Актуальные проблемы в машиностроении. Том 10. № 1-2. 2023 Инновационные технологии в машиностроении ____________________________________________________________________ 27 19. Lobanov D.V, Rafanova O.S. Methodology for criteria analysis of multivariant system // Obrabotka metallov – Metal Working and Material Science. – 2023. – Vol. 25, iss. 1. – P. 85–97. – DOI: 10.17212/1994-6309-2023-25.1- 85-97. (In Russian). 20. Янюшкин А.С., Рычков Д.А., Лобанов Д.В. Повышение эффективности производства за счет автоматизации подготовки режущего инструмента // Наукоемкие технологии в машиностроении. – 2015. – № 4 (46). – С. 25–30. SEQUENCE AND CRITERIA FOR CHOOSING THE OPTIMAL VARIANT OF THE PRODUCTION SYSTEM Lobanov D.V., D.Sc. (Engineering), Professor, e-mail: lobanovdv@list.ru Rafanova O.S., Post-graduate Student, e-mail: olesya-karamaeva89@mail.ru I.N. Ulianov Chuvash State University, 15 Moskovsky Prospekt, Cheboksary, 428015, Russian Federation Abstract The rapid development of engineering and technologies often creates a wide range of situations, in which risks are created for the entire activity of the enterprise. It is in modern market conditions that an efficiently selected and created production system is needed, which will allow to survive in the face of fierce competition and ensure profitability. For such situations, it is necessary to have a model that has the ability to take into account such risks for a prompt response. This problem can be solved through the use of automation tools based on the use of information processing technology. The purpose of the study is to analyze the characteristics of the production systems of an industrial enterprise, as well as the stages of its development for the subsequent application of multi-criteria analysis and the optimal choice of an effective production system as a whole. Keywords Preparation of production, production system, modeling, automation, multi-criteria analysis, comparison.
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