Construction scheduling and resource allocation based on actual state data

Construction projects are subject to unexpected factors (such as weather, soil conditions etc.) which cause frequent changes in baseline schedules. Yet, existing precedence diagrams (PERT, CPM) cannot provide reliable results to handle the complexity of an ideal resource allocation (Resource Constrained Project Scheduling Problem) - especially when considering actual state data. Initial assumptions become obsolete and disturbances in process durations or sequence cause iterative revisions of the schedule. Therefore, a method is introduced to optimize construction schedules continuously based on the current progress considering all relevant resource capacities. Actual state data is progressed and variations in level of detail between construction works and the virtual model are leveled. A Multi-Agent Framework generates valid schedules based on heuristic priority rules to minimize project makespan and additionally determines floats and total resource costs. Thus, various scenarios can be analyzed to meet the specific requirements of the project and to assess the consequences of schedule changes more effectively.