The task to research the enterprises when locating them in the new areas is posed and solved. The relevance of the problem is related to both moral and physical aging of production systems, which leads to the need for their modernization and reengineering. For the development of the enterprise, new areas are required to accommodate modern technological equipment. Due to the diversification of the company's activities and the appearance of new orders, it is advisable to place modern production

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... nes with a high degree of automation in new areas. The requirements for the organization of new industries, taking into account the concept of Industry 4.0, have led to the creation of enterprises in the form of virtual industries focused on the creation of new innovative products. The aim of the work is to develop models for the rational location of virtual production in the new areas in conditions of limited enterprise capabilities. Due to the complexity of the problem being solved, the study is carried out in three stages: optimization of location on the earth's surface; creation of the communication infrastructure for virtual production; simulation of the virtual enterprise production cycle. The efficient location of virtual production is carried out using both local and multicriteria optimization. In order to create the communication infrastructure of the virtual enterprise the selection of the optimal route for highway laying is carried out. Simulation of the production cycle is carried out considering time delays and queues when performing technological operations. The new scientific result is the solution of the problem of virtual production system locating on the earth's surface, taking into account the proposed indicators and restrictions, which include the cost of land plots renting (acquiring), as well as the costs associated with earth and construction works. Mathematical methods were used: integer optimization, simulation modeling, agent-based modeling. Keywords: virtual enterprise, optimization of technological objects location, communication infrastructure of the enterprise, simulation modeling, agent-based modeling.