Digital twin-enabled smart facility management: A bibliometric review

Abstract In recent years, the architecture, engineering, construction, and facility management (FM) industries have been applying various emerging digital technologies to facilitate design, of infrastructure facilities. Digital twin (DT) has emerged as a solution for enabling real-time data acquisition, transfer, analysis, utilization improved decision-making toward smart FM. Substantial research on DT FM undertaken in past decade. This paper presents bibliometric analysis literature A total 248 articles are obtained from Scopus Web Science databases. VOSviewer is then utilized conduct visualize keyword cooccurrence, citation, co-authorship networks; furthermore, topics, authors, sources, countries contributing use identified. The findings show that current focuses building information modeling-based FM, artificial intelligence (AI)-based predictive maintenance, cyber–physical system integration, lifecycle asset management. Several areas, such AI-based prognostics health management, virtual-based intelligent monitoring, deep learning-aided continuous improvement systems, semantically rich interoperability throughout lifecycle, autonomous control feedback, need be further studied. review contributes body knowledge transformation by identifying landscape, state-of-the-art trends, future needs with regard