Algorithm for optimizing repetitive tasks in production process execution mechanisms
DOI:
https://doi.org/10.5281/zenodo.15423923Keywords:
production process, repetitive tasks, algorithm, automation, optimization, efficiency, digital control.Abstract
This paper analyzes algorithmic approaches aimed at automating and optimizing repetitive
tasks within production processes. It explores the potential for time and resource savings through
algorithms designed to improve the efficiency of repeated operations. The implementation stages,
technical requirements, and integration level of such algorithms in production mechanisms are
assessed. The proposed model and experimental results offer a scientific framework for applying
digital control methods to repetitive production workflows.
References
On the Strategy of Actions for the Further Development of the Republic of Uzbekistan. – T.:
February 7–2017, Decree No. PF-4947.
Yusupbekov N.R., Mukhiddinov D.P. Fundamentals of Modeling and Optimization of Technological
Processes. – T.: Science and Technology, 2018. – 440 p.
Yusupbekov N.R., Mukhamedov B.I. Control and Automation of Technological Processes.
Textbook. – T.: 2017. – 576 p.
Yusupbekov A.N., Esonov H.M. Practical Importance of Automation and Control Systems
Sciences. – T.: Article in International Conference “Prospects of Geology, Mining and Metallurgy
and Oil and Gas Sectors in the South of the Republic”.
Esonov H.M. Improving the Efficiency of Executive Mechanisms of Intellectual Control Systems.
Monograph. – T.: Termiz Publishing Center, 2024. – 160 p.
David E. Goldberg. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-
Wesley, 1989.
Muhammad Reza Bonyadi, Zbigniew Michalewicz. A Survey on Multi-Modal Optimization
Algorithms. ACM Computing Surveys, 2017.
Richard S. Sutton, Andrew G. Barto. Reinforcement Learning: An Introduction. MIT Press, 2018.
W. Bolwijn, T. Kumpe. Manufacturing in the 1990s – Productivity, Flexibility and Innovation. Long
Range Planning, 1990.
Stuart Russell, Peter Norvig. Artificial Intelligence: A Modern Approach. Pearson, 2016.
John Deere. Automation and Robotics in Industrial Production. Springer, 2020.
Thomas H. Davenport, Jeanne G. Harris. Competing on Analytics: The New Science of Winning.
Harvard Business Review Press, 2007.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 MUHANDISLIK VA IQTISODIYOT

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