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Title | Optimal management in the operation of complex technical systems |
Authors |
Diadiura, Kostiantyn Oleksandrovych
Oborskyi, G. Prokopovych, I. Khamitov, V. Holubiev, M. |
ORCID |
http://orcid.org/0000-0002-7575-9711 |
Keywords |
standardization quality assurance optimum tolerance design industrial growth quality control reliability indicator product lifecycle management |
Type | Article |
Date of Issue | 2024 |
URI | https://essuir.sumdu.edu.ua/handle/123456789/95118 |
Publisher | Sumy State University |
License | Creative Commons Attribution - NonCommercial 4.0 International |
Citation | Dyadyura K., Oborskyi G., Prokopovych I., Khamitov V., Holubiev M. (2024). Optimal management in the operation of complex technical systems. Journal of Engineering Sciences (Ukraine), Vol. 11(1), pp. B1–B9. https://doi.org/10.21272/jes.2024.11(1).b1 |
Abstract |
Developing a cost management system for a complex technical system (CTS) at the stages of its life cycle
is a modern trend aimed at creating sustainable cooperation ties based on requirements, including those of
manufacturers and consumers. The article explores the concept of a complex technical system. The principles and
properties of a complex technical system were described. A model of a procedure for checking the operability of a
complex technical system with an arbitrary distribution of the time of independent manifestation of a failure was
proposed for the example of compressor station equipment. Models of operation of complex technical systems based
on information about their state were considered. It was also shown how to optimize maintenance decisions for these
systems in terms of the minimum average unit cost and how reliable this ensures. Additionally, proof of the existence
of an optimal verification strategy was given. An algorithm for determining the moments of verification was developed
to ensure the minimum cost. The methods of collecting, processing, and effectively using information for making
decisions about the technical condition of complex products and the possibility of further exploitation were improved
based on selecting informative diagnostic features and constructing models that comprehensively consider the
maximum and current level of their parameters. This allowed for the quality of the final products to be ensured. The
practical use of the proposed methods of diagnosis and forecasting made it possible to increase the actual CTS resource
by 1.5–2.0 times. This also increased the productivity of the technological process by 1.6 times due to the reduction of
the number of stops for maintenance for replacement, adjustments, and sub-adjustments. As a result, the value of the
lack of basic production was reduced from 1.2 % to 0.8 %, and the cost of manufacturing products was decreased by
1.2–2.0 times. |
Appears in Collections: |
Journal of Engineering Sciences / Журнал інженерних наук |
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Dyadyura_jes_1_2024.pdf | 714.14 kB | Adobe PDF | 1331 |
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