Resource optimization of construction operations using AOA-based simulation

In an effort to improve productivity and optimize resource use, the activity-on-arrow (AOA) approach is used in this paper to model and simulate real-world complex construction operations. First, simulation models for two construction operations of a large-size real-world international project were developed. Several experiments on these models were then conducted using different resource combinations to arrive at the best combination that improves productivity and reduces the operational cost. The developed models were used to experiment with different resource alternatives and overtime options for a single project and repetitive projects in order to arrive at the best alternatives that provide the least total direct cost or the shortest completion time for the two operations. The potential of using this approach for resource optimization of large infrastructure networks was then investigated and, finally, possible future extensions to the present study were discussed.