制造业数字化转型中的数据质量闭环管理与实践路径——基于华实橡塑的案例分析

Closed-Loop Data Quality Management and Practical Paths in Manufacturing Digital Transformation—A Case Study Based on Huashi Rubber and Plastic

摘要: 在制造业数字化转型进程中，数据已成为核心生产要素与战略资产，数据质量直接决定转型成效。文章以数据质量管理理论为基础，剖析数字化转型给制造企业数据管理带来的数据源异构、实时性要求高、血缘复杂等挑战，构建“事前预防–事中控制–事后补救”一体化数据质量管理优化框架。以泉州市华实橡塑科技有限公司为案例，分析其数据质量痛点与系统化治理实践，验证框架的可行性与应用价值。研究表明，该体系可显著提升运营效率、降低库存成本、强化质量管控，为同类制造企业数字化转型与数据治理提供参考。

Abstract: In the process of digital transformation in the manufacturing industry, data has become a core production factor and strategic asset, and data quality directly determines the effectiveness of the transformation. Based on the theory of data quality management, this paper analyzes the challenges brought by digital transformation to manufacturing data management, such as heterogeneous data sources, high real-time requirements, and complex data lineage. It constructs an integrated data quality management optimization framework featuring “pre-prevention, in-process control, post-event remedy”. Taking Huashi Rubber and Plastic Technology Co., Ltd. in Quanzhou as a case, this study explores its data quality pain points and systematic governance practices, and verifies the feasibility and application value of the framework. The results show that the system can significantly improve operational efficiency, reduce inventory costs, and strengthen quality control, providing a reference for data governance and digital transformation of similar manufacturing enterprises.