Fundamentals, application and purpose of Construction 4.0 software and technologies: systematic review

A systematic literature review

Authors

DOI:

https://doi.org/10.46421/entac.v20i1.6135

Keywords:

Construction 4.0, Planning, Costs, Time, Systematic Literature Review

Abstract

Construction 4.0 has gained prominence as a means to improve productive performance and reduce costs by utilizing cutting-edge technologies. Determining the fundamentals of Industry 4.0, software, and technologies applied in the market is crucial to understanding the advances in the construction sector. This study aims to present a Systematic Literature Review that seeks answers regarding the use of tools, processes, and systems that constitute Construction 4.0 and their applications in planning and controlling costs and deadlines in construction projects. A total of 53 articles from journals and conferences published between 2013 and 2023 were analyzed. To this end, two guiding questions were formulated, and the search for their explanations guided the development of the study. Based on the research, it was possible to observe the advancement of Industry 4.0 in global civil construction, particularly in the areas of BIM, IoT, and Big Data, with a notable emphasis on the use of BIM tools that have been solidifying in the areas of planning and controlling costs and deadlines. However, the adoption of these technologies is still modest due to the sector's resistance to adopting new technologies, which is attributed to the need for organizational structure adaptation and the costs associated with implementation.

Author Biographies

Andrei Benício Barbosa Silva, Universidade Federal do Ceará

Master's student in Civil Engineering at the Federal University of Ceará (Fortaleza - CE, Brazil).

Camilly Vasconcelos Barbosa, Universidade Federal do Ceará

Master's student in Civil Engineering at the Federal University of Ceará (Fortaleza - CE, Brazil).

Lucas Emanuel Fernandes Araújo, Universidade Federal do Ceará

Master's student in Civil Engineering at the Federal University of Ceará (Fortaleza - CE, Brazil).

José de Paula Barros Neto, Universidade Federal do Ceará

Full Professor at the Federal University of Ceará (Fortaleza - CE, Brazil).

References

MCGREGOR, L. (2017) Industry 4.0 – what does the fourth industrial revolution (4IR) mean for UK business? Innovate UK. Disponível em: https://innovateuk.blog.gov.uk/2017/03/28/what-does-the-fourth-industrial-revolution-4ir-mean-for-uk-business/ Acesso em: 25 novembro 2018.

DALENOGARE, L.S. BENITEZ, G.B. AYALA, N.F. FRANK, A.G. The expected contribution of Industry 4.0 technologies for industrial performance, Int. J. Prod. Econ. 204 (2018) 383–394, https://doi.org/10.1016/j.ijpe.2018.08.019.

ACATECH. National Academy of Science and Engineering. Recommendations for implementing the strategic initiative industrie 4.0. Working Group, Germanz, 2013.

SOUSA, M.; MACIEL, F. W. F.; DAMASCENO, E. F.; BARROS NETO, J. P. Big Data, Machine Learning e Cloud Computing na gestão de obras: uma revisão sistemática da literatura. In: ENCONTRO NACIONAL DE TECNOLOGIA DO AMBIENTE CONSTRUÍDO, 18., 2020, Porto Alegre. Anais... Porto Alegre: ANTAC, 2020.

Instituto Brasileiro de Geografia e Estatística. (2020). Contas nacionais trimestrais de 2019. Rio de Janeiro: IBGE.

EU BIM Task Group. (2017). Handbook for the introduction of Building Information Modelling by the European Public Sector. Disponível em: http://www.eubim.eu/wp-content/ uploads/2017/07/EUBIM_Handbook_Web_Optimized-1.pdf.

LOPES, A. B. et al. Business Intelligence para apoio à gestão na construção civil: uma revisão sistemática da literatura. AtoZ: novas práticas em informação e conhecimento, [S.l.], v. 9, n. 1, p. 74 - 84, ago. 2020. ISSN 2237-826X. Disponível em: <https://revistas.ufpr.br/atoz/article/view/72574>. Acesso em: 30 maio 2024. doi:http://dx.doi.org/10.5380/atoz.v9i1.72574.

TRANFIELD, D.; DENYER, D.; SMART, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management (14), 207–222.

KITCHENHAM, B. (2007). Guidelines for performing systematic literature reviews in software engineering. Bio-medical and Environmental Sciences, 13 (1), 37–43. doi: 10.1145/1134285.1134500.

AMMAR, A.; NASSEREDDINE, H. Blueprint for Construction 4.0 Technologies: A Bibliometric Analysis. IOP Conference Series. Materials Science And Engineering, v. 1218 p. 1-6, janeiro, 2022.

BEGIC, H.; GALIC, M.; A Systematic Review of Construction 4.0 in the Contexto of the BIM 4.0 Premise. Buildings v. 11, p 12-32, agosto, 2021.

BELLUZO, B. G.; COPPI, I. M. M.; de OLIVEIRA I. M.; de MELLO FILHO, L. V. F. Big data e suas aplicações na engenharia civil. Brazilian Technology Symposium, 2016.

BORGES, R. M. S.; VIEIRA, B. M. P.; CAMPOS, V. R.; BARROS NETO, J. de P. CARACTERIZAÇÃO DA PRODUÇÃO CIENTÍFICA SOBRE A INTERNET DAS COISAS NA CONSTRUÇÃO CIVIL E SEUS IMPACTOS EM PRODUTIVIDADE: ANÁLISE DE TRABALHOS PUBLICADOS EM ÂMBITO INTERNACIONAL. In: ENCONTRO NACIONAL DE TECNOLOGIA DO AMBIENTE CONSTRUÍDO, 18., 2020. Anais [...]. Porto Alegre: ANTAC, 2020. p. 1–8. DOI: 10.46421/entac.v18i.1203. Disponível em: https://eventos.antac.org.br/index.php/entac/article/view/1203. Acesso em: 28 maio. 2024.

CALVETTI, D.; MÊDA, P.; CHICHORRO GONÇALVES, M.; SOUSA, H. Worker 4.0: The Future of Sensored Construction Sites. Buildings 2020, 10, 169. https://doi.org/10.3390/buildings10100169.

CARNEIRO, J. Q.; CARNEIRO, A. Q.; CANDIDO, L. F. Indústria 4.0 e construção enxuta: o caso do sistema AGILEAN. In: SIMPÓSIO BRASILEIRO DE TECNOLOGIA DA INFORMAÇÃO E COMUNICAÇÃO NA CONSTRUÇÃO, 2., 2019. Anais [...]. Porto Alegre: ANTAC, 2019. p. 1–6. DOI: 10.46421/sbtic. v2i00.173. Disponível em: https://eventos.antac.org.br/index.php/sbtic/article/view/173. Acesso em: 10 jul. 2023.

CHEN, Y.; HUANG, D.; LIU, Z.; OSMANI, M.; DEMIAN, P.; Construction 4.0, industry 4.0, and Building Information Modeling (BIM) for Sustainable Building Development within the Smart City. Sustainability, v. 14, p.1-37, agosto, 2022.

CRAVEIRO, F.; DUARTE, J. P.; BARTOLO, H.; BARTOLO, P. J. Additive manufacturing as an enabling technology for digital construction: A perspective on Construction 4.0, Automation in Construction, V. 103, 2019, Pg. 251-267, ISSN 0926-5805, https://doi.org/10.1016/j.autcon.2019.03.011.

DING, C.; KOHLI, R. Analysis of Building collaborative platform for Industry 4.0 based on Building Information Modeling technology. IET Collaborative Intelligent Manufacturing, v. 3, p. 233-242, agosto, 2021.

FORCAEL, E.; FERRARI, I.; OPAZO-VEJA, A.; PULIDO-ARCAS. J. A.; Construction 4.0: A Literature Review. Sustainability, v. 12, p.1-37, novembro, 2020.

IBRAHIM, F. S. B.; ESA, M. B.; KAMAL, E. B. M.; Towards Construction 4.0: Empowering BIM Skilled Talents in Malaysia. International Journal of Scientific & Technology Research, v. 8, p. 1694-1700, outubro 2019.

KOZLOVSKA, M.; KLOSOVA D.; STRUKOVA, Z. Impacto f Industry 4.0 Platform on the Formation of Construction 4.0 Concept: A Literature Review. Sustainability, v. 13, p.1-37, março, 2021.

OSUNSANMI, T. O.; AIGBAVBOA, C. O.; OKE, A. E.; LIPHADZI, M. Appraisal of stakeholders’ willingness to adopt construction 4.0 technologies for construction projects. Built Environment Project and Asset Management. v. 10 p. 547-565, janeiro, 2020.

OTTONI, A. L. C.; NOVO, M. S.; COSTA, D. B.; Deep Learning for vision systems in Construction 4.0: a systematic review. SIViP, v. 17, p. 1821-1829, dezembro, 2022.

OVIEDO-HAITO, R.J.J.; MORATTI, T.; CARDOSO, F.F. Desafios da gestão da produção na construção 4.0. In: SIMPÓSIO BRASILEIRO DE GESTÃO E ECONOMIA DA CONSTRUÇÃO, 11., 2019, Londrina. Anais [...]. Porto Alegre: ANTAC, 2019. Disponível em: https://www.antaceventos.net.br/index.php/sibragec/sibragec2019/paper/view/466.

PERRIER, N.; BLED, A.; BOURGAULT, M.; COUSIN, N.; DANJOU, C.; PELLERIN, R.; ROLAND, T. CONSTRUCTION 4.0: A SURVEY OF RESEARCH TRENDS. Journal of Information Technology in Construction, v. 25, p. 416-437. Setembro, 2020.

SHAFEI, H.; RADZI, A. R.; ALGAHTANY, M.; RAHMAN, R. A. Construction 4.0 Technologies and Decision-Making: A Systematic Review and Gap Analysis. Building, v. 12, p. 22-54, dezembro,2022.

SHERRATT, F.; DOWSETT, R.; SHERRATT, S.; Construction 4.0 and its potential impacto on peopleworking in the construction industry. Management, Procurement and Law, v. 173, p. 145-152, novembro, 2020.

SIMÃO, A. dos S.; ALCOFORADO, L. F.; LONGO, O. C.; SANTOS, D. A. dos, SANTOS; F. dos, Silva; A. D., MENEZES, C. A. G.; JÚNIOR, J. C. M. (2019). Impactos da indústria 4.0 na construção civil brasileira. Brazilian Journal of Development, 5(10), 20130–20145. https://doi.org/10.34117/bjdv5n10-210.

SUN, H.; FAN, M.; SHARMA, A.; Desing and implementation of construction prediction and management platform based on building information modelling and three-dimensional simulation technology in Industry 4.0. IET Collaborative Intelligent Manufacturing, v. 3, p. 233-242, março, 2021.

GILL, H. Cyber-Physical Systems: Beyond ES, SNs, and SCADA. Presentation in the Trusted Computing in Embedded Systems (TCES) Workshop, 2010.

LEE, E.A. Cyber Physical Systems: Design Challenges. 11th IEEE International Symposium on. IEEE Computer Society, Los Alamitos, Californian, pp. 363-369, 2008.

ALALOUL, W. S.; LIEW, M. S.; ZAWAWI, N. A. W. A.; MOHAMMED, B. S. Industry Revolution IR 4.0: Future Opportunities and Challenges in Construction Industry. MATEC Web of Conferences, v. 203, p. 1–7, 2018. Disponível em: https://doi.org/10.1051/matecconf/201820302010.

CHANDANSHIVE, V. B.; KAZI, A. M. Application of Internet of Things in Civil Engineering construction projects-A State of the Art. In: International Conference On Computing For Sustainable Global Development, 4., 2017, New Delhi,p. 1836-1839.

HEISKANEN, A. The technology of trust: How the Internet of Things and blockchain could usher in a new era of construction productivity. Construction Research And Innovation, v. 8, n. 2, p. 66-70, 3 abr. 2017. http://dx.doi.org/10.1080/20450249.2017.1337349.

FANG et al. Case Study of BIM and Cloud–Enabled Real-Time RFID Indoor Localization for Construction Management Applications. Journal of Construction Engineering and Management, v. 142, n. 7, 2016.

SANTOS, A. C. M. dos. Aprendizado de máquina aplicado ao diagnóstico de Dengue. ENCONTRO NACIONAL DE INTELIGÊNCIA ARTIFICIAL E COMPUTACIONAL, 13., 2016, Recife.12 p.

MASKURIY, R.; SELAMAT, A.; ALI, K. N.; MARESOVA, P.; KREJCAR, O. Industry 4.0 for the construction industry-How ready is the industry? Applied Sciences (Switzerland), v. 9, n. 14, 2019. Disponível em: https://doi.org/10.3390/app9142819.

Published

2024-10-07

How to Cite

SILVA, Andrei Benício Barbosa; BARBOSA, Camilly Vasconcelos; ARAÚJO, Lucas Emanuel Fernandes; BARROS NETO, José de Paula. Fundamentals, application and purpose of Construction 4.0 software and technologies: systematic review: A systematic literature review. In: NATIONAL MEETING OF BUILT ENVIRONMENT TECHNOLOGY, 20., 2024. Anais [...]. Porto Alegre: ANTAC, 2024. p. 1–12. DOI: 10.46421/entac.v20i1.6135. Disponível em: https://eventos.antac.org.br/index.php/entac/article/view/6135. Acesso em: 21 nov. 2024.

Issue

Section

Tecnologias de Sistemas e Processos Construtivos

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