Optimal Management in the Operation of Complex Technical Systems

Author(s): Dyadyura K.1, Oborskyi G.1, Prokopovych I.1, Khamitov V.1, Holubiev M.2

Affiliation(s):
1 Odesа Polytechnic National University, 1, Shevchenka Ave., 65044 Odesa, Ukraine;
2 National University of Life and Environmental Science of Ukraine, 15, Heroiv Oborony St., 03041 Kyiv, Ukraine

*Corresponding Author’s Address: [email protected]

Issue: Volume 11, Issue 1 (2024)

Dates:
Submitted: November 29, 2023
Received in revised form: March 25, 2024
Accepted for publication: April 7, 2024
Available online: April 10, 2024

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

DOI: 10.21272/jes.2024.11(1).b1

Research Area:  Technical Regulations and Metrological Support

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.

Keywords: standardization, quality assurance, optimum tolerance design, industrial growth, quality control, reliability indicator, product lifecycle management.

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