A Risk-Based Precision Measurement and Inspection Framework for Quality Assurance in Saudi Industrial Manufacturing

Abstract

The increasing reliance on the ability to accurately decide where, when, and how to measure in industrial manufacturing, rather than on a indiscriminate expansion of inspection, is highlighted in this review. By drawing on evidence from the field of metrology, Quality 4.0, zero-defect manufacturing, automated visual inspection, digital twins, and risk-based inspection, a risk-based framework for precision measurement and inspection in Saudi industrial manufacturing is developed. The synthesis argues for linking three decision levels—product and process criticality, measurement capability and uncertainty, and inspection evidence with closed-loop corrective action. However, recent literature shows that the benefits of advanced sensing, on-machine measurement, machine vision, and data-driven prediction depend on metrological traceability, validated measurement systems, controlled decision rules, data integrity, and qualified quality staff. Studies carried out in Saudi Arabia also point out that organizational readiness, investment limitations, system integration, and capability building influence the adoption of Industry 4.0. The framework in question bases inspection intensity on consequence and detectability, ties acceptance decisions to uncertainty, and sees digital technologies as a way of producing evidence rather than as a replacement for metrological control. It also suggests that governance should be achieved through the use of risk registers, critical-to-quality characteristics, measurement system analysis, traceability records, escalation rules, and regular reviews. This method could allow for local manufacturing within the framework of Vision 2030 by allocating quality resources to the failure modes that have the greatest operational, safety, reliability, and reputational consequences, while at the same time making conformity decisions that are defensible. The research priorities are sector-specific validation in Saudi Arabia, the economic optimisation of inspection efforts, trustworthy artificial intelligence, interoperable digital calibration records, and long-term evidence on quality performance.