Industry 4.0 Innovations in Construction
Proposal of a Maturity Model
DOI:
https://doi.org/10.31686/ijier.vol10.iss9.3892Keywords:
Innovation, Industry 4.0, Construction, Engineering, Maturity ModelAbstract
The dawn of the Fourth Industrial Revolution, better known as Industry 4.0, is set to enable global networks of machines and equipment in an environment of smart factories, capable of instantly exchanging information in an independent manner and having the Internet of Things and Cyber-Physical Systems as backbone for an autonomous operation. Great gains in productivity and flexibility are expected, which tend to intensify global competitiveness, promote social changes and economic development, besides stimulating new academic works, such as the proposal of models capable of identifying the maturity level of an organization in this context. Therefore, the present work proposes a maturity model to measure the maturity level of civil construction companies regarding the adoption of technologies and practices of Industry 4.0. Based on a systematic literature review, the proposed model was built from existing maturity models and their characteristics and relevant components. The model is supported by a elaborated questionnaire of twenty-three questions considering four dimensions (Technology, Organization, People and Sustainability) which was submitted to seven different companies in the city of Manaus/Brazil. The results after the practical application of the model showed that most companies had a low level of adoption of Industry 4.0 principles and there is plenty of room for improvement.
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Albach, H. & Moerke, A. (1996). Die Überlegenheit der japanischen Unternehmen im globalen Wettbewerb. Berlin: Wissenschaftszentrum Berlin für Sozialforschung.
Becker, J., Knackstedt, R. & Pöppelbuss, J. (2009). Developing maturity models for IT management. Business & Information Systems Engineering, 1, 213-222. DOI: https://doi.org/10.1007/s12599-009-0044-5
Bermudes, W. et al (2016). Tipos de escalas utilizadas em pesquisas e suas aplicações. Vértices, 18(2), 7-20. DOI: https://doi.org/10.19180/1809-2667.v18n216-01
Chen, Q. et al.(2018). Construction Automation: research areas, industry concerns and suggestions for advancement. Automation in Construction, 94, 22-38. DOI: https://doi.org/10.1016/j.autcon.2018.05.028
Cheng, J. & Ma, L. (2013). A BIM-based system for demolition and renovation waste estimation and planning. Waste management, 33, 1539-1551. DOI: https://doi.org/10.1016/j.wasman.2013.01.001
Coelho, P. M. (2016). Rumo a Indústria 4.0 [Masters thesis, University of Coimbra]. Universitye of Coimbra Research Repository.
Confederação Nacional da Indústria (CNI) (2016). Sondagem Especial da Indústria 4.0. Indicadores CNI.
Dallasega, P., Rauch, E. & Linder, C. (2018). Industry 4.0 as na enabler of proximity for construction supply chains: a systematic literature review. Computers in Industry, 99, 205-225. DOI: https://doi.org/10.1016/j.compind.2018.03.039
De Bruin, T. et al. (2005). Understanding the main phases os developing a maturity assessment model. 16th Australasian Conference on Information Systems, Sydney, Australia.
Dias, M. A. (2019). O que é uma Pesquisa Survey. Retrieved from https://www.opuspesquisa.com/blog/tecnicas/pesquisa-survey/
Eastman, C., Teicholz, P., Sacks, R. & Liston, K. (2011). BIM Handbook – A guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors. Hoboken: Wiley.
Federação das Indústrias do Estado do Rio de Janeiro. (2014). Construção Civil: Desafios 2020. Retrieved from https://www.firjan.com.br/construcao-civil/desafios.htm
Federação das Indústrias do Estado do Rio de Janeiro. (2016). Panorama da Inovação Indústria 4.0. Publicações FIRJAN, Cadernos Senai de Inovação.
Forgues, D., Rivest, L., Danjou, C. & Meyer, J. (2019). De l’Industrie 4.0 à la Construction 4.0: Des exemples concrets!. Congrès 2019:influencez l’avenir, Quebec.
Frigieri, V. & Zilbovicius, M. (2002) Proposta de um modelo de análise da integração operacional em empresas de construção civil. Boletim Técnico da Escola Politécnica da USP, São Paulo.
Gao, H., Koch, C. & Wu, Y. (2019). Building information modelling based building energy modelling: A review. Applied Energy, 238, 320-343. DOI: https://doi.org/10.1016/j.apenergy.2019.01.032
Hermann, M. et al. Design Principles for Industrie 4.0 scenarios. (2016). 49th Hawaii International Conference on System Sciences, USA, 1, 3928-3937. DOI: https://doi.org/10.1109/HICSS.2016.488
Hossain, M. & Nadeem, A. (2019). Towards digitizing the construction industry: state of the art of Construction 4.0. Interdependence between Structural Engineering and Construction Management, 6. DOI: https://doi.org/10.14455/ISEC.res.2019.184
InHabitat (2015). In situ Manufacturer Robot [Photograph]. InHabitat. https://inhabitat.com/the-in-situ-fabricator-is-an-autonomous-construction-worker-that-can-learn-on-the-job/
IReviews (2017). Semi-automated mason (SAM) [Photograph]. IReviews. https://www.ireviews.com/news/2017/04/05/sam100-semi-automated-mason/
Labonnote, N. et al. (2016). Additive construction: state of the art, challenges and opportunities, Automation in Construction, 72, 347-366. DOI: https://doi.org/10.1016/j.autcon.2016.08.026
La Rivera, F. M. et al. Methodological Technological Framework for Construction 4.0. (2020). Archives of Computational Methods in Engineering, 28, 689-711. DOI: https://doi.org/10.1007/s11831-020-09455-9
Leusin, S. R. (2018). Gerenciamento e coordenação BIM – Um guia de ferramentas e boas práticas para o sucesso de empreendimentos. Rio de Janeiro: Elsevier Editora.
Li, J. & Yang, H. (2017). A Research on Development of Construction Industrialization Based on BIM Technology under the background of Industry 4.0. Matec Web of Conferences, 100, 2046-2053. DOI: https://doi.org/10.1051/matecconf/201710002046
Lin, H. F. (2007). A stage model of knowledge management: na empirical investigation of process and effectiveness. Journal of Information Science, 33, 643-569. DOI: https://doi.org/10.1177/0165551506076395
Loosemore, M. (2014). Innovation strategy and risk in construction. New York: Routledge. DOI: https://doi.org/10.4324/9780203809150
Lu, W. et al. (2017). Computational Building Information Modelling for construction waste management: Moving from rhetoric to reality. Renewable and Sustainable Energy Reviews, 68, 587-595. DOI: https://doi.org/10.1016/j.rser.2016.10.029
Maier, A. M. et al. (2012). Assessing Organizational Capabilities: Reviewing and Guiding the Development of Maturity Grids. IEEE Transactions on Engineering Management, 59, 138-159. DOI: https://doi.org/10.1109/TEM.2010.2077289
Mahmud, S. H., Assan, L. & Islam, R. (2018). Potentials of Internet of Things (IoT) in Malaysian Construction Industry. Annals of Emerging Technologies in Computing, 2(4). DOI: https://doi.org/10.33166/AETiC.2018.04.004
Mhaske, M. et al. Construction waste minimization. (2017). International Research Journal of Engineering and Technology, 4.
Mineiro, M. (2020). Pesquisa Survey e Amostragem: Aportes Teóricos Elementares. Revista de Estudos em Educação e Diversidade, 1(2), 284-306. DOI: https://doi.org/10.22481/reed.v1i2.7677
Organisation for Economic Co-operation and Development. (2005). Oslo Manual: guidelines for collecting and interpreting innovation data. Retrieved from https://www.oecd-ilibrary.org/science-and-technology/oslo-manual_9789264013100-en
Oesterreich, T. D. & Teuteberg, F. (2016). Understanding the implications of digitisation and automation in the contexto of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry. Computers in Industry, 83, 121-139. DOI: https://doi.org/10.1016/j.compind.2016.09.006
Olugbenga, A. et al. (2018). Designing out contruction waste using BIM technology: Stakeholder’s expectations for industry deployment. Journal of Cleaner Production, 180, 375-385. DOI: https://doi.org/10.1016/j.jclepro.2018.01.022
Pasetti, G. M. et al. (2018). Parametric and generative design techniques in mass production enviroment as effective enablers of Industry 4.0 approaches in the buiding industry. Automation in Construction, 92, 270-285. DOI: https://doi.org/10.1016/j.autcon.2018.02.027
Poeppelbuss, J. & Roeglinger, M. (2011). What makes a useful maturity model? A framework of general design principles for maturity models and its demonstration in business process management. 19th European Conference on Information Systems, Helsinki, 9.
Roglinger, M. J. et al. (2012). Maturity Models in Business Process Management. Business Process Management Journal, 18. DOI: https://doi.org/10.4018/978-1-4666-0249-6.ch002
Rüssmann, M. et al (2015). Industry 4.0: The future of productivity and growth in manufacturing industries. The Boston Consulting Group, 9.
Santos, J. B. S. & Costa, A. P. C. S. (2019). Enterprise maturity models: a systematic literature review. Enterprise Information Systems, 13, 1-51. DOI: https://doi.org/10.1080/17517575.2019.1575986
Schuh, G. et al. (2020). Industrie 4.0 Maturity Index. Managing the Digital Transformation of Companies ACATECH STUDY, Munich. Retrieved from https://en.acatech.de/publication/industrie-4-0-maturity-index-update-2020/
Schwab, K. (2016). A Quarta Revolução Industrial. São Paulo: Edipro.
Song, G., Wang, C. & Wang, B. (2017). Structural Health Monitoring (SHM) of Civil Structures. Applied Sciences, 7(8). DOI: https://doi.org/10.3390/app7080789
Soto, B. G. et al. (2018). Productivity of digital fabrication in construction: cost and time analysis of a robotically built wall. Automation in Construction, 92, 297-311. DOI: https://doi.org/10.1016/j.autcon.2018.04.004
Stock, T. & Seliger, G. (2016). Opportunities of sustainable manufacturing in industry 4.0 Procedia CIRP, 40, 536-541. DOI: https://doi.org/10.1016/j.procir.2016.01.129
Tiku, S., Azarian, M. & Pecht, M. (2007). Using a reliability capability maturity model to benchmark electronics companies. International Journal of Quality & Reliability Management, 24, 547-563. DOI: https://doi.org/10.1108/02656710710748394
Wendler, R. (2012). The maturity of maturity model research: A systematic mapping study. Information and Software Technology, 54(12), 1317-1339. DOI: https://doi.org/10.1016/j.infsof.2012.07.007
WORLD BANK. (1984). The construction industry: issues and strategies in developing countries. Retrieved from https://documents.worldbank.org/en/publication/documents-reports/documentdetail/111041468174871723/the-construction-industry-issues-and-strategies-in-developing-countries
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Copyright (c) 2022 Alberto Antonio Tuma Neto, Armando Araujo de Souza Junior
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Accepted 2022-08-19
Published 2022-09-01
