OPTIMIZATION OF TECHNOLOGICAL PROCESSES BASED ON DIGITAL TECHNOLOGIES

Authors

  • Khankeldiyeva Zebinisa Khabibovna Teacher, Bukhara state technical university

DOI:

https://doi.org/10.55640/

Keywords:

Technological process optimization, digital technologies, industrial automation, data analytics, IoT, predictive maintenance, process efficiency, smart manufacturing.

Abstract

The optimization of technological processes through digital technologies has become a pivotal approach in enhancing industrial efficiency, reducing operational costs, and improving product quality. By integrating advanced digital tools such as IoT platforms, data analytics, machine learning, and automated control systems, enterprises can monitor, analyze, and optimize processes in real time. Digital technologies enable predictive maintenance, resource management, and process standardization, which minimize errors and downtime while increasing overall productivity. This study examines the role of digital solutions in streamlining manufacturing workflows, enhancing decision-making capabilities, and supporting sustainable industrial growth, highlighting the practical applications and benefits of technology-driven process optimization.

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References

1.Smith, J., & Johnson, L. (2020). IoT and Automation for Industrial Process Optimization. New York: Industrial Press.

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6.Patel, R., & Wang, L. (2021). Big Data Analytics for Smart Manufacturing and Process Optimization. International Journal of Industrial Automation, 12(2), 55–72.

7.Li, X., & Roberts, J. (2022). Cloud-Based Platforms and Digital Technologies in Industry 4.0. Journal of Automation and Smart Manufacturing, 18(3), 145–162.

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Published

2025-10-30

Issue

Vol. 4 No. 9 (2025): Journal of Multidisciplinary Sciences and Innovations

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain the copyright of their manuscripts, and all Open Access articles are disseminated under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which licenses unrestricted use, distribution, and reproduction in any medium, provided that the original work is appropriately cited. The use of general descriptive names, trade names, trademarks, and so forth in this publication, even if not specifically identified, does not imply that these names are not protected by the relevant laws and regulations.

How to Cite

OPTIMIZATION OF TECHNOLOGICAL PROCESSES BASED ON DIGITAL TECHNOLOGIES. (2025). Journal of Multidisciplinary Sciences and Innovations, 4(9), 1480-1484. https://doi.org/10.55640/

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