Advantages of the activity scanning approach in the modeling of complex construction processes
WSC '95 Proceedings of the 27th conference on Winter simulation
Simulation of complex construction processes
WSC '96 Proceedings of the 28th conference on Winter simulation
EZStrobe—general-purpose simulation system based on activity cycle diagrams
Proceedings of the 30th conference on Winter simulation
Automatic simulation model generation for simulation-based, real-time shop floor control
Computers in Industry
On simulation model complexity
Proceedings of the 32nd conference on Winter simulation
Simphony: an integrated environment for construction simulation
Proceedings of the 32nd conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Cipros: knowledge-based construction integrated project and process planning simulation system
Cipros: knowledge-based construction integrated project and process planning simulation system
Methods and tools for aerospace operations modeling and simulation: modeling the space shuttle
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
An ontology-driven framework for process-oriented applications
WSC '05 Proceedings of the 37th conference on Winter simulation
Using ontologies for simulation modeling
Proceedings of the 38th conference on Winter simulation
How to build valid and credible simulation models
Proceedings of the 40th Conference on Winter Simulation
Proceedings of the 40th Conference on Winter Simulation
Rapid deployment of simulation models for building construction applications
Winter Simulation Conference
From data to simulation models: component-based model generation with a data-driven approach
Proceedings of the Winter Simulation Conference
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This paper compares two fundamentally different approaches and their efforts to create functional simulation models to analyze and optimize construction operations. It contrasts the traditional manually created discrete-event simulation with an automated simulation model generation engine. While input data remain the same for both, the former requires a user to extensively determine, creates, and connects the different elements, followed by an often time-consuming verification to correct flaws in details. The latter has the proven potential to radically reduce the time, cost, and skills of creating complex models by using process templates from which models for construction applications can be rapidly deployed. Moving from the traditional paradigm to automated, yet user-supervised modeling can finally make the rich body of knowledge in simulation accessible to practitioners, who can reap new benefits from being able to rehearse their projects in the computer and optimize their processes before any costly physical resources are committed.