Jul 2026· Global academic journal of economics and business· Vol 8, pp. 765-773· 0 citations
Abstract
Saudi Arabia's mega-project portfolio is reshaping the operational logic of the built environment. Smart districts, high-rise mixed-use assets, hospitals, transport hubs, hotels and mission-critical public facilities are expected to perform as continuously optimised systems rather than static construction outputs. This review examines how digital twin applications can improve smart building operations, maintenance and risk management in Saudi mega projects under Vision 2030. The paper synthesises peer-reviewed literature from 2020 to 2025 and develops a building lifecycle framework linking BIM, IoT, building management systems, artificial intelligence, facility management platforms and governance controls. The central argument is that a digital twin becomes valuable only when it converts live building data into verified operational decisions: fault detection, energy optimisation, predictive maintenance, safety alerts, resilience planning, asset lifecycle analysis and executive risk visibility. The review identifies four implementation layers: data foundation, analytical intelligence, operational intervention and governance assurance. Findings show that digital twins can reduce fragmentation between design, construction and facility management; however, success depends on data quality, interoperability, cybersecurity, workforce capability, procurement discipline and ethical use of automation. For Saudi mega projects, the strongest value is expected in MEP-intensive assets where energy, cooling, lifts, water systems, fire safety, indoor environmental quality and equipment availability directly affect public value. The paper proposes a practical roadmap for staged adoption, beginning with priority assets and moving toward portfolio-level digital twin governance. It concludes that digital twins should be treated as socio-technical operating systems for smart buildings, not merely 3D visual models.
Saudi Arabia’s Vision 2030 infrastructure portfolio requires buildings that can be designed, commissioned and operated as high-performing digital assets rather than static civil works. Mechanical, electrical and plumbing systems are central to this requirement because they determine energy demand, indoor environmental quality, water security, fire safety, maintainability and operational cost. This review develops a smart building management systems framework for enhancing MEP performance in Saudi infrastructure projects by synthesising literature published between 2020 and 2025 on building management systems, BIM, IoT, digital twins, energy management, facility management, interoperability and Saudi sustainability policy. The study follows a structured narrative review methodology supported by thematic coding and framework synthesis. The proposed model links BIM-based asset information, sensor networks, building automation, analytics dashboards, commissioning feedback and facility management workflows into a lifecycle performance loop. Findings indicate that the main value of smart building management is not isolated automation, but the integration of design intent, real-time data and operational governance. The review identifies six performance domains: energy and carbon reduction, HVAC stability, electrical load optimisation, water and pumping control, fire and life-safety readiness, and maintainable handover data. It concludes that Vision 2030 projects can improve long-term MEP outcomes when smart building systems are specified early, connected to open information standards, governed through measurable KPIs and embedded into owner-led facility management routines. The paper contributes a Saudi-oriented review framework, two visual models and practical KPI tables for researchers, consultants and infrastructure owners.
Saudi Arabia's giga-projects are expanding the scale, density, and technical complexity of building services systems. High-rise districts, hospitality destinations, airports, hospitals, cultural venues, and mixed-use communities require heating, ventilation and air-conditioning (HVAC), electrical, water, fire-safety, vertical transportation, security, and energy systems that remain reliable in harsh climatic and operational conditions. This review paper evaluates how digital monitoring and predictive maintenance can improve the operational performance of building services systems in Saudi mega projects. Following a review-paper structure inspired by recent Springer-style construction technology studies, the article synthesizes 2020-2025 literature on Building Information Modelling (BIM), Internet of Things (IoT), building management systems (BMS), digital twins, automated fault detection and diagnostics (AFDD), machine learning, and facility management. The study proposes a Saudi-oriented Digital Monitoring and Predictive Maintenance Framework (DMPMF) that links asset information requirements, sensor telemetry, analytics, work-order systems, and governance indicators. The review finds that the strongest value is achieved when predictive maintenance is treated not as a stand-alone algorithm, but as an information ecosystem connecting design handover, commissioning, operations, cybersecurity, workforce competence, and sustainability reporting. The paper contributes practical implementation stages, two conceptual visuals, and two synthesis tables for researchers, asset owners, consultants, and facility managers seeking Scopus/Q1-level alignment with Vision 2030 priorities.
Nayeem Ahmed Chikmagalur Muneer, S. Muthuvel· Global academic journal of e...· 0 citations
Saudi Arabia’s Vision 2030 has created one of the world’s most ambitious infrastructure delivery environments, where tourism, housing, mobility, utilities and public-realm assets must be delivered at speed while preserving quality, safety, environmental performance and long-term asset value. This review paper examines how smart construction project management can support Vision 2030 giga-projects by integrating Building Information Modeling (BIM), risk management and digital scheduling into a unified delivery governance model. The study synthesizes recent literature on BIM-enabled construction management, 4D scheduling, AI-supported schedule control, risk management in sustainable projects, contractual BIM governance, project management standards and the regenerative development agenda represented by Red Sea Global. The paper proposes an integrated framework in which BIM functions as the shared information environment, digital scheduling converts models into time-linked execution logic, risk management governs uncertainty, and project controls translate field data into leadership decisions. The review finds that the strongest value emerges when BIM, Primavera-style critical path scheduling, risk registers, HSE observations, procurement tracking, RFIs, change control and stakeholder reporting are managed as connected data streams rather than isolated administrative tools. For Saudi giga-projects, this integration can reduce design coordination gaps, improve visibility of schedule threats, support proactive risk response, enhance HSE and quality governance, and strengthen alignment with sustainability and local-content goals. The paper contributes a Vision 2030-oriented delivery model for construction leaders managing complex, multi-stakeholder infrastructure programs in Saudi Arabia and comparable rapidly developing economies.
The increasing complexity of built-asset operations, rising service costs, and persistent efficiency constraints in emerging economies have intensified the need for more intelligent approaches to facility and property management. This study critically examines how digital systems and business intelligence capabilities can improve cost control, operational visibility, asset performance, and managerial decision-making across diverse property environments. A structured narrative review was adopted, drawing on interdisciplinary literature from facility management, real estate, construction, information systems, energy management, and business analytics, with particular attention to evidence from developing and emerging-market contexts.
The review finds that integrated data platforms, building information modelling, sensor-enabled monitoring, predictive analytics, digital dashboards, and automated reporting can reduce expenditure through energy optimisation, preventive maintenance, improved space utilisation, stronger procurement control, and more accurate lifecycle planning. It further reveals that these benefits depend on reliable data, interoperable systems, workforce competence, executive sponsorship, cybersecurity, and effective governance. Major barriers include fragmented records, inadequate infrastructure, high implementation costs, limited technical skills, weak standards, resistance to organisational change, and insufficient alignment between technology investments and operational priorities.
The study concludes that sustainable value is most likely when implementation is phased, problem-led, and supported by measurable performance baselines. Organisations should prioritise high-cost areas, strengthen data governance, develop staff capability, and scale technologies only after verified results. Policymakers and professional bodies should promote common standards, digital handover protocols, cybersecurity guidance, and sector-specific training. Future research should emphasise longitudinal evaluation, comparative regional studies, and locally calibrated models capable of assessing artificial intelligence, digital twins, and cloud-based solutions under emerging-market conditions. These measures can improve resilience, accountability, service quality, and long-term value.
Ogochukwu T Izuchukwu, Dominic Feboh, Ayokunle Olamide Ijagbemi et al.· International Journal of Mul...· 0 citations
Saudi Arabia's mega infrastructure program is expanding the scale, complexity, and climatic exposure of buildings, transport hubs, healthcare cities, tourism districts, campuses, airports, and mixed-use developments. In these assets, mechanical, electrical, and plumbing systems are no longer secondary building services; they define operational carbon, lifecycle cost, indoor environmental quality, resilience, maintainability, and the ability of projects to meet Vision 2030 sustainability ambitions. This review paper synthesizes recent literature from 2020 to 2025 on energy-efficient MEP system design for large infrastructure projects in hot-arid and Gulf contexts. The study examines how high-performance HVAC, intelligent controls, BIM-enabled MEP coordination, efficient lighting, water-energy integration, renewable-ready electrical systems, commissioning, and digital twins can be combined into a lifecycle design framework. The aim is to develop a practical review-based model that links technical MEP decisions with Saudi Vision 2030 priorities, including energy efficiency, environmental stewardship, smart cities, local capability building, and resilient infrastructure delivery. The paper follows a structured literature review methodology covering peer-reviewed studies, energy standards, Saudi policy documents, and international reports. Findings show that the greatest performance gains are achieved when MEP design is treated as an integrated system rather than a collection of separate disciplines. Early-stage load reduction, climate-responsive HVAC selection, demand-controlled ventilation, high-efficiency chillers, smart lighting, heat recovery, greywater reuse, submetering, analytics-based operations, and continuous commissioning provide a coherent pathway for reducing energy intensity without compromising comfort or reliability. The review contributes a Vision 2030-aligned framework for mega project teams and identifies research gaps in climate-specific benchmarking, digital twin verification, water-energy optimization, and procurement models that reward lifecycle performance.
Nayeem Ahmed Chikmagalur Muneer· Veredas do Direito· 0 citations
Saudi Arabia’s Vision 2030 infrastructure transformation requires project quality management systems (PQMS) that do more than control defects at inspection points. Mega projects must deliver compliant assets while reducing rework, material waste, delay, environmental impact and handover risk. This review paper examines how continuous improvement and sustainability can be integrated into PQMS for mega infrastructure projects in Saudi Arabia. It positions quality management as a strategic governance function that links ISO 9001-based process control, risk-based quality planning, inspection and test plans, non-conformance management, supplier quality assurance, digital traceability, corrective and preventive action, and management review with sustainability objectives such as resource efficiency, waste reduction, lifecycle value and responsible procurement. The study adopts a structured narrative review of recent literature on quality management systems, sustainable construction, Lean construction, Quality 4.0, project governance and Saudi Vision 2030 infrastructure delivery. It proposes a sustainability-integrated PQMS framework and an implementation roadmap tailored to roads, airports, tunnels, bridges, utilities and high-profile giga-project environments. The paper argues that continuous improvement tools, including PDCA, root-cause analysis, Kaizen, Six Sigma, NCR trend analysis and lessons-learned loops, can convert quality records into sustainability outcomes when they are embedded in project governance and supported by measurable KPIs. The expected contribution is a practical model for client, PMC, consultant, contractor and supplier organisations seeking to align quality excellence with sustainable infrastructure delivery. The framework supports reduced NCR recurrence, lower rework, stronger compliance, better supplier performance, improved handover readiness and enhanced long-term asset value under Saudi Vision 2030.
Ziyad Adil Khan· Global academic journal of e...· 0 citations