Application of Data Analysis Methods to Different Quality Management Roles
DOI: 10.23977/ieim.2022.050508 | Downloads: 14 | Views: 541
Author(s)
Mengxinzhi Yang 1
Affiliation(s)
1 Holy Angel University, Angelis, Philippine
Corresponding Author
Mengxinzhi YangABSTRACT
In recent years, the demand for iron and steel products in all fields of society is increasing day by day, and the requirements for product quality are getting higher and higher. In this context, iron and steel production enterprises are increasing the quality control efforts of each process of iron and steel production, and the application of data analysis in quality management. The purpose is to use data analysis tools to accurately analyze and process the data generated by each process of steel production, so as to achieve the expected purpose of improving product quality and reducing the rate of defective products. Based on this, this paper will focus on the data analysis methods used by quality operators, quality control personnel and quality designers and their specific application effects.
KEYWORDS
Iron and steel enterprises, Data analysis, Quality management role, The specific applicationCITE THIS PAPER
Mengxinzhi Yang, Application of Data Analysis Methods to Different Quality Management Roles. Industrial Engineering and Innovation Management (2022) Vol. 5: 36-40. DOI: http://dx.doi.org/10.23977/ieim.2022.050508.
REFERENCES
[1] Wang Ying, WU Xinchun. Application of data analysis method in different quality management roles [J]. Journal of wuhan metallurgical management institute, 2015,25(03):33-38.
[2] Li Bailian, Zhang Xiaolong. Online Quality Monitoring Method of Steel Reheating Furnace Based on Real-time Data Processing [J]. Computer Application, 2014(1).
[3] Zhen Jingyan, Yin Guoqiang. Intelligent data analysis system for Steel Mills [J]. China Science and Technology Review, 2015(9).
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