Simulation Modeling and Analysis
Simulation Modeling and Analysis
Introduction to Multiagent Systems
Introduction to Multiagent Systems
Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide
Proceedings of the First International Workshop on Multi-Agent Systems and Agent-Based Simulation
Distributed Agent Architecture for Port Automation
COMPSAC '02 Proceedings of the 26th International Computer Software and Applications Conference on Prolonging Software Life: Development and Redevelopment
Analysis and Design of Multiagent Systems Using MAS-Common KADS
ATAL '97 Proceedings of the 4th International Workshop on Intelligent Agents IV, Agent Theories, Architectures, and Languages
Collaborative Neuro-BDI Agents in Container Terminals
AINA '04 Proceedings of the 18th International Conference on Advanced Information Networking and Applications - Volume 2
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
Design, simulation, and evaluation of automated container terminals
IEEE Transactions on Intelligent Transportation Systems
Agent-based container terminal optimisation
MATES'11 Proceedings of the 9th German conference on Multiagent system technologies
MicroPort: A general simulation platform for seaport container terminals
Advanced Engineering Informatics
A case study in model selection for policy engineering: simulating maritime customs
AAMAS'11 Proceedings of the 10th international conference on Advanced Agent Technology
Simulation modelling challenge of transportation logistics systems
International Journal of Business Information Systems
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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. Real data from two container terminals are used as input for evaluating eight transshipment policies. The policies concern the sequencing of ships, berth allocation, and stacking rule. They are evaluated with respect to a number of aspects, such as, turn-around time for ships and traveled distance of straddle carriers. The simulation results indicate that a good choice in yard stacking and berthing position policies can lead to faster ship turn-around times. For instance, in the terminal studied the Overall-Time-Shortening policy offers fast turn-around times when combined with a Shortest-Job-First sequencing of arriving ships.