Hasil untuk "Construction industry"

G. L. F. Benachio, M. C. D. Freitas, S. F. Tavares

Abstract The Construction Industry is responsible for over 30% of the extraction of natural resources, as well as 25% of solid waste generated in the world. This happens because the construction sector mostly adopts a linear economic model of “take, make, dispose”, using materials to the construction of buildings and disposing them at the end of life, since they are assembled for one time use and don’t retain potential for reuse. Over the last decades, a paradigm shift has been occurring in the industry at large, with the adoption of a Circular Economy model, that aims at keeping the materials in a closed loop to retain their maximum value, therefore with a greater potential of reducing the waste generation and resources extraction for the Construction Industry. This article aims at finding the recent developments of how Circular Economy can be used inside the construction industry. To achieve this goal, a systematic literature review was conducted, including 45 articles that were divided into six areas of research: development of Circular Economy, reuse of materials, material stocks, Circular Economy in the built environment, LCA analysis and material passport. An analysis of the content of these articles was made and the knowledge gaps in this area were identified, as well as table with known Circular Economy practices for the Construction Industry was created divided by life cycle stages. Finally, a discussion of each area of research and their findings is made.

Jennifer Li, D. Greenwood, M. Kassem

Abstract The construction industry is facing many challenges including low productivity, poor regulation and compliance, lack of adequate collaboration and information sharing, and poor payment practices. Advances in distributed ledger technologies (DLT), also referred to as Blockchain, are increasingly investigated as one of the constituents in the digital transformation of the construction industry and its response to these challenges. The overarching aim of this study was to analyse the current state of DLT in the built environment and the construction sector with a view to developing a coherent approach to support its adoption specifically in the construction industry. Three objectives were established to achieve this: (a) to present the first state-of-the-art and literature review on DLT in the built environment and construction industry providing a consolidated view of the applications explored and potential use cases that could support disruption of the construction industry. Seven use-categories were identified: [1] Smart Energy, [2] Smart Cities & the Sharing Economy, [3] Smart Government, [4] Smart Homes, [5] Intelligent Transport, [6] BIM and Construction Management, and [7] Business Models and Organisational Structures; (b) to propose a framework for implementation composed of two conceptual models (i.e. the DLT Four-Dimensional Model, and the DLT Actors Model), developed according to extended socio-technical systems theory and including four dimensions (technical, social, process and policy), to support the development of DLT-based solutions that are adequate to the challenges faced by the construction industry. The DLT Four-Dimensional Model and the DLT Actors Model contribute to improve the understanding of the concepts involved when discussing DLT applications in construction and represent flexible, adaptable and scalable knowledge constructs and foundations that can be used for various further investigations; and (c) to appraise three specific use cases (i.e. Project Bank Accounts, regulation and compliance, and a single shared-access BIM model) as potential areas for DLT through the application of a decision support tool. The results show that Project Bank Accounts (PBAs) and regulation and compliance are candidate areas for DLT applications and warrant further attention. However, for the third use case (i.e. single shared-access BIM model) DLT are still insufficiently developed at this time. The research shows that there is real potential for DLT to support digitalisation in the construction industry and enable solutions to many of its challenges. However, there needs to be further investigation of the readiness of the industry, its organisations and processes, and to evaluate what changes need to occur before implementation can be successful. Further investigations will include the development of a roadmap process incorporating the four dimensions to evaluate readiness across a series of use cases for the construction industry.

M. Hossain, S. Ng, P. Antwi-Afari et al.

Abstract The circular economy (CE) concept has received increasing attention among different parties on various levels recently. Due to the concern on significant resources consumption in the construction industry without concerning the physical limit resources, a paradigm shift of linear economy to CE model is inevitable for conserving the resources and promoting the efficient use of resources. Adopting CE into the construction industry can promote the successful transition to sustainable construction. Although early stage of development in the construction industry, the scientific contribution of CE agenda in the construction industry is significantly increasing. Therefore, this review aimed to identity the implications, considerations, contributions and challenges of CE in the construction industry by systematically analyzing the recent literature. In addition to existing trends and considerations, this study highlighted the numerous challenges under design, materials selection, supply chain, business model, uncertainty and risk, collaborations among actions, knowledge of understanding, relevant policy, integration of urban metabolism, and methodology for CE evaluation. The study found that CE implementation into the case-specific building with full scale evaluation is yet to be conducted, and a comprehensive CE integration and methodology framework is yet to be developed. A prospective integrated framework for CE adoption and evaluation method is proposed by analyzing the contemporary issues. It is believed that the analyzed critical issues for CE adoption, identified future research direction, and proposed frameworks and methodology should help further development of CE research and contribution to effective implementation of CE into the industry for promoting sustainable construction.

S. Perera, S. Nanayakkara, M. Rodrigo et al.

Abstract The dawn of the 21st century has seen the advent of many technologies targeting commercial and financial sectors. These include Big Data, Internet of Things and FinTechs such as blockchain. Blockchain is a type of a distributed database that is used to replicate, share, and synchronise data spread across different geographical locations such as multiple sites, countries, or organisations. The main property of blockchain is that there is no central administrator or centralised data storage mechanism. Consensus algorithms govern the peer-to-peer decentralised network. Numerous benefits and applications of blockchains have resulted in it becoming popular among a broad spectrum of businesses, but is it the case in the construction industry? Given, the backward nature of the construction industry in digitalisation and its reticence to change, it becomes important to analyse the potential impact of Blockchains as a potential disruptive technology. Although there exists a significant research gap and the potential possibility to test blockchain in the construction sector, the construction industry is historically reported as the second lowest sector to have adopted information technology. This leads to a conundrum whether blockchain is a pure technological hype or whether there is a real potential application in construction. The paper is aimed at critically analysing the application potential of blockchains in construction through a use case analysis and comprehensive literature review to resolve whether it is pure hype or real. The exploration revealed that due to the exponential uses of blockchain, investments involved, and a number of start-up businesses contributing to Industry 4.0, blockchain indeed has a credible potential in the construction industry.

T. Akinosho, Lukumon O. Oyedele, Muhammad Bilal et al.

Abstract The construction industry is known to be overwhelmed with resource planning, risk management and logistic challenges which often result in design defects, project delivery delays, cost overruns and contractual disputes. These challenges have instigated research in the application of advanced machine learning algorithms such as deep learning to help with diagnostic and prescriptive analysis of causes and preventive measures. However, the publicity created by tech firms like Google, Facebook and Amazon about Artificial Intelligence and applications to unstructured data is not the end of the field. There abound many applications of deep learning, particularly within the construction sector in areas such as site planning and management, health and safety and construction cost prediction, which are yet to be explored. The overall aim of this article was to review existing studies that have applied deep learning to prevalent construction challenges like structural health monitoring, construction site safety, building occupancy modelling and energy demand prediction. To the best of our knowledge, there is currently no extensive survey of the applications of deep learning techniques within the construction industry. This review would inspire future research into how best to apply image processing, computer vision, natural language processing techniques of deep learning to numerous challenges in the industry. Limitations of deep learning such as the black box challenge, ethics and GDPR, cybersecurity and cost, that can be expected by construction researchers and practitioners when adopting some of these techniques were also discussed.

S. Bello, Lukumon O. Oyedele, Olúgbénga O. Akinadé et al.

Abstract Cloud computing technologies have revolutionised several industries for several years. Although the construction industry is well placed to leverage these technologies for competitive and operational advantage, the diffusion of the technologies in the industry follows a steep curve. This study therefore highlights the current contributions and use cases of cloud computing in construction practices. As such, a systematic review was carried out using ninety-two (92) peer-reviewed publications, published between 2009 and 2019. A key highlight of the findings is that cloud computing is an innovation delivery enabler for other emerging technologies (building information modelling, internet of things, virtual reality, augmented reality, big data analytics) in the construction industry. As such, this paper brings to the fore, current and future application areas of cloud computing in the construction industry. The paper also identifies barriers to broader adoption of cloud computing in the construction industry and discusses strategies for overcoming these barriers.

S. Pessoa, A. S. Guimarães, S. Lucas et al.

Abstract Building Information Modelling (BIM) paved the way to better information management in the construction sector, simplifying and encouraging the advent of digital technologies and tools. The application of large-scale additive manufacturing (AM) is growing and therefore subject to intensive research – on account of its disruptive potential to revolutionise the Architecture, Engineering and Construction (AEC) industry. With this systematic literature review, the authors aim to identify the major advances made so far on AM's applicability to the construction sector, with particular attention being given to the thermal efficiency of 3D printed buildings. The article begins by presenting the review methodology applied and offering an outline of the current situation in the construction industry, followed by a discussion on different AM processes. Applications in the construction industry are presented and the development of extrudable materials is addressed. The influence of the thermal insulation of the building's envelope on its energy consumption is explained and experimental applications presented. The state-of-the-art shows that 3D printing (3DP) is still in an early stage and the research remains focused on the printability and structural capacity. There is a noticeable gap on physical aspects such as thermal and acoustic behaviour, which are of major importance to the indoor environment quality. By discussing the difference in performance between commercial thermal insulation materials and the existing 3D printed materials, this research outlines new ways of improving the thermal performance of 3D printed structures, by using additives in the printed mix or by acting on the wall's structure.

Hanzhe Liang, Luocheng Zhang, Junyang Xia et al.

Although self-supervised 3D anomaly detection assumes that acquiring high-precision point clouds is computationally expensive, in real manufacturing scenarios it is often feasible to collect a limited number of anomalous samples. Therefore, we study open-set supervised 3D anomaly detection, where the model is trained with only normal samples and a small number of known anomalous samples, aiming to identify unknown anomalies at test time. We present Open-Industry, a high-quality industrial dataset containing 15 categories, each with five real anomaly types collected from production lines. We first adapt general open-set anomaly detection methods to accommodate 3D point cloud inputs better. Building upon this, we propose Open3D-AD, a point-cloud-oriented approach that leverages normal samples, simulated anomalies, and partially observed real anomalies to model the probability density distributions of normal and anomalous data. Then, we introduce a simple Correspondence Distributions Subsampling to reduce the overlap between normal and non-normal distributions, enabling stronger dual distributions modeling. Based on these contributions, we establish a comprehensive benchmark and evaluate the proposed method extensively on Open-Industry as well as established datasets including Real3D-AD and Anomaly-ShapeNet. Benchmark results and ablation studies demonstrate the effectiveness of Open3D-AD and further reveal the potential of open-set supervised 3D anomaly detection.

Yinkai Wei, Wudong Ban

This study explores the spatiotemporal patterns of construction carbon emissions in Central China (Anhui, Shanxi, Jiangxi, Henan, Hunan, Hubei) under China's carbon peak and neutrality goals. Using certified construction data, NPP–VIIRS nighttime light data, energy statistics, and socioeconomic panel data from 2012 to 2025, we examine emission dynamics and spatial heterogeneity. Results show that total emissions reached 1.039 billion tons of CO₂ equivalent, with Shanxi accounting for over 20%. Spatial clustering exhibited a fluctuating downward trend, with High–High clusters in Shanxi and northern Henan, and Low–Low clusters in southern Anhui, western Hubei, and northern Jiangxi. Geodetector results reveal that regional GDP and secondary industry output were dominant drivers, and their interactions with population and technology investment reached a maximum q‑statistic of 0.98. These findings support targeted low-carbon policies for the construction sector in transitional regions.

Yifei Yu, D. Yazan, Silu Bhochhibhoya et al.

Abstract Since 95% of the Construction and Demolition Waste (CDW) is down-cycled and the material value is not effectively recovered, the Dutch construction industry strives for implementing Circular Economy (CE). From the recycling/reusing perspective, a key enabler towards CE is Industrial Symbiosis (IS). Although IS has been widely applied in manufacturing industries, its implementation is unclear in the construction industry. Particularly, the potential IS economic convenience is hard to predict in the highly fragmented construction supply chain. This study explores the IS based on the Recycled Concrete Aggregates (RCA) in the context of a concrete waste supply chain in the Twente region of the Netherlands. The research tackles with the CE challenge of lacking economic incentives by investigating the Industrial Symbiosis Network (ISN) emerged by replacing Primary Concrete Aggregates (PCA) with RCA. An Agent-Based Modelling (ABM) approach is proposed by integrating Geographic Information Systems (GIS) to present the dynamic supply-demand of RCA. Besides, supply chain actors are simulated as negotiable agents in a platform model to reveal the IS collaboration dynamics under different economic scenarios. It is found that the IS exists in the construction industry but only in an implicit manner because the RCA treatment requires the collaboration of multiple actors across substantial temporal and spatial differences. The study enriches the IS taxonomy by defining Implicit IS and provides instruments to support the decision-making of business collaborations and policy-making for a circular construction industry.

Xichen Chen, A. Chang-Richards, A. Pelosi et al.

PurposeWith interest in modern construction methods and new technologies on the rise, construction companies globally are increasingly looking at how to embrace new ideas and engage with new approaches to do things better. A significant amount of work has been carried out investigating the use of individual technologies in the construction sector. However, there is no holistic understanding of the new and emerging technologies that have had proven benefits for construction projects. To fill this gap, this paper aims to provide a landscape of technologies that have been implemented in the construction industry and the benefits associated with their implementation.Design/methodology/approachA systematic review approach and PRISMA guidelines were used. A total of 175 articles published between 2001 and 2020 were identified and thoroughly reviewed.FindingsThe results show that a total of 26 technologies were identified from the literature, and these can be categorised into five groups in terms of their functionality in construction process, namely: (1) data acquisition, (2) analytics, (3) visualisation, (4) communication and (5) design and construction automation. Digital technologies, especially for data acquisition and visualisation, generally appear to underpin and enable innovation in many aspects of construction. Improvements in work efficiency, health and safety, productivity, quality and sustainability have been cited as being the primary benefits of using these technologies. Of these, building information modelling (BIM) appears to be the single most commonly used technology thus far. With the development of computer technology, BIM has constantly been used in combination with other technologies/tools such as unmanned aerial vehicles/systems (unmanned aerial vehicle (UAV)/UAS), geographic information systems (GIS), light detection and ranging (LiDAR) and multidimensional modelling to realise a specifically defined benefit.Practical implicationsThe findings from this review would help construction practitioners identify the types of technologies that can be implemented in different stages of construction projects to achieve desired outcomes, and thus, make appropriate decisions on technology investment and adoption. This review also suggests that to reap the full potential that these technologies offer, aside from construction companies changing their culture and business models, corresponding changes in the construction sector’s operating systems related to building regulation, education and training, as well as contracting and procurement are required.Originality/valueThis paper undertakes a comprehensive systematic review of studies on technology implementation in the construction sector published between 2001 and 2020. It is the first attempt internationally to provide a holistic picture of technologies that have been studied and implemented in construction projects.

Alan J. McNamara, S. Sepasgozar

Abstract The digitalisation of the construction industry through revolutionary innovations, such as blockchain and intelligent contracts (iContracts), is becoming increasingly researched. However, a gap in current literature exists on the identification of contributing factors that will influence successful iContract development and adoption. This study aims to identify key considerations for iContracts in order to develop a novel theoretical adoption model and offer an agenda of six research directions for future iContract development. Through systematic analysis, forty-six key papers were identified with further thematic analysis highlighting the iContract technology's taxonomy. Content analysis then identified nine key themes of relevant considerations, barriers and contributing factors informing the development of the Tri-Dimensional iContract model. This study contributes to the iContract body of knowledge by identifying key considerations for the development and successful adoption of the iContract concept while offering a practical lens to direct future industry adoption and inform the development of iContract technologies.

Andreas Mershin, Nikolas Stefanou, Adan Rotteveel et al.

Machine olfaction is rapidly emerging as a transformative capability, with applications spanning non-invasive medical diagnostics, industrial monitoring, agriculture, and security and defense. Recent advances in stabilizing mammalian olfactory receptors and integrating them into biophotonic and bioelectronic systems have enabled detection at near single-molecule resolution thus placing machines on par with trained detection dogs. As this technology converges with multimodal AI and distributed sensor networks imbued with embedded AI, it introduces a new, biochemical layer to a sensing ecosystem currently dominated by machine vision and audition. This review and industry roadmap surveys the scientific foundations, technological frontiers, and strategic applications of machine olfaction making the case that we are currently witnessing the rise of a new industry that brings with it a global chemosensory infrastructure. We cover exemplary industrial, military and consumer applications and address some of the ethical and legal concerns arising. We find that machine olfaction is poised to bring forth a planet-wide molecular awareness tech layer with the potential of spawning vast emerging markets in health, security, and environmental sensing via scent.

Xiaoyu Li, Xiao Li, Li Gao et al.

The evolution of Large Language Models (LLMs) has significantly advanced multi-turn conversation systems, emphasizing the need for proactive guidance to enhance users' interactions. However, these systems face challenges in dynamically adapting to shifts in users' goals and maintaining low latency for real-time interactions. In the Baidu Search AI assistant, an industrial-scale multi-turn search system, we propose a novel two-phase framework to provide proactive guidance. The first phase, Goal-adaptive Supervised Fine-Tuning (G-SFT), employs a goal adaptation agent that dynamically adapts to user goal shifts and provides goal-relevant contextual information. G-SFT also incorporates scalable knowledge transfer to distill insights from LLMs into a lightweight model for real-time interaction. The second phase, Click-oriented Reinforcement Learning (C-RL), adopts a generate-rank paradigm, systematically constructs preference pairs from user click signals, and proactively improves click-through rates through more engaging guidance. This dual-phase architecture achieves complementary objectives: G-SFT ensures accurate goal tracking, while C-RL optimizes interaction quality through click signal-driven reinforcement learning. Extensive experiments demonstrate that our framework achieves 86.10% accuracy in offline evaluation (+23.95% over baseline) and 25.28% CTR in online deployment (149.06% relative improvement), while reducing inference latency by 69.55% through scalable knowledge distillation.

Sajad Khatiri, Francisco Eli Vina Barrientos, Maximilian Wulf et al.

Ensuring robust robotic navigation in dynamic environments is a key challenge, as traditional testing methods often struggle to cover the full spectrum of operational requirements. This paper presents the industrial adoption of Surrealist, a simulation-based test generation framework originally for UAVs, now applied to the ANYmal quadrupedal robot for industrial inspection. Our method uses a search-based algorithm to automatically generate challenging obstacle avoidance scenarios, uncovering failures often missed by manual testing. In a pilot phase, generated test suites revealed critical weaknesses in one experimental algorithm (40.3% success rate) and served as an effective benchmark to prove the superior robustness of another (71.2% success rate). The framework was then integrated into the ANYbotics workflow for a six-month industrial evaluation, where it was used to test five proprietary algorithms. A formal survey confirmed its value, showing it enhances the development process, uncovers critical failures, provides objective benchmarks, and strengthens the overall verification pipeline.

Beatriz C. Guerra, Sheida Shahi, Aida Molleai et al.

Abstract Construction consumes more than 3 billion tons of raw materials globally each year. Adopting circular economy principles can help reduce waste and save more than $100 billion per year by improving construction productivity. This study's overarching objective was to investigate the state of adoption of circular economy principles in the construction sector. A multiple case study approach was used, and adoption opportunities were investigated in a global scan of 81 companies implementing circular economy principles in the construction industry. A knowledge framework with 33 attributes was developed to classify the companies, and their initiatives were analyzed in terms of overall focus, lifecycle operations, and business operations. These companies were categorized into seven identified business types, and their adoption of nine major circular business models was evaluated. Opportunity gaps and areas for improvement were identified, and steps for accelerating the shift towards a circular economy in construction were suggested. Furthermore, specific opportunities and prospects were discussed for implementing a circular economy in the United States, Canada, and the European construction industries. Notably, this study fills a gap in the literature by providing empirical evidence of the state of adoption of circular economy principles in the construction sector. Presented findings can help both academics and industry practitioners understand the current state of adoption of circular economy principles by construction companies and accelerate steps towards circularity in construction. Furthermore, the present study highlights the current differences between circular economy in theory and practice.

Madhura Yadav, A. Mathur

Abstract India is the second-biggest producer of bamboo worldwide. The increased dependency on conventional construction materials is held responsible for the degradation of the environment and reduced wood resources, which has led to thought on using bamboo as a substitute for wood and steel. Bamboo is perceived as a sustainable, quickly developing, and crude economic material. The investigation endeavors to legitimize selecting bamboo as an appropriate material for efficient and judicious development and evaluating the literature on how it could be utilized in the construction industry. Bamboo as a composite material can be used for various interior and exterior purposes in buildings like foundation, flyovers, dwellings, multistory buildings, large span structures, and interiors of airports, recreational buildings.

Faris Elghaish, M. Hosseini, Sandra Tawfiq Matarneh et al.

Abstract Various applications integrating Blockchain with the Internet of Things (IoT) have emerged in recent years. While industries such as automotive have embraced this integration, application in other areas such as construction remains limited. The scientometric analysis is applied to 648 papers, identifying the use of IoT and Blockchain in engineering, as well as evaluating the progress of research in the construction industry. The qualitative critical review is applied to 88 papers and analyses successful IoT and Blockchain application cases in construction while also highlighting challenges and limitations. Blockchain of Things (BCoT) as a new concept is introduced to exploit the advantages of IoT and Blockchain, and this paper presents potential uses of BCoT in the construction industry. This paper provides researchers with a comprehensive view of related literature and research gaps that offer opportunities for future research.

Mahsan Sadeghi, A. Mahmoudi, Xiaopeng Deng

Construction 4.0 has become a buzzword since the penetration of building information modeling (BIM), cyber-physical systems, and digital and computing technologies into the construction industry. Among emerging technologies, distributed ledger technology (DLT), or blockchain, is a powerful business enhancer whose potential can disrupt projects, AEC (architecture, engineering, and construction) firms, and construction supply chain, and in a broader sense, the whole construction industry. This technology has not reached the plateau of productivity due to several barriers and challenges. Previous studies have started to investigate the barriers to implementing DLT in various sectors and segmentations. However, we still need further surveys in the construction industry. This study evaluates the applicability of identified challenges and barriers based on a sustainability perspective. Precisely, we will answer which challenges need to be addressed for the sustainability of the construction industry. To meet the research objective, the ordinal priority approach (OPA) in multiple attributes decision-making (MADM) was utilized. This novel method determines the weight of sustainability attributes and barriers simultaneously. The results show that DLT implementation needs (i) infrastructure for data management, (ii) advanced applications and archetypes, and (iii) customers’ demand, interest, and tendency, and (iv) taxation and reporting. Solving high-ranked challenges is the key to social sustainability from the aspects of “supply chain management and procurement”; “transparency, anti-corruption, and anti-counterfeiting”; and “fair operation and honest competition.”

P. Antwi-Afari, S. T. Ng, M. Hossain

ABSTRACT The circular economy (CE) concept has gained popularity among scholars and practitioners as the best way to circumvent the effects of the linear economy and create an effective platform to attain sustainable development within industries including the construction industry. However, understanding parameters of the knowledge body and key issues which needs to be harnessed to enhance the application of concept to the construction industry has been a challenge. In this study, a scientometric analysis was employed to analyze 486 bibliometrics-searched filtered articles of CE in the construction industry to provide a critical understanding of current research trends and applications. Content analysis of selected articles were provided to elucidate key findings, challenges, and proposed strategies, and a SWOT analysis was conducted to appraise the incidental results of applying various circularity strategies to the construction industry. The study has found that key influential areas such as circular product design, end-of-life consideration including the quality, economics, and modular integrated construction were narrowly covered in existing studies. Moreover, there is still a lack of practical CE approach which can integrate the holistic performance assessment tool with the circular business model for the construction industry. Based on the circularity gaps identified through the content analysis, a research framework which consists of eight different research themes including the circular design; manufacture and supply; strategies for CE adoption; consideration of end-of-life principle; CE outcomes/consequences; information exchanges; construction process; and waste management strategies is developed. In addition, a compressive methodological framework is proposed for the effective CE implementation and evaluation. The circularity gaps, key influential areas, research themes, and CE approach highlighted in this study can be used as a guide for future scholarly work and practical adoption of CE in the construction industry.