ISSN 0021-3454 (print version)
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12
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vol 64 / December, 2021
Article

DOI 10.17586/0021-3454-2021-64-9-759-766

UDC 004.896

APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR SOLVING PROBLEMS OF PRODUCTION OPTIMIZATION BASED ON DIGITAL TWINS

A. N. Sochnev
Siberian Federal University, Department of Robotics and Technical Cybernetics;


Abstract. An approach to solving the problem of operational scheduling of production based on the use of a simulation model controlled by an artificial neural network is proposed. The implemented production simulation model uses the Tecnomatix Plant Simulation software. An example of the proposed approach application for production planning in a typical production system is presented, and the achieved effect is experimentally confirmed for various quality criteria of production plans. The main advantages and disadvantages of the developed approach are revealed, the possibility of implementing the of the approach elements with other types of simulation models is analyzed.
Keywords: digital twin, simulation model, operational scheduling, technological route, artificial neural network

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