State-of-the-Art Review on the Applicability of AI Methods to Automated Construction Manufacturing

Hatami, Mohsen; Flood, Ian; Franz, Bryan; Zhang, Xun

doi:10.1061/9780784482438.047

Cited by 15 publications

(13 citation statements)

References 22 publications

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“…Some reviews on this subject have been published as a result of the rapid growth of AI applications in civil engineering [44][45][46][47]. However, the majority of them only emphasize the importance of AI in a particular subfield, such as structural engineering [48], building information modeling (BIM) [49], automated construction manufacturing [50], computer vision [51], and others. Furthermore, Darko et al [52] used scientometric analysis to perform a study on AI in the architecture, engineering, and construction (AEC) industry in order to increase awareness of AI in AEC.…”

Section: Introductionmentioning

confidence: 99%

Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review

Manzoor

Othman

Durdyev

et al. 2021

ASI

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The widespread use of artificial intelligence (AI) in civil engineering has provided civil engineers with various benefits and opportunities, including a rich data collection, sustainable assessment, and productivity. The trend of construction is diverted toward sustainability with the aid of digital technologies. In this regard, this paper presents a systematic literature review (SLR) in order to explore the influence of AI in civil engineering toward sustainable development. In addition, SLR was carried out by using academic publications from Scopus (i.e., 3478 publications). Furthermore, screening is carried out, and eventually, 105 research publications in the field of AI were selected. Keywords were searched through Boolean operation “Artificial Intelligence” OR “Machine intelligence” OR “Machine Learning” OR “Computational intelligence” OR “Computer vision” OR “Expert systems” OR “Neural networks” AND “Civil Engineering” OR “Construction Engineering” OR “Sustainable Development” OR “Sustainability”. According to the findings, it was revealed that the trend of publications received its high intention of researchers in 2020, the most important contribution of publications on AI toward sustainability by the Automation in Construction, the United States has the major influence among all the other countries, the main features of civil engineering toward sustainability are interconnectivity, functionality, unpredictability, and individuality. This research adds to the body of knowledge in civil engineering by visualizing and comprehending trends and patterns, as well as defining major research goals, journals, and countries. In addition, a theoretical framework has been proposed in light of the results for prospective researchers and scholars.

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Section: Introductionmentioning

confidence: 99%

Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review

Manzoor

Othman

Durdyev

et al. 2021

ASI

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

“…The decisionmaking phase in these industries has been dramatically changed with the use of AI instead of pre-programmed algorithms. However, despite their high potential, adoption of these technologies in the construction industry is challenging because construction projects come in a sporadic order and the design requirements vary from one project to another (Hatami et al, 2019). These characteristics have made the work process more complex and result in decreased productivity on construction sites (Hatami et al, 2019).Another big challenge on construction sites is communication, which has in turn adversely affected productivity (Khelifi & Hyari, 2016).…”

mentioning

confidence: 99%

“…However, despite their high potential, adoption of these technologies in the construction industry is challenging because construction projects come in a sporadic order and the design requirements vary from one project to another (Hatami et al, 2019). These characteristics have made the work process more complex and result in decreased productivity on construction sites (Hatami et al, 2019).Another big challenge on construction sites is communication, which has in turn adversely affected productivity (Khelifi & Hyari, 2016). Mohamed and Stewart (2003) show that inferior coordination resulted from poor information handling and exchange leads to excessive costs and delays in construction projects.…”

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confidence: 99%

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Human Factors Considerations for Teaming between Construction Workersand Voice-based Intelligent Virtual Agent (VIVA)

Movassagh

Roofigari‐Esfahan

Lee

et al. 2021

Proceedings of the Human Factors and Ergonomics Society Annual

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Construction sites experience low productivity due to particular characteristics such as unique designs in each project, sporadic arrival of projects, and complexity of the process. Another contributing factor to low productivity is poor communication among workers, supervisors, and a site’s centralized knowledge hub. Research shows that introducing advanced artificial intelligence (AI) technology in construction can tackle these problems. In this paper, we analyzed human factors considerations–user, task, environment, and technology and identified their characteristics and challenges to design an interactive AI system to facilitate communication between workers and other stakeholders. Based on the analysis, we propose a voice-based intelligent virtual agent (VIVA) as a multi-purpose AI system on construction sites with a further research agenda. We hope that this effort can guide the design of construction-specific AI systems and that this worker-AI teaming can improve overall work processes, enhance productivity, and promote safety in construction.

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“…However, the energy savings market, despite its benefits for solving the mentioned challenges of ESCO, is not mature yet and there is discussion about the ways for increasing its performance and effectiveness [14]. As with any market, the ESC market will work and be effective if its supply and demand sides are formed adequately and match with each other [15][16][17][18]. From the demand side, policy makers and governments are pursuing different ways such as determining standards and penalties to reinforce it [19].…”

Section: Introductionmentioning

confidence: 99%

Development of an ESCO Risk Assessment Model as a Decision-Making Tool for the Energy Savings Certificates Market Regulator: A Case Study

et al. 2020

Self Cite

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This article is focused on developing an Energy Service Company (ESCO) risk assessment model for use by energy savings certificates (ESC) market regulators. This model enables market regulators to determine the appropriate point in time for ESCOs to sell their certificates with the aim of minimizing risk as well as maximizing economic gain yet remain motivated for reducing the cost of energy efficiency technologies. To this end, the interactions between an ESCO and other parties (such as suppliers) in the market in addition to the principles of the energy efficiency performance contract are taken into consideration. Then, appropriate probability distributions have been fitted to the stochastic variables to be applied in the Net Present Value (NPV) function, based on sampled company data. A case study considers a one MW Organic Rankine Cycle (ORC) implementation in Iran’s petrochemical industry. The finding of this study shows if the ESCO is allowed to sell the certificates during the first seven years as well reduce 30% of the investment cost, the expected Net Present Value over Investment Cost (NPV/I) savings will cover more than one cycle.

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State-of-the-Art Review on the Applicability of AI Methods to Automated Construction Manufacturing

Cited by 15 publications

References 22 publications

Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review

Influence of Artificial Intelligence in Civil Engineering toward Sustainable Development—A Systematic Literature Review

Human Factors Considerations for Teaming between Construction Workersand Voice-based Intelligent Virtual Agent (VIVA)

Development of an ESCO Risk Assessment Model as a Decision-Making Tool for the Energy Savings Certificates Market Regulator: A Case Study

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