Hybrid processes, focused on the use of multifunctional production complexes, have been actively used in metal processing recently. On the one hand, this fully fits the established trend of increasing complexity of technical systems due to the increase in the number of functions performed at one workplace, increasing complexity of the composition and structure of operations and process equipment, as well as an increasing number of functional modules in the control system with the integration of IT-technologies and flexible automation. The creation of the above systems with high efficiency allows a wide range of issues and problems to be solved. The main challenge is to build multifunctional production complexes with standalone operations in flexible machine-building production. This minimizes the amount of main and auxiliary equipment, production space and resources, and reduces the production cycle by replacing route technology with a "one workstation" complex for the turnkey production of parts [1-10].
On the other hand, due to the lack of funding for agriculture, the trend of the division of large enterprises into small companies, the development of small businesses and repair shops, and the course of the Russian government on import substitution require to think through the issue related to the optimization of equipment used and the application of the principle of aggregation [ ].
The technical and economic analysis (Fig. 1) showed that hybrid machine tool systems are economically feasible to use with a minimum range of manufactured parts, which is similar to the niche of automatic equipment with non-reprogrammable control systems (area A). However, the flexibility and versatility of such complex mechatronic systems will practically not be used, which is not technically and productively justified. The high price of hybrid machines makes their use low-cost in the effective area of traditional CNC machines (area C). However, their greater flexibility allows for expanding the zone (area B) of effective applicability for a set of technical and economic indicators.