Cyclic update of project scheduling by using telematics data

Discrete-event simulation (DES) is not really used in construction industries that require more flexibility. However, use cases can be found where DES can support the construction industries. One use case is schedule optimization. This paper presents an agent-based DES method for optimizing schedules in the construction industry taking resource-dependent process-lengths into account. The approach is based on a theoretical level. Furthermore, there is a high potential when it is updated with actual equipment data. Therefore, we combine the project schedule optimization with a detailed model to update the equipment activities using a cyclic approach. This hybrid simulation approach is evaluated by taking a real use case of pile manufacture as an example. The results show the possibilities for the combination of different types of DES models in the context of the optimization of construction site performance.