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Artificial Intelligence-Driven Innovations for Sustainable and Smart Building Maintenance

Author

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  • Mohd Zulakhmar Zakiyudin

    (Centre of Studies for Buildin Surveying, Faculty of Built Environment, Universiti Teknologi Mara, Shah Alam, Selangor, Malaysia)

  • Mohamad Sufian Hasim

    (Centre of Studies for Buildin Surveying, Faculty of Built Environment, Universiti Teknologi Mara, Shah Alam, Selangor, Malaysia)

Abstract

This review explores innovative technological solutions and sustainable management strategies transforming building maintenance toward smarter and more environmentally responsible practices. It highlights the integration of AI, digital twins, IoT, robotics, and blockchain in enhancing predictive maintenance, real-time monitoring, and data security. The document emphasizes the importance of sustainable strategies including lean maintenance, energy optimization, and stakeholder engagement to promote efficiency and social benefits. Additionally, it underscores operational decision-making supported by data analytics, multi-criteria frameworks, and user feedback, alongside challenges such as organizational readiness and data fragmentation. Future research is directed toward socio-technical integration, real-world validation, and advancing smart city initiatives, aiming to create resilient and sustainable built environments.

Suggested Citation

  • Mohd Zulakhmar Zakiyudin & Mohamad Sufian Hasim, 2025. "Artificial Intelligence-Driven Innovations for Sustainable and Smart Building Maintenance," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(11), pages 1919-1930, November.
    • Handle: RePEc:bcp:journl:v:9:y:2025:i:11:p:1919-1930
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