Digital model of the organization: definition, designing, applying


Аuthors

Lesik E. S.*, Padalko S. N.**, Stankevich A. M.***

Moscow Aviation Institute (National Research University), 4, Volokolamskoe shosse, Moscow, А-80, GSP-3, 125993, Russia

*e-mail: klesik@inmas.ru
**e-mail: snp_609@mai.ru
***e-mail: stan@inmas.ru

Abstract

The article defines a digital model of an organization as a system of resources (material, personnel, information, financial, etc.), which ensures the production of products ordered from this organization. A change in the state of an organization is presented in this article as a change in the state of resources included in the digital model. These changes occur as a result of the organization performing its work, and in the digital model of this organization - as a result of executing model mapping. The article proposes to use design, technological and production documentation developed at the stages of design and launching into manufacture of products of the modeled organization as a source of information used to build a digital model of an industrial organization. This ensures the adequacy of the digital model and the organization as an object of modeling. A digital model built on the basis of the regulatory documentation of the organization contains information on various types of activities of the organization, for example, production, logistics, financial and other processes. As a result, a digital twin of an industrial organization built on the basis of the proposed digital model of the organization allows accumulating and analyzing information on various aspects of the organization's activities, which significantly expands the organization's capabilities for predictive management. As an environment for implementing a digital model of an organization, it is proposed to use ERP class systems, the functionality of which can be expanded due to the possibility of solving on their basis the problems of planning, management and optimization of organizational resources using mathematical methods.

Keywords:

digital model of an organization, digital twin of an organization, management system, ERP system

References

  1. Akulich I.L. Matematicheskoe programmirovanie v primerakh i zadachakh (Mathematical programming in examples and tasks: a teaching manual). Saint-Peterburg: Lan' Publ., 2022. 352 p.
  2. NEOS Server for Optimization. URL: https://neos-server.org/neos/solvers/index.html 
  3. Nabatov A.N., Vedenyapin I.E., Mukhtarov A.R. Applying ontology approach to information system design. Trudy MAI. 2018. No. 102. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=99177
  4. Liao Y., Deschamps F., Loures E. de F.R., Ramos L.F.P. Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal. International Journal of Production Research. 2017. Vol. 55 (12), P. 3609–3629. DOI: 10.1080/00207543.2017.1308576
  5. Smirnov O.L., Padalko S.N., Piyavskii S.A. SAPR: formirovanie i funktsionirovanie proektnykh modulei (CAD: design and operation of project modules). Moscow: Mashinostroenie Publ., 1987. 272 p.
  6. Grigor'ev A.A., Titov V.A. Characteristics, structure, organization systems ERP-manadement, ERP II and ERP III. Fundamental'nye issledovaniya. 2017. No. 2. P. 48-51. (In Russ.)
  7. Pinedo M.L. Scheduling: Theory, Algorithms, and Systems. Prentice Hall, New York, NY, 2008. DOI: 10.1007/978-0-387-78935-4
  8. Tsarev M.V., Andreev Yu.S. Digital Twins in Industry: History of Development, Classification, Technologies, Use Cases. Izvestiya vuzov. Priborostroenie. 2021. Vol. 64, No. 7. P. 517-531. (In Russ.)
  9. Petrov A.N., Sudov E.V., Ivanov A.V., Ushakov E.Yu. Standardization of product life cycle support in digital economy. Standarty i kachestvo. 2024. No. 12. P. 22-27. (In Russ.). DOI: 10.35400/0038-9692-2024-12-205-24
  10. Konovalova G.I. Conceptual and methodological framework digital transformation machine-building enterprise. Organizator proizvodstva. 2023. Vol. 31, No. 1. P. 159-170. (In Russ.). DOI: 10.36622/VSTU.2023.56.17.012
  11. Tkachenko I.S., Antipov D.V., Kupriyanov A.V., Smelov V.G., Kokareva V.V. Conceptual model of a digital factory of an aerospace manufacturing enterprise. Izvestiya Samarskogo nauchnogo tsentra RAN. 2023. No. 3 (113). P. 90-106. (In Russ.)
  12. Khitrova T.I., Khitrova E.M., Peshkova O.V. Technological aspects of the concept of forming a single information space of a modern enterprise. Izvestiya Baikal'skogo gosudarstvennogo universiteta. 2023. Vol. 33, No. 4. P. 735–743. (In Russ.). DOI: 10.17150/2500-2759.2023.33(4).735-743
  13. Sudov E.V., Petrov A.N., Petrov A.V., Osyaev A.T., Serebryanskii S.A. Tekhnologii integrirovannoi logisticheskoi podderzhki v protsessakh zhiznennogo tsikla aviatsionnoi tekhniki (Integrated logistics support technologies in aircraft life cycle management). Moscow: Editus Publ., 2018. 174 p.
  14. Petrov D.Yu. Architecture of the information system for life cycle management of digital twin for continuous processes. Izvestiya SPbGTI (TU). 2021. No. 57. P. 98-104. (In Russ.)
  15. Ponomarev K.S., Feofanov A.N., Grushina T.G. Enterprise digital twin – instrument of digitalization the activity of the organization. Avtomatizatsiya i modelirovanie v proektirovanii i upravlenii. 2019. No. 2 (4). P. 11-17. (In Russ.)
  16. Tsymbal M.R., Semichastnov A.E., Balakin D.A., Udalov N.N. Development of a digital twin of a ground-based radio navigation system based on the principles of model-oriented design using the mathematical modeling environment Engee. Trudy MAI. 2024. No. 136. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=180679
  17. Minakov E.P., Privalov A.E., Bugaichenko P.YU. A method for estimating the characteristics of digital models of cyber-physical systems based on multiple regression analysis of the results of their application. Trudy MAI. 2023. No. 131. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=175925. DOI: 10.34759/trd-2023-131-19
  18. Samogorodskaya M.I., Beinar I.A., Narolina T.S. Features of digital transformation enterprises of aerospace industry. Region: sistemy, ekonomika, upravlenie. 2020. No. 1 (48). P. 91–97. (In Russ.)
  19. Dembitskii N.L., Vasil'eva T.Yu. The technology expert system for radio electronic equipment production. Trudy MAI. 2006. No. 24. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=34082
  20. Gusev P.Yu., Gusev K.Yu. Prediction of production plan implementation of aviation enterprise employing a fuzzy neural network. Trudy MAI. 2020. No. 110. (In Russ.). URL: https://trudymai.ru/eng/published.php?ID=112933. DOI: 10.34759/trd-2020-110-20


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