Optimal Management in the Operation of Complex Technical Systems

Author:

Dyadyura Kostiantyn1ORCID,Oborskyi Gennadiy2ORCID,Prokopovych Ihor2ORCID,Khamitov Vitalii2ORCID,Holubiev Mykhailo3ORCID

Affiliation:

1. Odesa Polytechnic National University, Odesa, Ukraine

2. Odesа Polytechnic National University, Odesa, Ukraine

3. National University of Life and Environmental Science of Ukraine, Kyiv, Ukraine

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.

Publisher

Sumy State University

Reference34 articles.

1. Raja Santhi, A., Muthuswamy, P. (2023). Industry 5.0 or Industry 4.0S? Introduction to Industry 4.0 and a peek into the prospective Industry 5.0 technologies. International Journal on Interactive Design and Manufacturing, Vol. 17, pp. 947–979. https://doi.org/10.1007/s12008-023-01217-8

2. Perperi, L., Oborskyi, G., Goloborodko, G., Gugnin, V., Prokopovych, O. (2023). Modernization of the internal audit process using a risk-based approach at an industrial enterprise. In: Tonkonogyi, V., Ivanov, V., Trojanowska, J., Oborskyi, G., Pavlenko, I. (eds) Advanced Manufacturing Processes IV. InterPartner 2022. Lecture Notes in Mechanical Engineering, pp. 360–369. Springer, Cham. https://doi.org/10.1007/978-3-031-16651-8_34

3. Hallmann, M., Schleich, B., Wartzack, S. (2020). From tolerance allocation to tolerance-cost optimization: A comprehensive literature review. The International Journal of Advanced Manufacturing Technology, Vol. 107, pp. 4859–4912. https://doi.org/10.1007/s00170-020-05254-5

4. Oborsky H. O. (2006). Scientific Basis of Ensuring Parametric Reliability and Dynamic Quality of Technological Systems of Precision Processing. DSc. thesis. Institute of Superhard Materials, National Academy of Sciences of Ukraine, Kyiv, Ukraine.

5. Prokopovych, I. V., Kokhanov, A. B., Khamitov, V. M., Tikhenko, V. M., Dašić, P. (2023). Standardizing life cycle organization: A synergetic quality management approach. Journal of Engineering Sciences (Ukraine), Vol. 10(1), pp. B1–B7. https://doi.org/10.21272/jes.2023.10(1).b1

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