Digital Transformation of Aviation Fuel Inspection and Calibration Systems in Saudi Arabia

Digital transformation is having a significant effect on quality assurance within safety-critical infrastructure, but at the moment, aviation-fuel inspection and calibration still rely in part on paper records, separate laboratory systems, periodic verification, and manual transcription. This study looks at how digital metrology, machine-readable calibration records, connected sensing, Quality 4.0 methods, and technologies for controlling aviation fuel quality can be combined to create a consistent assurance model for airports in Saudi Arabia. To carry out the review, publications from 2020 to 2025 were found using Google Scholar and other publisher sources in the areas of metrology, quality engineering, aviation fuel, sensor monitoring, and Saudi transport policy. Thirty important publications and official strategy documents were chosen for thematic analysis. The results show that digital calibration certificates are able to enhance traceability and reduce the risk of transcription errors; interoperable service architectures are capable of linking specialised laboratories without the need to change the current work processes; and continuous sensing can augment rather than replace laboratory verification of fuel characteristics and contamination. The research on aviation fuel also shows that water, particulate matter, microorganisms, thermal instability, and handling errors remain the primary quality hazards. For Saudi Arabia, the rapid expansion of aviation as a result of the Vision 2030 initiative makes it especially important to have a consistent multi-airport assurance system, reliable measurement data, audit-ready records, and faster decisions about the release of equipment. The review proposes a five-layer digital inspection and calibration framework that links field instruments, laboratory testing, metrological traceability, rules-based compliance, and decision analytics. The paper concludes that digital transformation should be viewed as a redesign of the assurance system rather than merely as a software purchase. Priority should be given first to data governance, calibration traceability, cybersecurity, interoperable standards, competence, and staged validation before introducing predictive or automated decisions into operational aviation-fuel systems.