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大数据背景下质量管理的数据特征

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大数据时代已经到来,大数据时代的数据纷乱繁多,呈现出爆炸式增长态势.面对错综复杂的数据,如何对数据进行分类、分析和管理,如何运用质量管理的知识从海量的数据里面找出规律,结合经验发现、解释甚至预测生产中的问题,是值得研究的课题.因此,对大数据背景下质量管理的数据特征进行了研究.首先,介绍了质量管理的发展历程和现状;然后,阐述了大数据时代质量管理面临的机遇和挑战;最后,针对存在的问题,提出了相应的应对措施,对于提升大数据时代质量管理水平具有重要的意义.
Data Characteristics of Quality Management in the Context of Big Data
The era of big data has arrived,and the data of big data era is chaotic and numerous,and shows an ex-plosive growth trend.In the face of complex data,how to classify,analyze and manage the data,how to use the knowledge of quality management to find out the rules from massive data,and how to explain,discover and even predict the problems in production combined with experience are worthy of study.Therefore,the data characteristics of quality management under the background of big data are studied.Firstly,the development course and present sit-uation of quality management are introduced.Secondly,the opportunities and challenges of quality management in the era of big data are expounded.Finally,in view of the existing problems,the corresponding countermeasures are put forward,which has important significance for improving the quality management level in the era of big data.

big dataquality managementdata structuredata characteristics

刘辉

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中国石化集团金陵石油化工有限责任公司烷基苯厂, 江苏 南京 210046

大数据 质量管理 数据结构 数据特征

2024

电子质量
中国电子质量管理协会 信产部五所

电子质量

影响因子:0.146
ISSN:1003-0107
年,卷(期):2024.(2)
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