Vi Nguyen Nguyen. Bim-ar-based system for supporting decision-making process of change orders in construction projects. Doctoral Degree(Civil Engineering). Chulalongkorn University. Office of Academic Resources. : Chulalongkorn University, 2569.
Bim-ar-based system for supporting decision-making process of change orders in construction projects
Abstract:
Recently, the integration of building information modeling (BIM) with augmented reality (AR) has been introduced to support decision-making on change orders in construction sites. However, traditional BIM-AR-based systems have some limitations on the interaction with the changes of construction work and cost information. Therefore, this research aims to develop a BIM-AR-based system to support the decision-making process of change orders during the construction phase. It includes four main functions: (1) visualization of change models and interaction with them in real-world environments, (2) cost assessment for calculating the direct cost of changes automatically and showing the information of cost comparison, (3) satisfaction measurement for measuring the satisfaction of the owners with changes, and (4) complexity measurement for measuring the complexity level of changes. The research methodology was designed into three parts. First, an approach for measuring the complexity level of change orders is proposed and validated by case studies. The complexity factors of a change order and the scale for complexity measurement were developed by using the Delphi method, while the weights of the complexity factors are identified by using the Analytical Hierarchy Process method. The results of the list of factors and weights were used to create an equation for calculating the degree of complexity of the change order, and the equation was tested using three case studies. Second, the BIM-AR-based system was developed to support change orders. Unity is the main platform to develop and build the AR application, and a cloud-based spreadsheet was used as both database and analysis sheets to update the cost information and measure the satisfaction and complexity level of changes. Third, the application and effectiveness of the system have been tested in a laboratory environment by a case study. In conclusion, the result of this study provides the research contribution on BIM-AR area that enhances users interaction with building data model and analyze costs as it changes. Moreover, it proposes a practical list of factors and the criteria with definitions for measuring the complexity of a change order related to architectural works during the construction stage.