Journal of Engineering Research

Big data analysis is reshaping the management model of quality inspection data, promoting the evolution of quality management towards intelligence and systematization. By integrating multi-source heterogeneous data and conducting in-depth mining, it enables precise identification and dynamic control of quality issues, improving testing efficiency and decision-making capabilities. Key industries have built unified data platforms and optimized data analysis processes to strengthen end-to-end quality traceability and early warning capabilities. Practical applications have demonstrated the significant effectiveness of data management optimization in enhancing product quality stability, reducing defect rates, and strengthening cross-departmental collaboration, providing solid support for the transformation and upgrading of the manufacturing industry.

Big data analysis; Quality inspection; Data management; Intelligent decision-making; Quality management