JIEAS OPEN ACCESS

Journal of Industrial Engineering and Applied Science

ISSN:3005-608X (print) | ISSN:3005-6071 (online) | Publication Frequency: Bimonthly

OPEN ACCESS|Research Article||4 February 2026

Construction of an Intelligent Quality and Operations Control System for Industrial Electrical Enterprises Driven by Dual Standards ISO 14001 and ISO 9001

* Corresponding Author1: Wusheng Gao, E-Mail: wushengao99@outlook.com

Publication

Accepted 2025 December 29 ; Published 2026 February 4

Journal of Industrial Engineering and Applied Science, 2026, 4(1), 3005-6071.

Abstract

This paper focuses on the development of intelligent quality and operational control systems for industrial electrical appliance companies, examining whether these systems integrate ISO 14001 (Environmental Management System) and ISO 9001 (Quality Management System) standards. By utilizing these standards, the paper elucidates how the dual-standard framework can improve overall enterprise operational efficiency, quality control, and environmental sustainability. Furthermore, the proposed algorithm combines traditional management strategies with new technologies such as Artificial Intelligence (AI), the Internet of Things(IoT), and big data to demonstrate that the system can reduce operating costs, improve product quality, and control effectiveness, ultimately achieving effective and long-term sustainable development for the enterprise.

Keywords

ISO 9001 / ISO 14001 Integration , Intelligent Quality Management Systems , Industrial IoT (IIoT) and Big Data Analytics , AI-Driven Operational Control .

Metadata

Pages: 1-7

References: 28

Disciplines: Automation Technology

Subjects: Industrial Automation

Cite This Article

APA Style

Gao, W. (2026). Construction of an intelligent quality and operations control system for industrial electrical enterprises driven by dual standards iso 14001 and iso 9001. Journal of Industrial Engineering and Applied Science, 4(1), 1-7. https://doi.org/10.70393/6a69656173.333636

Acknowledgments

The authors thank the editor and anonymous reviewers for their helpful comments and valuable suggestions.

FUNDING

Not applicable.

INSTITUTIONAL REVIEW BOARD STATEMENT

Not applicable.

DATA AVAILABILITY STATEMENT

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

INFORMED CONSENT STATEMENT

Not applicable.

CONFLICT OF INTEREST

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

AUTHOR CONTRIBUTIONS

Not applicable.

References

1.
Boyes, H., Hallaq, B., Cunningham, J., & Watson, T. (2018). The industrial internet of things (IIoT): An analysis framework. Computers in industry, 101, 1-12.

2.
Milhaupt, C. J., & Pargendler, M. (2017). Governance Challenges of Listed State-Owned Enterprises Around the World: National Experiences and a Framework for Reform. Cornell Int'l LJ, 50, 473.

3.
Tarí, J. J., Molina-Azorín, J. F., & Heras, I. (2012). Benefits of the ISO 9001 and ISO 14001 standards: A literature review. Journal of Industrial Engineering and Management (JIEM), 5(2), 297-322.

4.
Yang, J., Wu, Y., Yuan, Y., Xue, H., Bourouis, S., Abdel-Salam, M., ... & Por, L. Y. (2025). Llm-ae-mp: Web attack detection using a large language model with autoencoder and multilayer perceptron. Expert Systems with Applications, 274, 126982.

5.
Yuan, Y., & Xue, H. (2025). Cross-Media Data Fusion and Intelligent Analytics Framework for Comprehensive Information Extraction and Value Mining.

6.
Sha, F., Meng, J., Zheng, X., & Jiang, Y. (2025). Sustainability Under Fire: How China-US Tensions Impact Corporate ESG Performance? Finance Research Letters, 107882.

7.
Heras‐Saizarbitoria, I., & Boiral, O. (2013). ISO 9001 and ISO 14001: towards a research agenda on management system standards. International journal of management reviews, 15(1), 47-65.

8.
Yuan, Y., & Xue, H. (2025, January). Multimodal Information Integration and Retrieval Framework Based on Graph Neural Networks. In Proceedings of the 2025 4th International Conference on Big Data, Information and Computer Network(pp. 135-139).

9.
Fahmi, K., Mustofa, A., Rochmad, I., Sulastri, E., Wahyuni, I. S., & Irwansyah, I. (2021). Effect of ISO 9001: 2015, ISO 14001: 2015 and ISO 45001: 2018 on operational performance of automotive industries. Journal of Industrial Engineering & Management Research, 2(1), 13-25.

10.
Li, Z., Ji, Q., Ling, X., & Liu, Q. (2025). A comprehensive review of multi-agent reinforcement learning in video games. IEEE Transactions on Games.

11.
Zhang, Z., Wang, J., Li, Z., Wang, Y., & Zheng, J. (2025). Anncoder: A mti-agent-based code generation and optimization model. Symmetry, 17(7), 1087.

12.
Da Fonseca, L. M. C. M. (2015). ISO 14001: 2015: An improved tool for sustainability. Journal of Industrial Engineering and Management, 8(1), 37-50.

13.
Lu, J., Zhao, H., Zhai, H., Yang, X., & Han, S. (2025, June). DeepSPG: Exploring Deep Semantic Prior Guidance for Low-light Image Enhancement with Multimodal Learning. In Proceedings of the 2025 International Conference on Multimedia Retrieval (pp. 935-943).

14.
Cenci, M. P., Scarazzato, T., Munchen, D. D., Dartora, P. C., Veit, H. M., Bernardes, A. M., & Dias, P. R. (2022). Eco‐friendly electronics—a comprehensive review. Advanced Materials Technologies, 7(2), 2001263.

15.
Mudholkar, P., & Mudholkar, M. (2018). Internet of things (iot) and big data: A review. International Journal of Management, Technology And Engineering, 8(12), 5001-5007.

16.
Yang, J., Hu, R., Wu, C., Jiang, G., Alkanhel, R. I., & Elmannai, H. (2024). Sensor-Infused Emperor Penguin Optimized Deep Maxout Network for Paralyzed Person Monitoring. IEEE Sensors Journal, 25(13), 25638-25646.

17.
Ageed, Z. S., Zeebaree, S. R., Sadeeq, M. A., Abdulrazzaq, M. B., Salim, B. W., Salih, A. A., ... & Ahmed, A. M. (2021). A state of art survey for intelligent energy monitoring systems. Asian journal of research in computer science, 8(1), 46-61.

18.
Hu, R., Jian, X., Wang, J., & Zhao, H. (2025, July). Construction of a prediction model for rehabilitation training effect based on machine learning. In Proceedings of the 2025 2nd International Conference on Image Processing, Intelligent Control and Computer Engineering (pp. 41-45).

19.
Tan, C. (2024). The Application and Development Trends of Artificial Intelligence Technology in Automotive Production. Artificial Intelligence Technology Research, 2(5).

20.
Deng, X. (2025, March). Cooperative Optimization Strategies for Data Collection and Machine Learning in Large-Scale Distributed Systems. In 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT)(pp. 2151-2154). IEEE.

21.
Sha, F., Ding, C., Zheng, X., Wang, J., & Tao, Y. (2025). Weathering the Policy Storm: How Trade Uncertainty Shapes Firm Financial Performance through Innovation and Operations. International Review of Economics & Finance, 104274.

22.
De Oliveira Matias, J. C., & Coelho, D. A. (2002). The integration of the standards systems of quality management, environmental management and occupational health and safety management. International journal of production research, 40(15), 3857-3866.

23.
Shaikh, P. H., Nor, N. B. M., Nallagownden, P., Elamvazuthi, I., & Ibrahim, T. (2014). A review on optimized control systems for building energy and comfort management of smart sustainable buildings. Renewable and Sustainable Energy Reviews, 34, 409-429.

24.
Tan, C., Gao, F., Song, C., Xu, M., Li, Y., & Ma, H. (2024). Proposed Damage Detection and Isolation from Limited Experimental Data Based on a Deep Transfer Learning and an Ensemble Learning Classifier.

25.
Zhuang, R. (2025). Evolutionary Logic and Theoretical Construction of Real Estate Marketing Strategies under Digital Transformation. Economics and Management Innovation, 2(2), 117-124.

26.
Deng, X., & Yang, J. (2025, August). Multi-Layer Defense Strategies and Privacy Preserving Enhancements for Membership Reasoning Attacks in a Federated Learning Framework. In 2025 5th International Conference on Computer Science and Blockchain (CCSB) (pp. 278-282). IEEE.

27.
Gonzalez, J., Tran, V., Meredith, J., Xu, I., Penchala, R., Vilar-Ribó, L., ... & Sanchez-Roige, S. (2025). How it begins: Initial response to opioids strongly predicts self-reported opioid use disorder. medRxiv, 2025-03.

28.
Hu, R., Jian, X., Zhao, H., & Wang, J. (2025). Design and Realization of Computer Vision-Assisted Human Rehabilitation Training System.

PUBLISHER'S NOTE

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

cc Copyright © 2025 The Author(s). Published by Southern United Academy of Sciences.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
t