Original paper

UDC 622.33.004.89 © E.A. Matveeva, S.G. Simagina, M.D. Filimonov, O.N. Chernykh, P.Yu. Mironov, 2026
ISSN 0041-5790 (Print) • ISSN 2412-8333 (Online) • Ugol' – Russian Coal Journal, 2026, №2, pp. 53-56
DOI: http://dx.doi.org/10.18796/0041-5790-2026-2-53-56

TUPLE MODELING AS THE BASIS FOR CREATING A DIGITAL TWIN OF A COAL MINING MACHINE MANUFACTURING COMPANY

Authors

E.A. Matveeva¹, S.G. Simagina¹, M.D. Filimonov¹, O.N. Chernykh¹, P.Yu. Mironov¹

¹ Volga State University of Telecommunications and Informatics, Samara, 443010, Russian Federation, e-mail: o.chernyh@psuti.ru

Authors Information

Matveeva E.A. – PhD (Engineering), Associate Professor of the Department of Applied Informatics, Volga State University of Telecommunications and Informatics, Samara, 443010, Russian Federation, e-mail: o.chernyh@psuti.ru
Simagina S.G. – Doctor of Economic Sciences, Professor of the Department of Applied Informatics, Volga State University of Telecommunications and Informatics, Samara, 443010, Russian Federation
Filimonov M.D. – Postgraduate Student of the Department of Applied Informatics, Volga State University of Telecommunications and Informatics, Samara, 443010, Russian Federation
Chernykh O.N. – PhD (Economics), Associate Professor of the Department of Applied Informatics, Volga State University of Telecommunications and Informatics, Samara, 443010, Russian Federation, e-mail: o.chernyh@psuti.ru
Mironov P.Yu. – Postgraduate Student of the Department of Applied Informatics, Volga State University of Telecommunications and Informatics, Samara, 443010, Russian Federation

Abstract

The article discusses creation of a digital twin of a coal mining machine manufacturing enterprise based on tuple modeling. The analysis reveals challenges specific to machine manufacturing companies in the coal industry. It is shown that a digital twin based on a tuple model makes it possible to understand how changes in some system parameters affect other parameters. In order to create a digital twin, the company's activities are divided into the following modules: market strategy, organization of production processes, development of the management system, and economic efficiency. The article discusses the market strategy module in detail, in particular, dealing with suppliers.

Keywords

Digital twin, tuple modeling, coal mining, market strategy, decision making.

References

Машиностроение: ключевые тренды 2024 года / И.С. Лола (рук. авт. кол.), Д.Г. Асосков, А.Д. Рахимова, Н.А. Усов; Нац. исслед. ун-т «Высшая школа экономики». М.: НИУ ВШЭ, 2025. 23 с.
Antonova N.A., Blagoveshchenskii D.I., Kozlovskii V.N., Vasin S.A. Tools for Monitoring Customer Satisfaction with Vehicle Quality. Russian Engineering Research. 2023;43(2):199-202.
Breakthrough Technologies 2023. Text: electronic. MIT Technology Review. URL: https://www.technologyreview.com/2023/01/09/1066394/10-breakthrough-technologies-2023/ (accessed 15.01.2026).
Дилигенский Н.В., Матвеева Е.А. Концептуальная модель управления мелкосерийным машиностроительным производством в современных условиях / Материалы Международной научно-технической конференции «Информационные, измерительные и управляющие системы (ИИУС-2010)». Самара: СГТУ, 2010. С. 286-290.
Месарович М., Мако Д., Такахара И. Теория иерархических многоуровневых систем. М.: Мир, 1973. 344 с.
Antonova N.A., Blagoveshchenskii D.I., Kozlovskii V.N., Vasin S.A. Key Components of Brand Image Regarding Automobile Quality and Service. Russian Engineering Research. 2023;43(2):206-207.
Chiarini A., Belvedere V., Grando A. Industry 4.0 strategies and technological developments. An exploratory research from Italian manufacturing companies. Production Planning & Control. 2020;31(16):1385-1398.
Титов П.М., Берг Д.Б. Кортежные модели структуры и поведения целостной экономической системы. VI Всероссийская интернет-конференция по проблемам эконофизики и эволюционной экономики, 2010.
Негойце К. Применение теории систем к проблемам управления. М.: Мир, 1981. 180 с.
Матвеева Е.А., Симагина С.Г. Разработка модели системы материального стимулирования рабочих производственного предприятия // Отходы и ресурсы. 2019. Т. 6. № 1. Matveeva E.A., Simagina S.G. Development of a model of the system of material incentives for workers of an industrial enterprise. Othody i resursy. 2019;6(1). (In Russ.).
Царев М.В., Андреев Ю.С. Цифровые двойники в промышленности: История развития, классификация, технологии, сценарии использования. https://cyberleninka.ru/article/n/tsifrovye-dvoyniki-v-promyshlennosti-istoriya-razvitiya-klassifikatsiya-tehnologii-stsenarii-ispolzovaniya?ysclid=male8flcm11274476.
Жарасов Б.С., Абрамов В.И. Цифровые двойники в управлении производством: принципы создания, проблемы внедрения и перспективы развития // Современная экономика: проблемы и решения. 2024. № 6. Zharasov B.S., Abramov V.I. Digital twins in production management: creation principles, implementation problems and Development prospects. Sovremennaya ekonomika: problemy i resheniya. 2024;(6). (In Russ.).
Внедрение цифровых двойников как одно из ключевых направлений цифровизации производства / Н.В. Курганова, М.А. Филин, Д.С. Черняев и др. // International Journal of Open Information Technologies. 2019. № 5. Kurganova N.V., Filin M.A., Chernyaev D.S., Shaklein A.G., Namiot D.E. Digital twins’ introduction as one of the major directions of industrial digitalization. International Journal of Open Information Technologies. 2019;(5). (In Russ.).
Simagina S., Yuskaeva D., Evstafieva V. Modeling of the business process of workers’ remuneration as an integral part of a balanced scorecard-ITM. Web Conf. II International Workshop “Hybrid Methods of Modeling and Optimization in Complex Systems” (HMMOCS-II 2023). 2024, Vol. 59. https://www.itm-conferences.org/articles/itmconf/abs/2024/02/itmconf_hmmocs2023_01021/itmconf_hmmocs2023_01021.html.