Healthcare facilities play a key role in responding United Nations goals, such as sustainability, health and welling. The outbreak of the COVID-19 epidemic has driven much attention to expanding healthcare capacity through advanced digital technologies, such as Building Information Modelling (BIM). Nevertheless, a systematic review of research achievements is lacking. This research uses bibliometric and systemic literature review methods to investigate BIM applications in Healthcare Design and Construction (HDC). The bibliometric investigation focuses on country, journal co-citation, and keyword clustering analyses. The systematic review classifies application domains, BIM actions, and other digital technologies accompanying BIM. Finally, 17 major BIM actions are summarized for six major domains, including operability, resilience, collaboration, sustainability and constructability. This study reveals that the outbreak of COVID-19 has greatly stimulated the academic interest in digital technologies for HDC, and there is geographical uniqueness highly relevant to local government policies and national healthcare services. However, related research is still in a relatively preliminary stage.@en

Design for Manufacture and Assembly (DfMA) is an emerging concept introduced from the manufacturing sector to transform the construction industry and accelerating “off-site” capabilities. Enhancing the sustainability of DfMA is challenging and requires accounting for various environmental and managerial impacts on the process of manufacture and assembly, especially for the parametric buildings with irregular shapes and unstandardised components. It is essential to compare and make decisions among design alternatives for the best-fit sustainability in the DfMA process. However, there is presently a gap in the DfMA field. This paper proposed a novel BIM-enabled Multi-Criteria Decision Making (MCDM) method for the sustainability assessment of parametric façade design. An under-construction parametric building was used to test and illustrate the method. A parametric façade was selected to demonstrate the application of DfMA to enable mass “off-site” customisation. This is a labour-intensive assembly process, which could significantly benefit from the implementation of such a method. Data collection involves archival data and semi-structured interviews. An integrated fuzzy AHP-TOPSIS was used to analysis the data. This research sheds new lights on DfMA sustainability and its decision support systems. Unlike the usual attention to the construction sustainability of on-site construction, the method involves consideration of both manufacture and assembly stages. It provides practitioners with a decision-making method to select the most sustainable façade alternative available for the parametric design. The findings carry implications for parametric façade design and show the deployment of mass customised unstandardised components. This research opens up new avenues for sustainable DfMA development.@en

Prefabricated construction (PC) is an increasingly popular construction approach that offers numerous benefits, including greater efficiency, improved safety, and reduced material waste. However, this approach also introduces a new set of quality risks due to the complex process of off-site prefabrication, transportation, and on-site assembly. Currently, quality management (QM) in PC is mainly conducted through manual efforts that rely on human experience and established standards. This approach can be both inefficient and susceptible to human bias, which can lead to quality issues. To address these concerns, this study proposes a knowledge engineering-based framework that utilizes knowledge modeling and reasoning to enable intelligent QM. The framework consists of four layers: data acquisition, knowledge generation, knowledge storage, and value-added application. The proposed framework was applied to a case scenario, and the results showed that the open information stored in the knowledge base can guide the quality control process, and vice versa, enabling the quality control process to promote the updating of the knowledge base.@en

Design for Manufacture and Assembly (DfMA) has been introduced into the construction industry to enhance production efficiency. DfMA is a design approach and evaluation system for improving manufacturability and assemblability. This paper outlines the past and ongoing Artificial Intelligence (AI) development in manufacturing-oriented DfMA, and provides a literature review of the concept and the use of DfMA in the construction. The applications, challenges and barriers of design optimization through DfMA and BIM-enabled DfMA are summarized. This desk study shows that studies related to construction-oriented DfMA are still in infancy. At present, articles about DfMA are focused on optimizing design and engineering for manufacturability and assemblability, but rarely describe its digital enablement. This study makes up for the lack of literature review in the evaluation of DfMA with concluding a preliminary application framework, and proposes a future-oriented study and new direction for BIM-enabled DfMA.@en