AI and BIM-based Construction defects, rework, and waste optimization

Any country's economic progress, especially economic expansion, depends heavily on the building industry. The construction industry consumes tremendous amount of money, time and energy. Over the last two decades, many reports and studies have concluded that quality and productivity are decreasing due to defective work. The corrective activities of addressing defects and rework, consume time and cost. Even though there are several reasons for cost and time overrun, rework has a significant effect. It is essential to emphasize the impact of construction rework, construction defects and waste generated through research. Use of soft computing methods is recommended to increase the general efficiency of the construction projects. The goal of this research study is to undertake a bibliographic survey of the relevant literature on construction rework, construction defects and the application of Artificial Intelligence (AI) and Building Information Modeling (BIM) to optimize the output. The time considered for this survey is from the year 2007-2022. This bibliographic analysis contains statistics on citations, important journals, countries, authors contributing to the domain of knowledge based on search engine on Web of Science database. The results of the study highlight the current publication trends emphasizing on the necessity of applying BIM-based AI techniques to defects, rework and waste management. Study shows the quantum of work done in the domain from Indian context, highlighting the need for research.