T/XJBX 0115-2025 Big data-based technology guide for full-process quality traceability in production and manufacturing

Scope

Under the backdrop of the global manufacturing industry's transition to intelligent, digital, and high-quality development, product quality is not only an important manifestation of an enterprise's core competitiveness, but also a key link in safeguarding consumer rights and ensuring the sustainable development of the industry. Traditional quality traceability systems are mostly limited to localized stages, lacking integrated analysis of multi-dimensional data across the entire process, which makes it difficult to meet the demands of modern manufacturing for transparent, traceable, and verifiable quality management. The rapid development of big data technology has provided new solutions for full-process quality traceability in manufacturing. By collecting, storing, and analyzing data across the entire life cycle of raw materials, process operations, equipment operation, inspection and testing, warehousing and logistics, sales, and after-sales services, it is possible to achieve full-process traceability of product quality information. A big data-driven quality traceability system not only enables precise identification of the stages where quality issues occur, but also provides decision-making support for enterprises through pattern recognition and predictive analysis, driving the optimization and upgrading of manufacturing processes. In recent years, a series of policy documents on smart manufacturing, quality management, and data governance have been issued by the government and industry, emphasizing the use of new-generation information technologies such as big data, cloud computing, and artificial intelligence to enhance quality traceability capabilities. However, in practical applications, there are still issues such as inconsistent data standards, difficulty in cross-system sharing, non-standardized traceability analysis methods, and insufficient information security and privacy protection, which affect the effectiveness and promotion of the traceability sys

Development Information

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