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Modular Integrated Construction (MiC) is a rapid and sustainable solution for construction projects. However, it poses challenges in crane safety operations (CSO). This paper examines CSO in MiC, offering fresh perspectives and contributions. The research aims to identify patterns, knowledge gaps, and future directions in CSO within MiC. Scientometric and systematic review approaches are integrated to ensure a comprehensive analysis. CSO research is categorized into four primary problem-based categories: Crane-Related Fatalities, Accidents, and Hazards; Risk Analysis and Evaluation; Enhancing Lifting Process Efficiency and Crane Operator Safety; and Technological Solutions and Innovations. Each category is subdivided into methods-based subcategories. The paper provides insights into methodologies and global trends in CSO practices, facilitating safety improvements in MiC projects. It also outlines future research directions and practical recommendations for implementing strategies aligned with these directions. This paper serves as a catalyst for enhancing safety and implementing research findings in real-world MiC scenarios. [Display omitted] • MiC offers rapid, efficient construction but poses unique challenges, notably in CSO. • MiC's CSO research growth prompts pattern detection and gap analysis. • A mixed review method blends scientometrics and systematic reviews CSO in MiC. • Four problem-based categories: fatalities, risk, lifting, and technology. • The systematic review identifies five gaps and outlines future research opportunities. [ABSTRACT FROM AUTHOR]

• The DT Implementation barriers are categorized under six categories. • The PLS-SEM technique was developed to prioritize DT implementation barriers. • There is a strong relationship between overcoming DT implementation barriers and OSS. • Overcoming DT implementation barriers can enhance construction sustainability by 23 %. A Digital Twin (DT) is a digital copy of a real-world object or process. Although DT has gained traction in construction, its relationship with sustainable success remains insufficiently studied. This research addresses this gap by investigating barriers to implementing DT in sustainable construction. The study employs a hybrid approach involving literature review, expert interviews, and modeling techniques, with data collected from 108 construction experts based on a number of criteria, including the experience, degree, and familiarity of the experts about the Hong Kong building and construction sector Hong Kong. The findings reveal 45 barriers categorized into six clusters, including notable obstacles such as "legacy systems," "data uncertainties," and "connectivity." The key clusters identified are "performance" and "security," while the "social" aspect of sustainable success is least supported. Recognizing these challenges assists decision-makers in navigating obstacles and utilizing DT for environmentally conscious construction, streamlined processes, and positive societal impacts. Future research could delve into integrating sustainability throughout the project lifecycle using technology adoption theories. [ABSTRACT FROM AUTHOR]

Modular integrated construction (MiC) is evoking interest as a sustainable construction method leading towards industry 4.0. However, its complex supply chain and fragile logistic operations impede project performance. This paper, therefore, explores the critical influencing factors of MiC supply chain operations and studies their interrelationships. A systematic review is conducted across multiple supply chain research domains to identify relevant factors. These factors are evaluated using eigenvector and MICMAC analysis. Four themes of critical factors are determined using factor's interrelationships: dominating, symbiotic, external, and potential influencing factors. These themes demonstrate the influencing nature and mechanism of factors. As a result, most of the assembling-related factors are found to dominate and dynamically control the MiC supply chain performance. This paper also highlights potential factors that need further research attention, studies prevalent factors affecting the MiC supply chain and offers future research directions. [Display omitted] • General supply chain management, logistics management and construction supply chain domains are systematically reviewed. • Forty-three significant factors were ranked using eigenvector approach. • Critical factors are evaluated and categorized using MICMAC analysis. • Factors' relationships are analysed, and four themes of factors are determined. • Paper studies prevalent factors affecting MiC supply chain and highlights potential factors that need further research. [ABSTRACT FROM AUTHOR]

One of the main components of smart and sustainable urban management is well-performed sewer networks. Therefore, maintaining and enhancing the functionality of sewer projects at an affordable cost are major challenges for decision-makers. However, the embracement of the Value Engineering (VE) concept to assess new sewer designs has not yet been fully embraced especially in developing countries. Thus, this study introduces a systematic VE approach for major sewer projects. A computer model based on six phases of VE methodology was developed, and named "Value Engineering Model" (VEM). To show its efficacy, it was applied to a real-life case study, leading to the following major contributions to the body of relevant knowledge: (1) unraveling the logical relations between the project functions, (2) a detailed life cycle cost analysis (LCCA), (3) a weighted evaluation matrix towards facilitating the decision-making procedure and (4) achieving an approximate 36% reduction in the sewer's project cost as compared to the common VE analysis technique. The developed model serves as a guide for design engineers and decision-makers in sewer projects. It will enable achieving the embracement of smart and sustainable drainage systems within cities at a greater pace. The results of this study will be a guide for decision-makers to reduce costs and improve sustainability by introducing VEs in the Egyptian sewer industry. • A new inclusive value engineering model for major sewer projects is developed. • The logical relations between the project functions are unravelled. • A detailed life cycle cost analysis (LCCA) of sewer projects is provided. • A weighted evaluation matrix towards facilitating the decision-making procedure is developed. • An approximate 36% reduction in the sewer's project cost is achieved. [ABSTRACT FROM AUTHOR]

Green buildings (GBs) have been adopted mainly to minimize the negative effects of the design, construction, and building operations on the environment. However, the GB-related activities have been found to be jeopardizing the occupational health and safety (OHS) of related projects, thereby debilitating the safety and health of respective crew members. Despite such vital issues, no study has been conducted yet to investigate the safety issues associated with GB construction projects in developing countries, where the inclination towards the adoption of GB is on the rise. Using this as a point of departure, the present study assesses the safety risks caused by GB projects with the use of a fuzzy-based RAM, through the lenses of the experts in Kazakhstan. The proposed RAM integrates Fuzzy Delphi Method (FDM) and Fuzzy Best Worst Method (FBWM). The FDM results clearly indicated that sustainable buildings continue to endanger the safety and health of respective workers, while fall from height and overexertion are found to be the leading causes of GB-associated risks using the FBWM. Despite the research limitations, this study prudently assessed the OHS-related risks to the LEED-based (the most widely used certification in the country) projects, and offered a fertile ground for future research to be conducted in developing economy settings. The findings indicated that the construction key players need to pay more attention to the riskiest GB-related hazards by investing their efforts in making the built environment truly sustainable in a not-too-distant future, which can improve the well-being of workers involved. • The critical safety risks threatening the workers involved in green building construction projects are identified. • The critical safety risks in relation to GB projects are prioritized using fuzzy-based-constrained optimization model. • The prioritized safety risks are effectively evaluated using the concept of risk matrix. • The results produced from the study are validated through focus group discussion approach. [ABSTRACT FROM AUTHOR]