General purpose simulation with stroboscope
WSC '94 Proceedings of the 26th conference on Winter simulation
Advantages of the activity scanning approach in the modeling of complex construction processes
WSC '95 Proceedings of the 27th conference on Winter simulation
Scalable simulation models for construction operations
WSC '96 Proceedings of the 28th conference on Winter simulation
Project scheduling using state-based probablistic decision networks
Proceedings of the 30th conference on Winter simulation
The use of simulation for construction elements manufacturing
Proceedings of the 30th conference on Winter simulation
Construction of a dam embankment with nonstationary queues
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Who serves whom? dynamic resource matching in an activity-scanning simulation system
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Simulation of multiple-drift tunnel construction with limited resources
WSC '05 Proceedings of the 37th conference on Winter simulation
Intelligent preemption in construction of a manmade island for an airport
WSC '05 Proceedings of the 37th conference on Winter simulation
Proceedings of the 40th Conference on Winter Simulation
Rapid deployment of simulation models for building construction applications
Winter Simulation Conference
Loosely coupled visualization of industrial construction simulation using a gaming engine
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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Eight successively refined simulation models for the earthmoving operations involved in the construction of a dam provide the foundation for illustrating the ease and effectiveness of modeling complex construction processes by using STROBOSCOPE, a modern simulation system based on a programming language that follows the activity-scanning paradigm. This approach and the use of characterized resources in a stochastic environment make the typical engineering calculations for heavy equipment performance relatively easy to implement and significantly more realistic and accurate.