Business Dynamics
Tutorial on agent-based modeling and simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Tutorial on agent-based modeling and simulation part 2: how to model with agents
Proceedings of the 38th conference on Winter simulation
Agent based simulation architecture for evaluating operational policies in transshipping containers
Autonomous Agents and Multi-Agent Systems
Expert Systems with Applications: An International Journal
Hybrid simulation models - When, Why, How?
Expert Systems with Applications: An International Journal
Agent-based analysis and simulation of the consumer airline market share for Frontier Airlines
Knowledge-Based Systems
Improving the understanding of BAM technology for real-time decision support
International Journal of Business Information Systems
Upstream supply chain benefits from e-markets in the UK higher education sector
International Journal of Business Information Systems
The role of information and communication technologies in paper consumption
International Journal of Business Information Systems
Multimodal transport information system: modelling approach for goods traceability
International Journal of Business Information Systems
MicroPort: A general simulation platform for seaport container terminals
Advanced Engineering Informatics
International Journal of Business Information Systems
A hybrid analysis method for multi-class queueing networks with multi-server nodes
Decision Support Systems
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Simulation has been used in operations management discipline for decades, but applications in transportation logistics have been rather scarce. Situation is the same in rapid modelling sub-branch. This is mostly due to the reason of needs in high computing power, sophistication of artificial intelligence, and integration of other data sources to the simulation models. However, with ever increasing global trade and derived transportation needs, economically and ecologically sustainable solutions are sought for. We illustrate challenges in this branch with two agent-based simulation models and with one system dynamics model. These are all based on real life observations and data. Complexity and time of model building is likely to increase with this stated problem area, but rapid modelling part is enabled with different scenarios, optimisation and Monte Carlo features during simulation run, but also with feature to put models online to internet and enable significant user interaction.