Agent Based Simulation Architecture for Evaluating Operational Policies in Transshipping Containers

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.

[1]  Won Young Yun,et al.  A simulation model for container-terminal operation analysis using an object-oriented approach , 1999 .

[2]  Damminda Alahakoon,et al.  Collaborative neuro-BDI agents in container terminals , 2004, 18th International Conference on Advanced Information Networking and Applications, 2004. AINA 2004..

[3]  Don T. Phillips,et al.  A state-of-the-art survey of dispatching rules for manufacturing job shop operations , 1982 .

[4]  Iris F. A. Vis,et al.  Transshipment of containers at a container terminal: An overview , 2003, Eur. J. Oper. Res..

[5]  G. I. Green,et al.  An empirical analysis of job shop dispatch rule selection , 1981 .

[6]  Luca Maria Gambardella,et al.  Simulation and Planning of an Intermodal Container Terminal , 1998, Simul..

[7]  Paul Davidsson,et al.  Evaluating Container Terminal Transhipment Operational Policies : An Agent-Based Simulation Approach , 2006 .

[8]  Paul Davidsson,et al.  An Analysis of Agent-Based Approaches to Transport Logistics , 2005 .

[9]  Stefan Voß,et al.  Container terminal operation and operations research — a classification and literature review , 2004 .

[10]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[11]  Damminda Alahakoon,et al.  Hybrid BDI agents with improved learning capabilities for adaptive planning in a container terminal application , 2004 .

[12]  Rommert Dekker,et al.  Operations research supports container handling , 2001 .

[13]  Michael Wooldridge,et al.  Introduction to multiagent systems , 2001 .

[14]  C. Degano,et al.  Multi-agent coordination and collaboration for control and optimization strategies in an intermodal container terminal , 2002, IEEE International Engineering Management Conference.

[15]  Carlos Carrascosa,et al.  A Multi-Agent System for the Automation of a Port Container Terminal , 2000 .

[16]  Ernst G. Frankel,et al.  Port planning and development , 1987 .

[17]  Huosheng Hu,et al.  Distributed agent architecture for port automation , 2002, Proceedings 26th Annual International Computer Software and Applications.

[18]  I. D. Wilson,et al.  Container stowage planning: a methodology for generating computerised solutions , 2000, J. Oper. Res. Soc..

[19]  Petros A. Ioannou,et al.  Design, simulation, and evaluation of automated container terminals , 2002, IEEE Trans. Intell. Transp. Syst..

[20]  Carlos Carrascosa,et al.  A MAS Approach for Port Container Terminal Management: The Transtainer Agent , 2001 .

[21]  Paul A. Twelker Simulation: An Overview. , 1968 .

[22]  Carlos Angel Iglesias,et al.  Analysis and Design of Multiagent Systems Using MAS-Common KADS , 1997, ATAL.

[23]  Paul Davidsson,et al.  Agent-based simulation of stakeholders relations: an approach to sustainable port and terminal management , 2004 .

[24]  Alfred J. Baird,et al.  Optimising the Container Transhipment Hub Location in Northern Europe , 2006 .

[25]  Paul Davidsson,et al.  Agent-based simulation of stakeholders relations : An approach to sustainable port terminal management , 2003 .

[26]  H. Van Dyke Parunak,et al.  Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide , 1998, MABS.

[27]  Lawrence Henesey,et al.  Multi-Agent Systems for Container Terminal Management , 2006 .