Utilization of AI in Facilities Maintenance


Authors : Abdullah Alhubail

Volume/Issue : Volume 10 - 2025, Issue 3 - March


Google Scholar : https://tinyurl.com/3nk5mabt

Scribd : https://tinyurl.com/5n94tzan

DOI : https://doi.org/10.38124/ijisrt/25mar868

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Abstract : The integration of Artificial Intelligence (AI) into facilities maintenance is transforming the way building systems are managed and maintained. AI technologies such as predictive maintenance, machine learning (ML), natural language processing (NLP), and computer vision are enabling facilities managers to optimize maintenance processes, reduce downtime, and enhance operational efficiency. This paper explores the role of AI in improving various aspects of facilities maintenance, including predictive analytics, automation of routine tasks, and enhanced decision-making capabilities. The research discusses the benefits, challenges, and future trends of AI in the field of facilities maintenance, providing insights into how AI can contribute to the sustainability and long-term performance of buildings.

References :

  1. Zhang, Y., & Li, X. (2021). Artificial Intelligence for Smart Building Management: A Review. Journal of Building Performance, 12(2), 15-28.
  2. Jiang, Y., & Zhao, D. (2020). AI in Facilities Maintenance: Trends and Future Directions. Facilities Management Journal, 34(1), 45-60.
  3. Li, B., & Wang, J. (2019). Predictive Maintenance in Smart Buildings: A Review of AI Technologies and Applications. Automation in Construction, 107, 102-113.
  4. Wei, X., & Liu, F. (2022). Machine Learning for Energy Optimization in Building Management Systems. Energy Reports, 8, 245-258.
  5. Brown, S., & Patel, M. (2020). Smart Building Technologies: The Role of AI in Facilities Maintenance. Journal of Smart Buildings, 25(3), 112-127.

The integration of Artificial Intelligence (AI) into facilities maintenance is transforming the way building systems are managed and maintained. AI technologies such as predictive maintenance, machine learning (ML), natural language processing (NLP), and computer vision are enabling facilities managers to optimize maintenance processes, reduce downtime, and enhance operational efficiency. This paper explores the role of AI in improving various aspects of facilities maintenance, including predictive analytics, automation of routine tasks, and enhanced decision-making capabilities. The research discusses the benefits, challenges, and future trends of AI in the field of facilities maintenance, providing insights into how AI can contribute to the sustainability and long-term performance of buildings.

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