Simulation modeling with event graphs
Communications of the ACM
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Simkit: component based simulation modeling with Simkit
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Modeling very large scale systems: building complex models with LEGOs (Listener Event Graph Objects)
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Work smarter, not harder: guidelines for designing simulation experiments
WSC '05 Proceedings of the 37th conference on Winter simulation
Work smarter, not harder: guidelines for designing simulation experiments
Proceedings of the 38th conference on Winter simulation
Work smarter, not harder: guidelines for designing simulation experiments
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
An integrated system for underwater warfare simulation
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
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Navy personnel use the REMUS unmanned underwater vehicle to search for submerged objects. Navigation inaccuracies lead to errors in predicting the location of objects and thus increase post-mission search times for explosive ordnance disposal teams. This paper explores components of navigation inaccuracy using discrete event simulation to model the vehicle's navigation system and operational performance. The simulation generates data used, in turn, to build statistical models of the probability of detection, the mean location offset given that detection occurs, and the location error distribution. Together, these three models enable operators to explore the impact of various inputs prior to programming the vehicle, thus allowing them to choose combinations of vehicle parameters that reduce the offset error between the reported and actual locations.