The process of prefabrication housing production (PHP) has been inevitably faced with diverse challenges. A number of factors affect the successful implementation of PHP. However, the critical success factors (CSFs) remain unrevealed. This paper aims to examine the CSFs for the planning and control of PHP projects. A total of 23 factors were identified as a result of literature review, in-depth interviews and pilot studies with experts in the construction industry. A questionnaire survey was conducted with designers, manufacturers, and contractors in China. The result showed that the top five CSFs were: (1) designers’ experience of PHP, (2) manufacturer’s experience of PHP, (3) project manager’s ability to solve problems, (4) maturity of techniques used in the detailed design phase, and (5) persistent policies and incentives. The 23 CSFs were further categorized into five groups via exploratory factor analysis, namely: (1) technology and method, (2) information, communication and collaboration, (3) external environment, (4) experience and knowledge, and (5) competence of the project manager. In particular, “technology and method” played the dominant role. This study contributes to the existing body of knowledge via a holistic approach covering the key actors of PHP such as designers, manufacturers as well as contractors to examine CSFs of PHP. These findings provided designers and project managers with a useful set of criteria for the effective project planning and control of PHP and facilitated the successful implementation PHP.

Purpose: The purpose of this paper is to provide comprehensive analysis and understanding of lean construction (LC) and to help researchers to find new gaps and research opportunities and develop potential collaboration chances. Design/methodology/approach: The bibliographic data were obtained in peer-reviewed journals. The science mapping analysis and social network analysis (SNA) were used to conduct the analysis and visualization. Science mapping was performed to identify the research topics, evolution and the relationships between these topics. Also, the most influential LC-related articles in each topic were identified based on the concept of H-classics. SNA was also used to explore the collaboration status of authors and to identify the core authors in the LC field. Findings: The results showed that topics in the LC field are consistently and continuously changing, which also reveals the fact that the lean concept system has evolved over time to a certain extent. The topics that could form the knowledge base of the LC research field in the future are related to two thematic areas: supply chain management (SCM) and planning and scheduling. SCM focuses on developing a system where supplier and client work together in coordination to deliver materials, works, equipment and labor and other resources. Moreover, prefabrication is a new hot topic, while BIM is a well-developed and isolated topic in the last five years. This result indicates that more studies need to be conducted in the future, to promote the integration of BIM and lean practices in the construction phase, as well as to explore the value of BIM in the reduction or elimination of waste and lean project delivery. As for global collaborations, LC research has been widely pursued throughout the world. The USA and the UK play the most dominant role in the international collaboration network. Research limitations/implications: Since the analysis of data takes some time, the specific results of this paper are limited to articles published in peer-reviewed journals, which leads to a certain degree of research lag. Practical implications: This paper provides insights (such as major journals, institutions, key scholars, the evolution of topics, highly indexed articles and the new LC trends in the last five years) for researchers in the LC field. Originality/value: This paper gives a general review of the above-mentioned literature, including the number of LC-related articles published in each year, as well as the major journals and main contributors to the field of LC.

To investigate current practices and identify challenges of piping prefabrication, this paper conducts a comprehensive survey to mechanical, electrical, and plumbing (MEP) contractors. This paper is performed in three main steps. First, the current state of piping prefabrication, the attitude of MEP contractors to piping prefabrication, and the challenges of piping prefabrication are identified through a comprehensive data collection process that included semi-structured interviews, case studies, site visits, and questionnaires. The second step included suggesting a pattern and roadway of piping prefabrication. The results showed that: (1) The attitudes to feasibility of piping prefabrication differ in piping systems, piping connector modes, and types of project; and (2) building information modelling (BIM) promotes the adoption of piping prefabrication. Integrated project delivery (IPD), and distributor’s early involvement into projects have significant effects on the successful implementation of piping prefabrication. (3) The main barriers and challenges were identified including the low level of standardization of design, lack of preferential policy, economies of scale, low-skilled workers, as well as the availability of fittings and valves. In the final step, a four-phase route of piping prefabrication is suggested for MEP contractors to expand the prefabrication capacity incrementally. The main contributions of this paper include: (1) This paper proposes a route for MEP contractors to improve their piping construction through the Modular and offsite construction (MOC) method. (2) This paper finds that the level of feasibility of piping prefabrication differs in piping systems, connection modes, and types of project. Challenges and barriers of piping prefabrication are firstly identified.

Web-based data mining is an emerging technology that is increasingly being applied in Decision Support Systems in many industries. The objectives of this study are to develop a Web-based text mining system specific to the building and construction industry for web content gathering, handling and analysis. An authoritative website in the housing industrialization field is chosen as a case on which to carry out this study by means of four steps, as follows. First, a web crawler module for gathering the original web articles has been constructed. Second, the web content processing module is used to parse the HTML tags and segment the text content of each page. Then, the relational database deployed in a cloud platform is used to store the processing result. Finally, the Vector Space Model and TF-IDF algorithm are used to represent articles and calculate the relationship among all the articles gained in the web crawler module. As the government issues the news and policies online continuously, it is possible for people to know the key points and trends embodied in these policies in time by way of the proposed text mining system.