摘要
针对企业规模传统的速度型粗放增长所造成的管理方式问题,本文引入大数据技术,分析当前质量控制管理所存在的问题,提出基于大数据的质量控制管理理念,并从准备阶段、施工阶段以及竣工阶段三个层面探讨其在质量控制管理方面的应用流程,在推进质量控制管理向智能化、精细化发展的同时,进一步提升质量控制管理的效果.
To solve the management problem caused by traditional scale speed generality growth,the big data technique is introduced in this paper.The current issue of quality control management is analyzed firstly,and the idea of quality control management based on big data is presented.Finally,the application progress in the quality control management is discussed containing preparing stage,applying stage and finishing stage.The purpose is to promote the intelligent and detailed quality control management and improve the real effect at mean time.
作者
冯亚海
FENG Ya-hai(Quality Supervision Station of Construction Project in Delingha City, Delingha 817000,China)
出处
《青海师范大学学报（自然科学版）》
2018年第4期57-60,共4页
Journal of Qinghai Normal University(Natural Science Edition)
关键词
质量控制管理
大数据
数据融合
quality control management
big data
data fusion
