Abstract
Industry 4.0 technologies have revolutionized manufacturing industries in many domains. Although the construction industry still lags behind other industries in terms of digitization and automation, disruptive I4.0 technologies, are gradually transforming the traditional nature of this industry. Internet of Things or IoT, associated with tracking technologies, can improve automation through real time capturing, accessing, tracking, and sharing information; which ultimately leads to more decentralized decision-makings. While these technologies can help improve project performance metrics, their impacts on project integration is still unknown. In this paper, we aimed to understand the impact of the propose IoT tracking system, on integration in terms of (a) horizontal, (b) end-to-end digital, and (c) vertical integrations. To achieve this goal, we conducted a case study on digital transformation of a steel fabrication plant in Quebec, Canada. We developed a smart steel manufacturing IoT-based architecture and proposed an automated identification tracking method for tracking steel products. Finally, we implemented the proposed system in a case study, and discussed its impact on three levels of integration in construction projects.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aripin IDM, Zawawi EMA, Zulhabri I (2019) Factors influencing the implementation of technologies behind industry 4.0 in the Malaysian construction industry, vol 266. In: MATEC web of conferences. EDP Sciences, pp 1–6
Ashton K (2009) That ‘Internet of Things’ thing. RFID J 22
Atzori L, Lera A, Morabito G (2010) The internet of things: a survey. 54(15):2787–2805.https://doi.org/10.1016/j.comnet.2010.05.010
CANAM Construction Group (2020). https://www.groupeCANAM.com/en/. Last visited 8 November 2020
Gubbi J, Buyya R, Marusic S, Palaniswami M (2013) Internet of things (IoT): a vision, architectural elements, and future directions. Futur Gener Comput Syst 29(7):1645–1660. https://doi.org/10.1016/j.future.2013.01.010
Isikdag U, Zlatanova S, Underwood J (2012) An opportunity analysis on the future role of BIMs in urban data management. In: Zlatanova S, Ledoux H, Fendel EM, Rumor M (eds) Urban and regional data management—UDMS annual 2011. Taylor & Francis, London, pp 25–36
Kaur J, Kaur K (2017) Internet of things: a review on technologies, architecture, challenges, applications, future trends. Int J Comput Netw Inform Sec (IJCNIS) 9(4):57–70. https://doi.org/10.5815/ijcnis.2017.04.07
Li S, Xu LD, Zhao S (2014) The internet of things: a survey. University of Bristol, Old Dominion University, Norfolk, VA 23529, USA, University of the West of Scotland, Published Online, Springer Science Business Media New York, 26 April 2014
Mourtzis D, Milas N, Vlachou K (2018) Digital transformation of structural steel manufacturing enabled by IoT-based monitoring and knowledge reuse. In: 2018 5th international conference on control, decision and information technologies (CoDIT’18), Thessaloniki, Greece, 10–13 April 2018
Oesterreich TD, Teuteberg F (2016). Understanding the implications of digitisation and automation in the context of Industry 4.0: a triangulation approach and elements of a research agenda for the construction industry. Comput Ind 83:121–139. https://doi.org/10.1016/j.compind.2016.09.006
Perrier N, Bled A, Bourgault M, Cousin N, Danjou Ch, Pellerin R, Roland Th (2020) Construction 4.0: a survey of research trends. J Inform Technol Constr (ITcon) 25:416–437.https://doi.org/10.36680/j.itcon.2020.024
Siepmann D, Graef N (2016) Industrie 4.0—Grundlagen und Gesamtzusammenhang. In: Roth A (ed) Einführung und Umsetzung von Industrie 4.0. Springer Gabler, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48505-7_2
Underwood J, Isikdag U (2011) Emerging technologies for BIM 2.0. J Constr Innov 11(3):252–258
Valente FJ, Neto AC (2017) Intelligent steel inventory tracking with IoT/RFID. In: 2017 IEEE international conference on RFID technology and application (RFID-TA), Warsaw, pp 158–163. https://doi.org/10.1109/RFID-TA.2017.8098639
Acknowledgements
The authors would like to acknowledge the support provided by CANAM Construction Group and Pomerleau Industrial Research Chair in Innovation and Construction Project Governance, to conduct this research project.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 Canadian Society for Civil Engineering
About this paper
Cite this paper
Rankohi, S., Bourgault, M., Iordanova, I., Danjou, C., Garcia, P., Grondin, J. (2023). Integration and I4.0 Tracking Systems for Steel Manufacturing Industry. In: Walbridge, S., et al. Proceedings of the Canadian Society of Civil Engineering Annual Conference 2021. CSCE 2021. Lecture Notes in Civil Engineering, vol 247. Springer, Singapore. https://doi.org/10.1007/978-981-19-0968-9_19
Download citation
DOI: https://doi.org/10.1007/978-981-19-0968-9_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-0967-2
Online ISBN: 978-981-19-0968-9
eBook Packages: EngineeringEngineering (R0)