Hasil untuk "Construction industry"

O. Babalola, E. Ibem, I. Ezema

Abstract The implementation of lean principles and approaches is gaining grounds in the construction industry globally. However, there is no clear understanding of the number and categories of lean practices implemented and the benefits associated with it in the planning, design and construction of building and infrastructure projects. This paper relied on a systematic review of published literature in Scopus, Science Direct and Google Scholar to identify and categorize the different lean practices implemented in the construction industry and the benefits derivable from them. Totally, 102 documents published between 1996 and 2018 were reviewed and their contents analyzed using descriptive statistics and content analysis. A total of 32 different lean practices categorised into design and engineering; planning and control; construction and site management; and health and safety management were identified. The review also found that the last planner system and just-in-time were the top two most implemented lean practices and about 20 different economic, social and environmental benefits were linked to the implementation of lean practices in the construction industry. This review is instructive that lean practices have good prospects for enhancing the productivity of the construction industry and achieving sustainable built environment, but a critical mass uptake and sustained implementation are required to attain these goals.

Yaser Gamil, Abdulsalam Alhagar

Since the World Health Organization (WHO) announced the coronavirus 2019 (COVID-19) outbreak as a pandemic, many countries have declared a complete national lockdown after a remarkable spike in COVID 19 cases. These decisions have restricted the movement of people and resulted in a complete shutdown of many businesses across many sectors. The construction industry, as a significant growth driver of the economy with no exception, has also been completely shut down. All the developments and projects were postponed until further notice. It is, therefore, a prudent to address the impact of the pandemic at the outset and end of the crisis to prepare for any future possibility and gain lessons for plans. This study aims to investigate the effect of COVID 19 on the construction industry's survival. The impacts and fallout have been determined and evaluated through the recruitment of construction experts and practitioners. The impacts have been classified into different groups which include economic, human resources. The study implied two methods include exploratory interviews and questionnaire surveys. The study found the most prominent impacts of COVID 19 are the suspension of projects, labour impact and job loss, time overrun, cost overrun, and financial implications. The findings of this study shed light on the consequences of the sudden occurrence of pandemic and raise awareness of the most critical impacts which can’t be overlooked. The findings also help project stakeholders to realise the sequences of the sudden epidemic and prepare for the worst-case scenario during the planning stage of the construction projects.

Arka Ghosh, D. Edwards, M. Hosseini

PurposeThe Internet of Things (IoT) provides exciting opportunities for the construction industry to solve its time and resource constraints and frequent defaults. This study seeks to identify and rank the perceived importance level of principal research areas associated with the IoT and the construction industry by utilising a scientific mapping tool (i.e. VOSviewer). Such knowledge would enable key drivers for successful adoption of the IoT and digitisation technologies to be outlined. An analysis of key drivers and research trends that facilitates the development of a roadmap for applying the IoT and digital technologies in the construction sector is therefore much needed.Design/methodology/approachAn interpretivist philosophical lens was adopted to analyse published work as secondary data, where each publication represented a unit of analysis. A total of 417 peer-reviewed journal review articles covering the IoT within the construction domain were systematically reviewed using a mixed-methods approach, utilising qualitative-scientometric analyses techniques.FindingsThe results revealed a field of study in a fledgling stage, with a limited number of experts operating somewhat in isolation and offering single-point solutions instead of taking an integrated “holistic” approach. Key publication outlets were identified and the main focus of research undertaken being in the technical areas of smart buildings, smart construction objects and environmental sustainability. The major effects of adopting the IoT within the construction industry were identified as high-speed reporting, complete process control, data explosion leading to deep data analytics, strict ethical and legal expectations. Key drivers of the IoT adoption were outlined: interoperability; data privacy and security; flexible governance structures; proper business planning and models.Practical implicationsThe study benefits researchers and industry practitioners alike. For researchers, the identified gaps reveal areas of high priority in future research. For construction companies, particularly small to medium-sized businesses, the study raises awareness of the latest developments and potential applicability of the IoT in the industry. For government agencies and policymakers, this study offers a point of reference in directing the adoption of the IoT smoothly in the construction sector and provides guidelines and standards for maximising the potential benefits.Originality/valueThe study is the first scientometric review of the existing body of knowledge in the context of application of the IoT in the construction industry. Findings expose knowledge gaps in contemporary research, specifically, a broader consideration of organisational adjustments needed to accommodate the IoT usage, economic analyses and impediments to wider acceptance.

MASTAC LAVINIA , FILIP COSMIN , TRANDAFIR RALUCA ANDREEA

The realm of construction is presently experiencing a remarkable metamorphosis, propelled by advancements in technology, economic imperatives, and a growing insistence on sustainability. This study examines the central themes of construction research through a bibliometric approach. The VOSviewer software was used to identify relationships and trends between concepts such as digitalization, innovation, sustainability and cost management. The results indicate an increasing focus on the integration of advanced technologies such as Building Information Modeling (BIM), automation and resource management. The geographical distribution of the research highlights the dominance of countries such as China, the United States and the United Kingdom, alongside emerging contributions from regions such as Malaysia and Hong Kong. Nevertheless, considerable disparities endure, particularly within rising economies. The insufficient allocation of resources towards research and development for small and medium enterprises serves as a significant impediment to the broad embrace of advanced technologies. The study highlights the need for an interdisciplinary approach, where collaboration with fields such as economics, management, ecology and human resources is necessary to maximize the potential of the industry. The study underscores the significance of bespoke public policies and efficacious international collaborations to foster the extensive embrace of innovative technologies and sustainable solutions.

Zhipeng HUANG, Zuxun LU, Peigang WANG et al.

Since the implementation of the new healthcare reforms, China's healthcare industry has achieved significant development. However, pressing issues such as bypassing primary care for specialist visits, preference for high-level medical resources, passive health awareness, and doctor-patient conflicts remain severe. These problems may be attributed to the lag in the construction of residents' healthcare-seeking culture. This paper provides an in-depth analysis of the concept, structural dimensions, and value functions of healthcare-seeking culture. From the dual perspectives of healthcare value cognition and healthcare-seeking cultural choices, it elucidates the profound impact of healthcare-seeking culture on residents' medical behaviors and the order of healthcare-seeking activities. Addressing the current confusion in residents' healthcare-seeking culture, the paper proposes practical approaches, including implementing a hierarchical diagnosis and treatment system, enhancing public education on healthcare culture, fostering harmonious doctor-patient relationships, and optimizing the allocation of medical resources. The aim is to promote the scientific and rational transformation of residents' healthcare-seeking culture, provide new references for regulating social healthcare-seeking order, enhancing public health outcomes, and supporting the implementation of the Healthy China strategy.

Xin Lin, Xun Li, Yan Zhou et al.

Non-equilibrium solidification during NiTi alloys manufacturing via Laser Beam Powder Bed Fusion (PBF-LB), induces dendritic morphologies and heterogeneous precipitate distribution. However, the underlying mechanisms governing dislocation interactions remain poorly understood. An improved phase-field model coupled with melt pool temperature field is proposed to simulate the impact of dendritic growth behavior on precipitate distribution under spatiotemporal variations of temperature gradient (G) and solidification rate (R). Additionally, this study proposes a volume-conserved deformation scheme that couples the phase-field crystal (PFC) method with a thermal-stress dynamics model to simulate the influence of precipitates on dislocation motion. The results reveal that reduced volumetric energy density enhances cooling rates, decreasing primary dendrite arm spacing (PDAS), mitigating elemental segregation, and refining Ti2Ni precipitates with homogeneous grain boundary dispersion. Uniformly dispersed precipitates shorten dislocation recovery time and increase pinning probability at phase interfaces, resulting in effectively hindering dislocation glide while promoting multiplication and entanglement. This leads to high-density disordered dislocation networks, contrasting with well-defined dislocation cells formed under high energy density.

Sharareh Mirzaei, Stephanie Bunt, Susan M Bogus

As the construction industry undergoes rapid digital transformation, ensuring that new technologies enhance rather than hinder human experience has become essential. The inclusion of Building Information Modeling (BIM) plays a central role in this shift, yet its influence on job satisfaction remains underexplored. In response, this study developed a human-centered measurement model for evaluating job satisfaction in BIM work environments by adapting Hackman and Oldham's Job Characteristics Model for the architecture, engineering, and construction (AEC) industry to create a survey that captured industry perspectives on BIM use and job satisfaction. The model uses Partial Least Squares Structural Equation Modeling to analyze the survey results and identify what dimensions of BIM-related work affect job satisfaction. While it was hypothesized that BIM use increases job satisfaction, the results show that only some dimensions of BIM use positively impact BIM job satisfaction; the use of BIM does not guarantee an increase in overall job satisfaction. Additionally, more frequent BIM use was not associated with higher satisfaction levels. These findings suggest that in the AEC industry, sustainable job satisfaction depends less on technological autonomy and more on human-centric factors, particularly collaboration and meaningful engagement within digital workflows.

Terence Tao

For any fixed dimension $d \geq 3$ we construct a Nikodym set in $F_q^d$ of cardinality $q^d - (\frac{d-2}{\log 2} +1+o(1)) q^{d-1} \log q$ in the limit $q \to \infty$, when $q$ is an odd prime power. This improves upon the naive random construction, which gives a set of cardinality $q^d - (d-1+o(1)) q^{d-1} \log q$, and is new in the regime where $F_q$ has unbounded characteristic and $q$ not a perfect square. While the final proofs are completely human generated, the initial ideas of the construction were inspired by output from the tools \texttt{AlphaEvolve} and \texttt{DeepThink}. We also present a simple construction of Nikodym sets in $F_q^2$ for $q$ a perfect square that is a special case of known unital-based constructions, and matches the existing bounds of $q^2 - q^{3/2} + O(q \log q)$, assuming that $q$ is not the square of a prime $p \equiv 3 \pmod{4}$.

Neeraj Deshmukh, Felix Sefzig

In this article, we give a construction of the (un-)stable motivic homotopy category of an algebraic stack in the spirit of Morel-Voevodsky. We prove that this new construction agrees with the stable motivic homotopy category defined by Chowdhury and D'Angelo. As an application, we extend Bachmann's spectral rigidity theorem to algebraic stacks. Moreover, we extend the construction of the framed motivic homotopy category to algebraic stacks and prove Hoyois' Reconstruction Theorem in this setting. Finally, we discuss an extension of the formalism of cocomplete coefficient systems à la Drew-Gallauer to algebraic stacks.

Zhijia You, Lingjun Feng

The Fourth Industrial Revolution (Industry 4.0) is reshaping the construction industry and bringing it into an intelligent construction era. Emerging technologies, such as the Building Information Modelling, Internet of Things, big data, cloud computing, and artificial intelligence, have penetrated into all stages of the building life cycle and play a significant role. However, the major issue of intelligent construction is integrating multiple technologies to create more potential opportunities rather than their fragmented application. Considering the various special characteristics of the construction industry and the high heterogeneity of these technologies, their integration in the construction industry is challenging and requires in-depth investigations. This paper summarizes the Industry 4.0–related technologies involved in the construction industry based on an analysis of the characteristics of the industry. Further, this study presents a framework of a cyber–physical system to integrate these technologies and improve the overall capabilities of construction organization and management. A case study of the Xiong’an citizen service center is introduced to verify the technological feasibility and preliminary implementation effect of the proposed framework. As forward-looking research, the significance of this paper may also to inspire more efforts in this field.

E. Boadu, C. Wang, R. Sunindijo

From both practical and theoretical perspectives, understanding the health and safety (H&S) implications of the characteristics and foundation upon which the construction industry in developing countries is built and operates is essential for H&S management within the industry. While many studies have provided evidence of factors affecting construction H&S in developing countries, none has fully considered the H&S implications of the industry’s characteristics. The current study thus examined how the peculiar characteristics of the construction industry in developing countries impact on the industry’s H&S management. Data were collected using questionnaire surveys from construction industry professionals in Ghana. Nine distinct characteristics were identified and ranked, as well as their relationships and statistical significance determined through correlation and analysis of variance (ANOVA), respectively. The findings showed that these characteristics of the construction industry in developing countries, particularly the lack of skilled and educated workforce, reliance on labour intensive methods and lack of single regulatory authority, present huge challenges to the management of H&S. Accordingly, this research recommended strategic interventions which are tailored towards the context of the industry’s characteristics. With the construction industry in developing countries exhibiting similar characteristics, the findings of this research can serve as a framework for country-specific study. The study contributes to the broader H&S performance improvement research in developing countries by throwing light on the characteristics of the industry that pose challenges to H&S performance.

M. Sanni-Anibire, R. Mohamad Zin, S. Olatunji

Abstract The construction industry continues to suffer from efficiency and productivity losses such as delays. The effects of delays may include time and cost overruns, litigation and project abandonment. Thus, the global research domain is saturated with studies investigating the causes of construction delay. However, despite the rising trend of construction globalization, a systematic review of what has been achieved so far in construction delay research is lacking. Such a study will synthesize extant data from previous studies to illustrate the global picture and will be of potential benefit to concerned stakeholders. Consequently, this study presents an overall review of studies on the causes of construction delays and executes a meta-data analysis utilizing Relative Importance Index (RII) values from some influential studies in the last 15 years. 36 common delay causes investigated globally were identified, and the effect summaries derived from the meta-analysis showed that the top five causes include: “contractor’s financial difficulties”, “delay in approval of completed work”, “slow delivery of materials”, “poor site organization and coordination between various parties”, and “poor planning of resources and duration estimation/scheduling”.

Kyeongbae Kim, Gayeoun Lee, Sangbum Kim

Behrouz Shojaei, M. Najafi, A. Yazdanbakhsh et al.

Hang Yan, Nan Yang, Yi Peng et al.

Abstract The construction industry is experiencing remarkable growth in the data generation. Data mining (DM) from considerable amount of data in the construction industry has emerged as an important tool for knowledge discovery. Despite the remarkable growth of DM applications to the construction industry, a systematic review on DM applications in this field is still lacking. Therefore, this paper attempts to provide a comprehensive literature review of DM application articles published between 2001 and 2019 with the specificity of construction industry. The popularity of DM applications in the construction industry is increasing, especially after 2016, with a plurality emanating from China. The main data sources, DM functions, and frequently used DM techniques in the construction industry are discussed in detail. Nine major application fields are identified, with the primary research interests focusing on multiple dimensions of energy, safety management, building occupancy and occupant behavior, material performance, and textual knowledge discovery. Four major challenges and four future research directions are proposed by drawing on the research findings. This study provides academics and practitioners with a more comprehensive understanding of the state-of-the-art of DM applications and heuristic implications for future studies.

Mercy Ogunnusi, Mansur Hamma-adama, H. Salman et al.

Albert P. C. Chan, J. Nwaogu, J. Naslund

Mental ill health is a significant cause of suicide and disability worldwide. It has particularly affected the construction industry. The construction labor sectors in Australia and the United Kingdom have suicide rates 2 and 3.7 times higher, respectively, than their overall national averages, which has attracted the attention of researchers and the industry. However, few studies have examined the state of construction workers' mental health. This paper systematically reviews the existing body of knowledge on mental health in the construction industry. In total, 16 journal articles met inclusion criteria, and 32 risk factors (RFs) were deduced. The foremost RFs were related to job demand and job control. A conceptual framework and checklist to aid in better understanding these RFs were developed. In assessing mental health, the primary tool used was the Depression Anxiety Stress Scale. The findings of this study help to deepen the understanding of professional mental health assessment scales and relevant RFs and protective factors as used in the construction industry. The study concludes that stronger methodologies are needed for studies into RFs and protective factors in the construction industry.

X. Qin, Ye Shi, K. Lyu et al.

Building Information Modelling (BIM) has been adopted as the main technology in the construction qiindustry in many developed countries due to its notable advantages. However, its applications in developing countries are limited. This paper aims to investigate factors which impact on BIM adoption in the construction industry. Twelve external variables were identified by an integrated TAM (Technology Acceptance Model) and TOE (Technology Organization Environment) framework and a systematic review of past studies. A survey was conducted in development, construction, design and consulting companies to investigate the impacts of these 12 external variables on BIM adoption. Using the interval Decision Making Trial and Evaluation Laboratory (DEMATEL) method, retrieved 120 completed questionnaires were analysed. The “Requirements from national policies” was found to be the most significant driving variable of BIM adoption by investigated companies. A further simulation analysis revealed that the “Intention to Use” BIM varied significantly with the change of “Requirements from national policies”, “Standardization of BIM”, and “Popularity of BIM in the industry”. The results lead to the conclusion that government incentives play critical roles in BIM adoption in China. Policy makers could put more efforts into motivation strategies, standardization measures, and BIM culture cultivation to promote BIM applications in the construction industry.

Cordula Kropp, Simon Aicher

In the introduction, we discuss the need for a material transition in architecture and construction and the challenges it poses. Drawing on innovation research, the multi-level perspective (MLP), and thousands of years of building history, we identify the potential for change, the obstacles that need to be overcome, and the importance of standards, in particular of established industry standards. The introduction also includes a brief description of each article.

Vitor Hugo dos Santos Filho, Luis Maurício Martins de Resende, Joseane Pontes

This study aims to develop a theoretical model for digital risks arising from implementing Industry 4.0 (represented by the acronym TMR-I4.0). A systematic literature review was initially conducted using the Methodi Ordinatio methodology to map the principal dimensions and digital risks associated with Industry 4.0 in order to achieve this objective. After completing the nine steps of Methodi, a bibliographic portfolio with 118 articles was obtained. These articles were then subjected to content analysis using QSR Nvivo^® version 10 software to categorize digital risks. The analysis resulted in the identification of 9 dimensions and 43 digital risks. The categorization of these risks allowed the construction of maps showing the digital risks and their impacts resulting from the implementation of Industry 4.0. This study advances the literature by proposing a comprehensive categorization of digital risks associated with Industry 4.0, which resulted from an exhaustive literature review. At the conclusion of the study, based on the proposed Theoretical Risk Model for Digital Risks arising from the implementation of Industry 4.0, a research agenda for future studies will be proposed, enabling other researchers to further explore the landscape of digital risks in Industry 4.0.