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Implementation of industry 4.0 in construction industry: a review

Author

Listed:
  • Ankur Tayal

    (Delhi Technological University (DTU))

  • Saurabh Agrawal

    (Delhi Technological University (DTU))

  • Rajan Yadav

    (Delhi Technological University (DTU))

Abstract

The article aims to study the literature on Industry-4.0 technologies and “Triple Bottom Line” (social, economical and environmental) parameters in the construction industry. The study focuses on analyzing the gaps in various researches conducted till now and suggests possible information that can be used to improve business processes. Preferred Reporting Items for Systematic Reviews and Meta-Analysis Method is adopted to select the articles. One hundred fifty-six published articles from 2015 to 2023 are examined to understand various theoretical frameworks. Content-based analysis is used for the categorization of five significant categories: (1) Industry 4.0 Enablers; (2) Barriers in Industry 4.0 Adoption; (3) Challenges in Construction Industry; (4) Opportunities for the principle Industry 4.0 Technology; (5) Impact of “Industry 4.0” Technologies. Based on categorization, rewards or incentives, management involvement, employers training, Building Information Modeling, Big Data, Cloud computing, etc., are major enablers of Industry 4.0 in the construction industry. Implementation cost, lack of knowledge, and poor long-term planning are analyzed as common barriers. Numerous challenges and opportunities related to Industry 4.0 technologies have been identified. Moreover, the Triple Bottom Line impacts of Industry 4.0 technologies, such as waste management, cost reduction, health and security, and resource planning, are also analyzed. The study also revealed that there are numerous research gaps in the integrated application of technology and sustainability because of information inadequacy and unawareness of the stakeholders. The study’s findings will help uncover detailed information in a systematical manner for developing an integrated sustainable business environment in the construction industry. The study considering the specific period and inclusion/exclusion criteria can possibly develop limitations of missing a few relevant articles and information in this context.

Suggested Citation

  • Ankur Tayal & Saurabh Agrawal & Rajan Yadav, 2024. "Implementation of industry 4.0 in construction industry: a review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(9), pages 4163-4182, September.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:9:d:10.1007_s13198-024-02432-6
    DOI: 10.1007/s13198-024-02432-6
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    References listed on IDEAS

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    1. Raj, Alok & Dwivedi, Gourav & Sharma, Ankit & Lopes de Sousa Jabbour, Ana Beatriz & Rajak, Sonu, 2020. "Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective," International Journal of Production Economics, Elsevier, vol. 224(C).
    2. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    3. Huzhou Zhu & Bin Sang & Chunyuan Zhang & Lin Guo, 2023. "Have Industrial Robots Improved Pollution Reduction? A Theoretical Approach and Empirical Analysis," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(4), pages 153-172, July.
    4. Hengky Latan & Charbel Jose Chiappetta Jabbour & Ana Beatriz Lopes de Sousa Jabbour, 2021. "Social Media as a Form of Virtual Whistleblowing: Empirical Evidence for Elements of the Diamond Model," Journal of Business Ethics, Springer, vol. 174(3), pages 529-548, December.
    5. Rajput, Shubhangini & Singh, Surya Prakash, 2019. "Connecting circular economy and industry 4.0," International Journal of Information Management, Elsevier, vol. 49(C), pages 98-113.
    6. Julian Marius Müller & Daniel Kiel & Kai-Ingo Voigt, 2018. "What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability," Sustainability, MDPI, vol. 10(1), pages 1-24, January.
    7. Kebir Mohammed Jemal & Marzhan Kabzhassarova & Ramazan Shaimkhanov & Dinara Dikhanbayeva & Ali Turkyilmaz & Serdar Durdyev & Ferhat Karaca, 2023. "Facilitating Circular Economy Strategies Using Digital Construction Tools: Framework Development," Sustainability, MDPI, vol. 15(1), pages 1-16, January.
    8. Irini Barbero & Yacine Rezgui & Ioan Petri, 2023. "A European-wide exploratory study to analyse the relationship between training and energy efficiency in the construction sector," Environment Systems and Decisions, Springer, vol. 43(3), pages 337-357, September.
    9. Liu, Yang & Zhu, Qinghua & Seuring, Stefan, 2017. "Linking capabilities to green operations strategies: The moderating role of corporate environmental proactivity," International Journal of Production Economics, Elsevier, vol. 187(C), pages 182-195.
    10. So-Won Choi & Eul-Bum Lee & Jong-Hyun Kim, 2021. "The Engineering Machine-Learning Automation Platform ( EMAP ): A Big-Data-Driven AI Tool for Contractors’ Sustainable Management Solutions for Plant Projects," Sustainability, MDPI, vol. 13(18), pages 1-33, September.
    11. JongRoul Woo & Jungwoo Shin & Seung-Hoon Yoo & Sung-Yoon Huh, 2023. "Reducing Environmental Impact of Coal-Fired Power Plants by Building an Indoor Coal Storage: An Economic Analysis," Energies, MDPI, vol. 16(1), pages 1-14, January.
    12. Qin, Meng & Zhang, Xiaojing & Li, Yameng & Badarcea, Roxana Maria, 2023. "Blockchain market and green finance: The enablers of carbon neutrality in China," Energy Economics, Elsevier, vol. 118(C).
    13. Pankaj Goel & Raman Kumar & Harish Kumar Banga & Swapandeep Kaur & Rajesh Kumar & Danil Yurievich Pimenov & Khaled Giasin, 2022. "Deployment of Interpretive Structural Modeling in Barriers to Industry 4.0: A Case of Small and Medium Enterprises," JRFM, MDPI, vol. 15(4), pages 1-22, April.
    14. Schwab, Leila & Gold, Stefan & Reiner, Gerald, 2019. "Exploring financial sustainability of SMEs during periods of production growth: A simulation study," International Journal of Production Economics, Elsevier, vol. 212(C), pages 8-18.
    15. Stéphanie Bouchard & Georges Abdulnour & Sébastien Gamache, 2022. "Agility and Industry 4.0 Implementation Strategy in a Quebec Manufacturing SME," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    16. Mani, Venkatesh & Gunasekaran, Angappa & Delgado, Catarina, 2018. "Supply chain social sustainability: Standard adoption practices in Portuguese manufacturing firms," International Journal of Production Economics, Elsevier, vol. 198(C), pages 149-164.
    17. Andrew Rawson & Mario Brito, 2023. "A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis," Transport Reviews, Taylor & Francis Journals, vol. 43(1), pages 108-130, January.
    18. Bernardette Soust-Verdaguer & José Antonio Gutiérrez Moreno & Carmen Llatas, 2023. "Utilization of an Automatic Tool for Building Material Selection by Integrating Life Cycle Sustainability Assessment in the Early Design Stages in BIM," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    19. Guangbin Wang & Huan Liu & Heng Li & Xiaochun Luo & Jiaxi Liu, 2020. "A Building Project-Based Industrialized Construction Maturity Model Involving Organizational Enablers: A Multi-Case Study in China," Sustainability, MDPI, vol. 12(10), pages 1-35, May.
    20. Fatima Afzal & Benson Lim, 2022. "Organizational Factors Influencing the Sustainability Performance of Construction Organizations," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    21. Hengky Latan & Charbel Jose Chiappetta Jabbour & Ana Beatriz Lopes de Sousa Jabbour, 2019. "‘Whistleblowing Triangle’: Framework and Empirical Evidence," Journal of Business Ethics, Springer, vol. 160(1), pages 189-204, November.
    22. Tariq Al Amri & Katalin Puskas Khetani & Manuel Marey-Perez, 2021. "Towards Sustainable I4.0: Key Skill Areas for Project Managers in GCC Construction Industry," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
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