Simulating the behavior of trade crews in construction using agents and building information modeling

Simulation is particularly useful for testing different production control and information flow methods in construction, because field experiments suffer from difficulties with isolating cause and effect. Existing methods such as Discrete Event Simulation are limited in their ability to model the behavior of crews and of individuals who make decisions subject to their perceptions of uncertain conditions. Agent-Based Simulation may offer a better solution because agents can be applied with behavioral models. The aim of this work was to build an experimental tool capable of reflecting the emergent nature of production in construction. This required capturing trade crew behaviors through interviews and encapsulating the behavior in software agents. The system models trades’ decision-making and situational awareness while using a Building Information Model to define the physical and the process environment for the simulation. The resulting simulation tool was validated by testing predictable scenarios, which resulted in similar patterns to those found in an actual construction site. It was then applied to explore the emergent outcomes of more complex scenarios