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Smart Building Asset Management Frameworks for Reducing Equipment Downtime, Maintenance Costs and Operational Risks in Saudi Arabia

Muhammad Junaid Raza

Subject area: Science,Engineering and Technology  ·  Area of research: Facilities and Asset Management

Abstract

Smart building investment in Saudi Arabia is expanding the installed base of digitally connected mechanical, electrical and plumbing assets, yet connected equipment does not automatically deliver reliable operations. This critical integrative review examines how asset management frameworks can reduce unplanned downtime, control whole-life maintenance expenditure and contain operational risk across complex building portfolios. Thirty DOI-identified articles published during 2020–2025 provide a bounded interpretive evidence base, complemented by two supplied technical examples. Evidence is compared across information continuity, sensing and fault diagnosis, maintenance prioritisation, decision accountability and performance verification. The resulting framework joins an authoritative asset register to condition intelligence, failure consequence analysis, executable work orders and post-intervention learning. Its distinctive proposition is that economic and reliability gains arise from disciplined decisions, not predictive models alone. Saudi implementation requires special attention to cooling dependency, climatic exposure, heterogeneous building maturity, contractor interfaces and data governance. The review offers measurable indicators, a phased adoption pathway and falsifiable research propositions. It does not claim that the proposed architecture has been field tested or that disparate case study savings can be generalised to Saudi portfolios.

Keywords

Smart buildings, asset management, predictive maintenance, facilities management, operational resilience, Saudi Arabia, digital twins, lifecycle cost

References

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How to cite this paper

Muhammad Junaid Raza "Smart Building Asset Management Frameworks for Reducing Equipment Downtime, Maintenance Costs and Operational Risks in Saudi Arabia" Iconic Research And Engineering Journals Volume 10 Issue 5 2026 Page 2820-2832
Muhammad Junaid Raza "Smart Building Asset Management Frameworks for Reducing Equipment Downtime, Maintenance Costs and Operational Risks in Saudi Arabia" Iconic Research And Engineering Journals, vol. 10, no. 5, Nov. 2026
Muhammad Junaid Raza (2026). Smart Building Asset Management Frameworks for Reducing Equipment Downtime, Maintenance Costs and Operational Risks in Saudi Arabia. Iconic Research And Engineering Journals, 10(5).
Muhammad Junaid Raza "Smart Building Asset Management Frameworks for Reducing Equipment Downtime, Maintenance Costs and Operational Risks in Saudi Arabia" Iconic Research And Engineering Journals, vol. 10, no. 5, Nov. 2026.
@article{1725157,
      author = {Muhammad Junaid Raza},
      title = {Smart Building Asset Management Frameworks for Reducing Equipment Downtime, Maintenance Costs and Operational Risks in Saudi Arabia},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {5},
      pages = {2820-2832},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1725157.pdf},
      abstract = {Smart building investment in Saudi Arabia is expanding the installed base of digitally connected mechanical, electrical and plumbing assets, yet connected equipment does not automatically deliver reliable operations. This critical integrative review examines how asset management frameworks can reduce unplanned downtime, control whole-life maintenance expenditure and contain operational risk across complex building portfolios. Thirty DOI-identified articles published during 2020–2025 provide a bounded interpretive evidence base, complemented by two supplied technical examples. Evidence is compared across information continuity, sensing and fault diagnosis, maintenance prioritisation, decision accountability and performance verification. The resulting framework joins an authoritative asset register to condition intelligence, failure consequence analysis, executable work orders and post-intervention learning. Its distinctive proposition is that economic and reliability gains arise from disciplined decisions, not predictive models alone. Saudi implementation requires special attention to cooling dependency, climatic exposure, heterogeneous building maturity, contractor interfaces and data governance. The review offers measurable indicators, a phased adoption pathway and falsifiable research propositions. It does not claim that the proposed architecture has been field tested or that disparate case study savings can be generalised to Saudi portfolios.},
      keywords = {Smart buildings, asset management, predictive maintenance, facilities management, operational resilience, Saudi Arabia, digital twins, lifecycle cost},
      month = {November},
  }