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Use of Artificial Intelligence in Occupational Health and Safety in Construction Industry: A Proposed Framework for Saudi Arabia

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Industrial Engineering and Applications – Europe (ICIEA-EU 2024)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 507))

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Abstract

Occupational accidents have always been very important for all industries due to its significant impacts on projects and society. Whereas the case in construction industry is also similar due to higher number of occupational accidents recorded in various countries. In current dynamic technological era, conventional Health and Safety (H&S) practices are not sufficient thus new approaches are important to explore. It is observed from the detailed literature review that there are various existing tools designed by various researcher in different scenario but there is a lack to device an integrated approach. Therefore, this paper proposes an integrated approach to monitor the H&S at site. The proposed framework will help the decision makers to manage and monitor the health and safety practices at site in a real time environment.

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Acknowledgments

The authors are thankful to Prince Sultan University, Saudi Arabia for supporting this conference attendance and expert support.

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Authors and Affiliations

  1. Department of Engineering Management, College of Engineering, Prince Sultan University, Riyadh, Saudi Arabia

    Shabir Hussain Khahro

  2. Jamilus Research Center, Faculty of Civil Engineering and Built Environment, Universiti Tun Hussein Onn Malaysia, 86400, Parit Raja, Batu Pahat, Johor, Malaysia

    Qasim Hussain Khahro

Authors
  1. Shabir Hussain Khahro
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  2. Qasim Hussain Khahro
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Corresponding author

Correspondence to Shabir Hussain Khahro .

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Editors and Affiliations

  1. Asian University, Taichung, Taiwan

    Shey-Huei Sheu

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Khahro, S.H., Khahro, Q.H. (2024). Use of Artificial Intelligence in Occupational Health and Safety in Construction Industry: A Proposed Framework for Saudi Arabia. In: Sheu, SH. (eds) Industrial Engineering and Applications – Europe. ICIEA-EU 2024. Lecture Notes in Business Information Processing, vol 507. Springer, Cham. https://doi.org/10.1007/978-3-031-58113-7_5

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  • DOI: https://doi.org/10.1007/978-3-031-58113-7_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-58112-0

  • Online ISBN: 978-3-031-58113-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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