In the world of Building Information Modeling (BIM), model-based cost estimation is considered the fifth dimension, but the cost estimation process of a building or infrastructure involves two major sections: construction and operational costs. Model-based construction cost estimation is often done in the early phases of a project, but operational planning is usually not treated as a prominent aspect in the early phases because of difficulties in obtaining relevant information. This master thesis targets optimizing both construction and operational costs, hence establishing a workflow starting from model checking and optimizing the methods for construction costs. This optimization will target a smooth shift from the existing cost estimation methods to model-based cost estimation methods, focusing more on the data exchange problem. The work is based on the perspective of BMW Group as project owners, and tests are conducted on BMW office and factory buildings to analyze the possibilities of model-based computation of operational costs and their reliability. The tests helped to analyze the minimum requirements of a model for computing operational costs and help determine the level of accuracy of the process. It has also ensured smooth interoperability with recently developed methods for data transfer. The workflow also focuses on the concept of developing a database of model-based construction and operational costs, considering sustainability aspects as well upon the availability of data. Finally, the idea of data optimization possibility with a digital twin is also discussed.
«
In the world of Building Information Modeling (BIM), model-based cost estimation is considered the fifth dimension, but the cost estimation process of a building or infrastructure involves two major sections: construction and operational costs. Model-based construction cost estimation is often done in the early phases of a project, but operational planning is usually not treated as a prominent aspect in the early phases because of difficulties in obtaining relevant information. This master thesi...
»