Design for Manufacture and Assembly (DfMA) is known as both a philosophy and a methodology whereby products are designed in a way that is as amenable as possible for downstream manufacturing and assembly. As construction is moving towards a combination of offsite prefabrication and onsite assembly, DfMA is gaining momentum in this heterogeneous industry. Nevertheless, a comprehensive review of DfMA in construction, its prospects and challenges in particular, seems absent from the literature. This study reviews the processes and principles of DfMA and explores the possible perspectives of DfMA with a view to providing implications to the construction industry. It was found that DfMA in construction has been interpreted from three perspectives: (1) a holistic design process that encompasses how structure or object will be manufactured, assembled and guided with DfMA principles; (2) an evaluation system that can work with virtual design and construction (VDC) to evaluate the efficiency of manufacturing and assembly; and (3) a game-changing philosophy that embraces the ever-changing prefabrication and modular construction technologies. This study suggests that development of design guidelines, forming multidisciplinary team, use of VDC systems and understanding the lean principles are factors that could further enhance the successful application of DfMA in construction.

Purpose: The purpose of this paper is twofold: first, to identify the soft skills of construction project management; and second, to investigate the influence of these soft skills on project success factors in the Vietnamese construction industry. Design/methodology/approach: A questionnaire survey was conducted with 108 project management professionals from the Vietnamese construction industry. Partial least square structural equation modelling was employed in data analysis. Findings: Four-dimensional structure of project success factors was confirmed in this study. Results also showed that soft skills of project managers significantly contributed to project success factors and hence the project success. Research limitations/implications: There may be geographical limitation on the conclusions drawn from the findings. Similarly, the sample size was still small, despite a relatively high response rate. In addition, the majority of the respondents were contractors and clients as other project players were reluctant to respond to the survey. Practical implications: This study provides an understanding of the relationship between soft skills and project success factors. Originality/value: Although there have been studies focused on soft skills of project management and project success factors, few have attempted to analyse the effects of these soft skills on critical success factors. Thus, this study adds significantly to the existing research on both project management skills and project success factors.

Design for manufacture and assembly (DfMA) has become a buzzword amid the global resurgence of prefabrication and construction industrialization. Some argued that DfMA is hardly new, as there are concepts such as buildability, lean construction, value management, and integrated project delivery in place already. Others believe that DfMA is a new direction to future construction. This paper aims to review the development of DfMA in manufacturing and its status quo in construction, and clarify its similarities and differences to other concepts. A multi-step research method is adopted in this study: First, an analytical framework is generated; Secondly, a literature review is conducted on DfMA in general, and DfMA-like concepts in the AEC industry; The third step is to compare DfMA with related concepts. This study reveals that DfMA as a philosophy is hardly new in construction, and the empirical implementation of many DfMA guidelines has begun in the AEC industry. The findings suggested that DfMA is a new and mixed ‘cocktail’ of opportunities and challenges to improve construction productivity with the advancement of construction materials, production and assembly technologies, and ever-strengthened logistics and supply chain management. This study sheds light on three research directions: DfMA implementation and guidance strategies, DfMA frameworks and blueprints, and applications in cast in-situ or intermediate prefabrication construction. Our research findings provide a synopsis of DfMA research and development in construction. This paper can also serve as a point of departure for future theoretical and empirical explorations.

Purpose: The rise of artificial intelligence (AI) and differing attitudes towards its adoption in the building and environment (B&E) industry has an impact upon whether companies can meet changing demand and remain relevant and competitive. The emergence of Industry 4.0 technologies, coupled with the repercussions of COVID-19, increases the urgency and opportunities offered that companies must react to, as disruptive technologies impact how project management (PM) professionals work and necessitate acquisition of new skills. This paper attempts to identify the drivers of and barriers to, as well as the general perception and receptiveness of local PM professionals towards, AI adoption in PM and thereby propose potential strategies and recommendations to drive AI adoption in PM.Design/methodology/approach: This study employs both quantitative and qualitative approaches to examine the findings gathered. A survey questionnaire was used as the primary method of gathering quantitative data from 60 local PM professionals. Statistical tests were performed to analyse the data. To substantiate and validate the findings, in-depth interviews with several experienced industry professionals were performed.Findings: It is found that top drivers include support from top management and leadership, organisational readiness and the need for greater work productivity and efficiency. Top barriers were found to be the high cost of AI implementation and maintenance and the lack of top-down support and skilled employees trained in AI. These findings could be attributed to the present state of AI technologies being new and considerably underutilised in the industry. Hence, substantial top-down support with the right availability of resources and readiness, both in terms of cost and skilled employees, is paramount to kick-start AI implementation in PM.Originality/value: Little research has been done on the use of AI in PM locally. AI's potential to improve the productivity and efficiency of PM processes in the B&E industry cannot be overlooked. An understanding of the drivers of, barriers to and attitudes towards AI adoption can facilitate more intentional and directed oversight of AI's strategic roll-out at both the governmental and corporate levels and thus mitigate potential challenges that may hinder the implementation process in the future.

Singapore has set an ambitious productivity improvement target for the construction industry. One recommendation is to adopt Design for Manufacturing and Assembly (DfMA) technologies to achieve this target. This has, however, met with resistance from the private sector, with only 11.2% of prefabrication usage recorded as of 2001. This study explores the factors affecting the adoption of DfMA to better understand the strategies needed to effectively encourage private sector buy-in. In alignment with the Singapore 2017 Industry Transformation Map, this study adopts one of the three key thrusts of DfMA in construction which relates to the DfMA technologies. Correspondingly, the key factors affecting DfMA adoption were identified and classified in six categories. A questionnaire survey was used to gather information on the level of importance of these influencing factors. Thirty valid responses were received from a sampling frame of more than 120 individuals. The survey participants included developers, contractors and consultants. The results showed that a majority of the influencing factors identified have a significant and positive impact on the successful adoption of DfMA technologies in construction projects in Singapore, with reduction in construction time being the most important factor driving the industry to adopt DfMA. The government-related factors appear to play a less impactful role.

Compared with the conventional cast-in-situ method, prefabricated construction (PC) is a sustainable construction method. In China, the sustainable performance qualities of PC—such as its improved quality, lower cost and shorter turnaround—have barely been achieved. This is likely attributable to the weak sustainable construction capability of construction enterprises in undertaking PC projects. This study observed that there is relatively scant research on critical influencing factors relating to this capability, after investigating the most recent literature about PC development obstacles. Without a clear understanding of this knowledge, construction enterprises are unlikely to formulate effective measures to enhance their sustainable construction capability to tackle efficiency, cost, risk, and broader performance issues in PC. Therefore, this study identified 27 factors from the literature and interviews, ranked these factors using the Entropy method and the fuzzy analytic hierarchy process (FAHP), examined the top five critical factors, and discussed the problem-solving measures. This study drew the conclusion that construction enterprises should focus on PC business scope expansion, project delivery quality improvement, and technology investment and innovation, as well as the return on investments in technology. It is also suggested that incentivised strategies be formulated by the Chinese government in order to improve industry practitioners’ capability of implementing sustainable PC projects. This will eventually expedite the industry’s transformation towards leaner, more efficient and sustainable practice.