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近年来,三聚氰胺、毒胶囊等质量安全事件频发,质量,关乎国计民生,现有质量监管模式虽有一定的成效,但无法完全避免质量安全事件的发生。“大数据”具有Volume(大量)、Velocity(高速)、Variety(多样)、Value(价值)的特点,在现代社会被广泛应用。利用大数据提高企业经营管理水平、提高经济效益已经被证明是成功的、有效的,但是,利用大数据强化监管部门对产品质量的监督和管理还在摸索阶段,本文阐述了大数据在质量监管中应用的现状、存在的困难,并对大数据质量未来的发展方向进行了思考。
In recent years, frequent quality and safety incidents such as melamine and poison capsules have been related to the national economy and the people’s livelihood. Although the existing quality control mode has achieved some success, it can not completely avoid the occurrence of quality and safety incidents. “Big Data ” has the characteristics of Volume, Velocity, Variety and Value and is widely used in modern society. However, the use of big data to strengthen supervision and management of product quality supervision and management is still groping stage, this article describes the big data in the quality supervision and management of the use of big data to improve business management and improve economic efficiency has been proved to be successful and effective. However, In the application of the status quo, the existing difficulties, and the future development of big data quality thinking.