Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)

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The Implementation Research of Data Mining Algorithms in Production Process Optimization and Management

Authors
Hongyu Li1, *, Ning Cui2
1Business Administration School, Liaoning Technical University, Huludao, 125000, Liaoning, China
2Public Administration and Law School, Liaoning Technical University, Fuxin, 123000, Liaoning, China
*Corresponding author. Email: 349359575@qq.com
Corresponding Author
Hongyu Li
Available Online 14 July 2024.
DOI
10.2991/978-94-6463-447-1_6How to use a DOI?
Keywords
Data mining; Production process optimization; Management decision-making
Abstract

In response to the demands of intelligent manufacturing, this study delves into the entire production process data of engineering machinery enterprises, constructing a data-driven model for predicting and optimizing production process quality. This model integrates support vector machines, AdaBoost, and deep learning algorithms to accurately predict process states and automatically trigger optimization decisions. One month after implementing the model, quality loss time reduced by 46%, and accident response time shortened by 55% compared to the pre-implementation period. The research validates the optimization effects of data mining algorithms in the production process and lays the foundation for building a digital twin production system. Subsequent work will continue to deepen in the direction of full-process modeling and simulation optimization.

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 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
Series
Advances in Computer Science Research
Publication Date
14 July 2024
ISBN
10.2991/978-94-6463-447-1_6
ISSN
2352-538X
DOI
10.2991/978-94-6463-447-1_6How 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  - Hongyu Li
AU  - Ning Cui
PY  - 2024
DA  - 2024/07/14
TI  - The Implementation Research of Data Mining Algorithms in Production Process Optimization and Management
BT  - Proceedings of the 2024 3rd International Conference on Engineering Management and Information Science (EMIS 2024)
PB  - Atlantis Press
SP  - 44
EP  - 53
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-447-1_6
DO  - 10.2991/978-94-6463-447-1_6
ID  - Li2024
ER  -