The aims and tasks of the creating of digital twins of objects and processes have been considered. The aims and tasks of the development of the digital twin of the production and logistic system of the machine-building enterprise have been formulated. The structural model of the production and logistics system of digital twin has been offered and the data structure of the information model of the production and logistic system has been developed.

Analysis of production systems (PS) of discrete multi-nomenclature machine-building enterprises is a complex task, its solution is necessary to support decision-making during technical re-equipment, modernization or technological preparation of production. The paper shows a concept of joint use of operational scheduling systems and simulation modeling systems to improve the efficiency and adequacy of PS analysis. The problem of determining the deviation of the planned state of the PS from the simulated state and evaluating the level of stability and stability of the PS behaviour on its basis is considered. It is revealed that the proposed approach allows us to more adequately determine the timing of the production program, assess the stability of the PS behaviour when using various planning logics and algorithms, and choose the best one for subsequent use in a real PS.

The article deals with the issues of improving the efficiency of production and logistics systems (PLS) of machine-building enterprises through the joint use of MES/APS systems and simulation systems for verification of production plans and decision support. The possibility of using the PlantTwin simulation system on the example of a small machine- building enterprise is considered. Simulation of the operation of the enterprise’s PLS when performing a given production program is performed. Based on the results of simulation modeling, a number of organizational and technological proposals and recommendations for improving the efficiency of the enterprise’s PLS were formed. The proposed solutions were verified by making changes to the simulation scenario and obtaining new results showing their effectiveness.

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

The paper considers the simulation modeling features of various types machine-building enterprises. A tool set for building simulation models of various production types is proposed. A method of a combined approach for simulation model implementation of mixed production types is proposed and described.