Disease management research using event graphs
Computers and Biomedical Research
Simulation modeling with event graphs
Communications of the ACM
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Scientific Computing and Differential Equations: An Introduction to Numerical Methods
Scientific Computing and Differential Equations: An Introduction to Numerical Methods
Theory of Modeling and Simulation
Theory of Modeling and Simulation
An accelerated-time simulation of departing passengers' flow in airport terminals
Mathematics and Computers in Simulation - Special issue: Applications of computer algebra in science, engineering, simulation and special software
Constructing multi-point discrete event integration schemes
WSC '05 Proceedings of the 37th conference on Winter simulation
Simple movement and detection in discrete event simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Proceedings of the 40th Conference on Winter Simulation
The effects of time advance mechanism on simple agent behaviors in combat simulations
Proceedings of the Winter Simulation Conference
Cross-paradigm simulation modeling: challenges and successes
Proceedings of the Winter Simulation Conference
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Many combat and agent-based models use time-step as their simulation time advance mechanism. Since time discretization is known to affect the results when numerically solving differential equations, it stands to reason that it might likewise affect the results of such simulations. This paper demonstrates that is indeed the case. Using simple queueing models, we demonstrate that the size of the time step can have a substantial impact on estimated measures of performance. While large time steps can execute faster than a corresponding discrete event model, there can be substantial errors in the estimates. Conversely, with small time steps the results match both the discrete event measures as well as the analytic values, but can take substantially longer to execute.