th Terminal Operating Conference, Antwerp, Belgium (2005)
Frankel, E.G.: Port Planning and Development. John Wiley & Sons, New York (1987)
De Monie, G.: Inter-port cooperation and competition: developing trans-shipment operations in the Mediterranean Environmental Scanning in Ports. In: Proceedings of the Fourth MedTrade 2006. St. Julians, Malta (2006)
Vis, I.F.A., de Koster, R.: Transshipment of containers at a container terminal: An overview. European Journal of Operational Research 147, 1–16 (2003)
Meersmans, P.J.M., Dekker, R.: Operations Research supports container handling. Technical Report, The Netherlands Econometric Institute Report EI 2001-22, Econometric Institute, Erasmus University, Rotterdam, November 2 (2001)
Steenken, D.D., Vos, S., Stahlback, R.: Container terminal operations and operations research - a classification and literature review. OR Spectrum 26, 3–49 (2004)
Henesey, L.: Enhancing Container Terminals: A Multi-Agent Systems Approach. Licentiate Thesis. Department of Systems and Software Engineering, Blekinge Institute of Technology, Sweden, pp. 1–132 (2004)
Liu, C.-I., Hossein, J., Ioannou, P.A.: Design, Simulation, and Evaluation of Auto-mated Container Terminals. IEEE Transaction on Intelligent transportation systems 3, 12–26 (2002)
Buchheit, M., Kuhn, N., Müller, J.P., Pischel, M.: MARS: Modeling a multiagent scenario for shipping companies. In: Proceedings of the European Simulation Symposium (ESS1992), Dresden, Germany (1992)
Degano, C., Pellegrino, A.: Multi-Agent Coordination and Collaboration for Control and Optimization Strategies in an Intermodal Container Terminal. In: Proceedings of the IEEE International Engineering Management Conference (IEMC 2002), Cambridge, UK (2002)
Gambardella, L.M., Rizzoli, A.E., Zaffalon, M.: Simulation and planning of an inter-modal container terminal. Simulation 71, 107–116 (1998)
Rebollo, M., Vicente, J., Carrascosa, C., Botti, V.: A Multi-Agent System for the Automation of a Port Container Terminal. In: Proceedings of Autonomous Agents 2000 workshop on Agents in Industry, Barcelona, Spain (2000)
Rebollo, M., Vicente, J., Carrascosa, C., Botti, V.: A MAS Approach for Port Container Terminal Management. In: Proceedings of the 3rd Iberoamerican workshop on DAIMAS, Atiaia, Sao Paulo, Brazil (2001)
Lee, T.-W., Park, N.-K., Lee, D.-W.: Design of Simulation System for Port Resources Availability in Logistics Supply Chain. In: Proceedings of the International Association of Maritime Economists Annual Conference (IAME 2002), Panama City, Panama (2002)
Carrascosa, C., Rebollo, M., Vicente, J., Botti, V.: A MAS Approach for Port Container Terminal Management: The Transtainer Agent. In: Proceedings of the International Conference on Information Systems, Analysis and Synthesis, Orlando, US (2001)
Thurston, T., Hu, H.: Distributed Agent Architecture for Port Automation. In: Proceedings of the 26th International Computer Software and Applications Conference (COMPSAC 2002). Oxford, UK (2002)
Ocean Shipping Consultants: European and Mediterranean Containerport Markets to 2015. Ocean Shipping Consultants, Ltd., Surrey, UK (2006)
Baird, A.: Optimising the container transhipment hub location in northern Europe. Journal of Transport Geography (in press, 2006)
Wilson, I.D., Roach, P.A.: Container stowage planning: a methodology for generating computerised solutions. Journal of the Operational Research Society 2000, 1248–1255 (2000)
Henesey, L.: Agent Based Simulation for Evaluating the Operational Policies in the Tran-shipping of Containers. Transportation Review (submitted for publication, 2005)
Wooldridge, M.: An Introduction to Multi Agent Systems. John Wiley and Sons Ltd., West Sussex (2002)
Wernstedt, F.: An Overview. Blekinge Institute of Technology, Karlskrona, Sweden (manuscript, 2001)
Parunak, H.V.D., Savit, R., Riolo, R.L.: Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users’ Guide. In: Sichman, J.S., Conte, R., Gilbert, N. (eds.) MABS 1998. LNCS, vol. 1534, pp. 10–25. Springer, Heidelberg (1998)
Henesey, L., Notteboom, T., Davidsson, P.: Agent-based simulation of stakeholders relations: An approach to sustainable port and terminal management. In: Proceedings of the International Association of Maritime Economists Annual Conference (IAME 2003), Busan, Korea (2003)
TTS AB Port Equipment AB. Gothenburg, Sweden (Internet site: visited last July 03, 2006), http://www.tts-hs.no/
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Henesey, L., Davidsson, P., Persson, J.A. (2006). Agent Based Simulation Architecture for Evaluating Operational Policies in Transshipping Containers. In: Fischer, K., Timm, I.J., André, E., Zhong, N. (eds) Multiagent System Technologies. MATES 2006. Lecture Notes in Computer Science(), vol 4196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11872283_7
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DOI: https://doi.org/10.1007/11872283_7
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