Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

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Research on Quality Management and Optimization under Digital Transformation of China's Manufacturing Industry Based on Big Data Analytics

Authors
Fu Luo1, Yingying Zhu2, *, Xueyang Li1, Liu Li1, Kexin Zhang1, Yanchun Sheng1
1School of management, Guangdong University of science and technology, Dongguan, China
2LanZhou University of Finance and Economics, Lanzhou, China
*Corresponding author. Email: 1789302392@qq.com
Corresponding Author
Yingying Zhu
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_26How to use a DOI?
Keywords
data analysis; decision tree; Support vector machine
Abstract

This paper studies how to optimize quality management using big data analysis in the process of digital transformation in the manufacturing industry of Dongguan City, China. By collecting and pre-processing equipment operation status data, product quality inspection data and work order management data, we apply data analysis methods of support vector machine (SVM) and decision tree to explore the value of these data. The empirical analysis shows that SVM can effectively predict the operating status of equipment to prevent equipment failure; decision trees reveal the important impact of production date and product model on product quality. This study provides strong theoretical and practical support for the digital transformation of manufacturing industries.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
10.2991/978-94-6463-262-0_26
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_26How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Fu Luo
AU  - Yingying Zhu
AU  - Xueyang Li
AU  - Liu Li
AU  - Kexin Zhang
AU  - Yanchun Sheng
PY  - 2023
DA  - 2023/10/09
TI  - Research on Quality Management and Optimization under Digital Transformation of China's Manufacturing Industry Based on Big Data Analytics
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 223
EP  - 229
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_26
DO  - 10.2991/978-94-6463-262-0_26
ID  - Luo2023
ER  -