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面向制造型企业的数据质量管控研究

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制造型企业的数据管理能力相对较弱,是目前普遍存在的问题,而提高数据管理能力的核心在于数据质量管控.本文介绍了制造型企业数据分布的特点,分析了制造业数据质量的特性要求及管控准则,并基于数据全生命周期的角度提出了制造业数据质量管控的建议,从多方面入手建立科学、规范的数据管理流程及数据质量提升方案,保证数据的规范性、完整性、准确性和一致性等质量特性,为企业的决策和管理提供更好的支持.
Research on Data Quality Control for Manufacturing Industry
The lack of data management capabilities in manufacturing enterprises is currently a common problem,and the core to improving data management capabilities lies in data quality control.In this paper,the characteristics of data distribution in manufacturing enterprises are introduced,and the characteristic requirements and control criteria for data quality in the manufacturing industry are analyzed.We propose suggestions for data quality control in the manufacturing industry from the perspective of the entire life cycle of data,and establish a scientific and standardized data management process and data quality improvement plan from multiple aspects to ensure the quality characteristics of data such as standardization,integrity,accuracy,and consistency.The purpose of this paper is to provide better support for enterprise decision-making and management.

Manufacturing IndustryData QualityData Management

张士存、李云志、刘众博

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中车青岛四方机车车辆股份有限公司,青岛 266111

国家工业信息安全发展研究中心,北京 100040

制造业 数据质量 数据管理

2024

新型工业化

新型工业化

影响因子:1.155
ISSN:
年,卷(期):2024.14(7)