ALGORITHM FOR OPTIMAL CONTROL THE DIGITAL TWIN OF THE ENTERPRISE

Abstract

The volume of processed information increases when analyzing and control the activities of an
enterprise as a system. The amount of processed information directly depends on the dimension of
this system. In the work, the activity of the enterprise is formalized as a digital twin of the enterprise.
The digital twin of the enterprise is analyzed as a dynamic system. The enterprise was identified as a
dynamic system. The digital twin of the enterprise is formalized as V. Leontiev's balance model. An
algorithm for optimal control of the digital twin of the enterprise has been created.
The following functions are considered as parameters of optimal control: the trajectory of the system,
the execution time of the algorithm and the indicator of the state of the system. In the algorithm for
enterprise control, the following methods were used: Bloom's taxonomy, the competence of graduates
in the SFU specialties and the National Qualifications Framework of the Russian Federation. The
identification of the enterprise processes is carried out by the method for which the patent has been
obtained. The algorithm is implemented in the author's software package for analyzing a system with
a dimension of 1.2 million values. The study showed significant changes in the values of the optimal
control functions characterizing the states of a dynamic object, depending on the selected techniques.
Calculations have shown how the choice of control method affects the optimality of decisions. The
state of the enterprise is displayed through the competencies of the personnel: psychomotor, cognitive
and affective. It was found that with low cognitive and affective abilities of the staff, psychomotor
activity begins to prevail, which leads to little result. With the growth of the cognitive abilities of thepersonnel, psychomotor activity becomes more adequate to the internal tasks and the influence of the
parameters of the external environment. An integral indicator was used to assess the implementation
of methods in enterprise control. The estimation of the optimality of the solution for control the digital
twin of the enterprise as a dynamic system is carried out.