Development of a Structural Model of a Digital Twin of Machine-Building Enterprises Production and Logistics System

Authors: Grigoriev S.N., Dolgov V.A., Nikishechkin P.A., Dolgov N.V. Published: 26.06.2021
Published in issue: #2(137)/2021  

DOI: 10.18698/0236-3941-2021-2-43-58

Category: Mechanical Engineering and Machine Science | Chapter: Organization of Production  
Keywords: digital twin, production and logistics system, mechanical engineering enterprise, information model, industry 4.0

The purpose of the paper was to consider theoretical aspects of creating digital twins of objects and processes, investigate current trends in the development of modern engineering enterprises, and formulate goals and objectives of the development of a digital twin of the production and logistics system of a mechanical engineering enterprise. We found that the solution of the problems of analysis, assessment and forecasting of the state of the production and logistics system is based on the development with a given degree of adequacy of an information model which describes the aspects of the functioning of its main subsystems in accordance with the goals and objectives solved by the digital twin. It is impossible to create such an information model without integral and logically related initial data on the production and logistics system, the sources of which can be the information systems of the enterprise that consistently manage production, organizational and economic processes at various levels of enterprise management. In accordance with this, we introduced a structural model of the digital twin of the production and logistics system and developed the data structure of the information model of the production and logistics system of a mechanical engineering enterprise. Furthermore, we formulated the requirements for the composition and interaction of enterprise information systems containing and processing data for building a digital twin of the production and logistics system. Finally, we proposed a generalized approach to the information support of tasks solved by a digital twin, which consists in the formation of local information models containing relevant data on the production and logistics system of a machine-building enterprise


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