Lipetsk State Technical University, Lipetsk, Russia

A. V. Galkin, Cand. Eng., Associate Prof., Dean of the Faculty of Automation and Informatics, e-mail: galkin_av@stu.lipetsk.ru
A. A. Kharitonenko, Cand. Phys.-Math., Associate Prof., Dept. of Metallurgical Equipment, e-mail: aax.in@mail.ru

Center for Corporate Solutions Ltd., Lipetsk, Russia
L. S. Chernyshova, Specialist of the Procurement Contract Management Dept., e-mail: Lidok221196@yandex.ru

Lipetsk State Technical University, Lipetsk, Russia¹ ; Novolipetsk Metallurgical Plant, Lipetsk, Russia²
A. V. Bocharov, Cand. Eng., Specialist of the Dept. of Personnel Training and Development², Associate Prof., Dept. of Metallurgical Equipment¹, e-mail: alor_fr@mail.ru

A wide range and variety of different equipment are used to implement technological processes of metallurgical production. The costs of maintenance and repairs of metallurgical equipment contribute a significant component to the cost of production. Therefore, reducing such costs through the use of optimal maintenance plans can lead to an increase in the competitiveness of manufactured products. The paper considers an approach to the construction of optimal service plans for multicomponent devices on the example of a strapping machine used in the technological process of cold rolling for packaging a rolled strip. The components of the strapping machine for maintenance are highlighted. Simulation modeling of the functioning of the strapping machine in the process of operation is carried out. The proposed algorithm is based on minimizing costs, the function of which is built taking into account the reliability characteristics of each of the device components. When the process is discretized in time, the dynamic programming method can be used to solve the problem. The description of the developed software implementing the algorithm for constructing optimal service plans is given. The costs are calculated for different strategies of equipment maintenance. The strategy based on the planning algorithm proposed in the article had the lowest costs of all considered.

1. Polovko A. M., Gurov S. V. Fundamentals of reliability theory. 2^nd edition, revised. St. Petersburg : BKhV-Peterburg, 2006. 704 p.
2. Buslenko N. P., Kalashnikov V. V., Kovalenko I. N. Lectures on the theory of complex systems. Moscow : Sov. radio, 1973. 439 p.
3. Glazunov L. P., Grabovetsky V. P., Shcherbakov O. V. Fundamentals of the theory of reliability of automatic control systems. Leningrad : Energoatomizdat, 1984. 208 p.
4. Korolyuk V. S., Turbin A. F. Semi-Markov processes and their applications. Kiev : Naukova dumka, 1976. 182 p.
5. Akopov A. S. Simulation modeling : textbook and workshop for universities. Moscow : Izdatelstvo Yurayt, 2023. 389 p.
6. Navarro J. Introduction to System Reliability Theory. Cham : Springer, 2022. 174 p.
7. Severtsev N. A. Theory of reliability of complex systems in development and operation: textbook for universities. 2^nd edition revised and additional. Moscow : Izdatelstvo Yurayt, 2023. 473 p.
8. Dong M., Nassif A. Combining modified weibull distribution models for power system reliability forecast. IEEE Transactions on Power Systems. 2019. Vol. 34. pp. 1610–1619.
9. Beniacoub F., Ntwari F., Niyonkuru J. P. et al. Evaluating a computerized maintenance management system in a low resource setting. Health and Technology. 2021. Vol. 11. pp. 655–661.
10. Shankar L., Singh C. D., Singh R. Impact of implementation of CMMS for enhancing the performance of manufacturing industries. International Journal of System Assurance Engineering and Management. 2023. Vol. 14. pp. 1599–1620.
11. Markin I. N. Strategies for operation and organization of a system for maintenance and repair of complex technical systems. Nauka i tekhnika transporta. 2016. No. 3. pp. 53–55.
12. Viktorova V. S., Stepanyants A. S. Analysis of reliability and efficiency of multi-level technical systems. Moscow : LENAND, 2020. 168 p.
13. Galkin A., Chernysheva L. Optimizing maintenance plans of multi-component devices. 2^nd International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). Lipetsk, Russia, 2020. pp. 275–278.
14. Chernyshova L. S., Galkin A. V. Optimization of a maintenance plan for a multi-component technical facility. Management of large systems: Proceedings of the XVI All-Russian School-Conference of Young Scientists, Tambov, September 10–13, 2019. 2019. pp. 35–39.
15. Bellman R. E., Dreyfus S. E. Applied dynamic programming. Translated from English. Edited by А. А. Pervozvanskiy. Moscow : Nauka, 1965. 458 p.
16. Zhiltsov A. P., Vishnevsky D. A., Kozachishen V. A., Bocharov A. V. Development of the algorithm and computer program for calculating the equipment reliability and production risk in the metallurgical industry. Chernye Metally. 2018. No. 11. pp. 27–33.
17. Ledovskikh D. N., Konovalov O. A., Prokhorsky R. A. et al. Software package for optimizing the maintenance of complex technical systems. Certificate of state registration of a computer program No. 2020617598 Russian Federation. Applied: 14.05.2020. Published: 08.07.2020.
18. Manuals library: The ultimate manuals library. Available at: https://www.manualslib.com/manual/2121249/Fromm-P331-M.html (accessed: 24.11.2023).