Logical and Information Model of Management of Processes of «smart» Production

Abstract

The article presents a study of the specifics of «smart» production, the positive effect of which is certainly recognized by industrial enterprises. This means increasing production efficiency, ensuring the reliability, stability and safety of technological systems, and reducing the burden on the environment. In the context of the digital transformation of the industry, new opportunities are opening up to achieve this effect. In this regard, it is important to model the processes of «smart» production, the decomposition of the control system of mechanisms and tools. The purpose of the study is to build a logical and information model that reflects the specifics of managing the processes of «smart» production. The research methods used are comparative analysis (in the context of industries and territories); formalization, which clearly presents information about the management of «smart» production processes in the form of schemes and models; mathematical and statistical methods that underlie cluster analysis. As a result of the study, the following results were obtained: the general scheme of «smart» production was formalized, taking into account the processes of obtaining a petrochemical product, control actions, mechanisms and necessary resources, taking into account the guidelines for sustainable development; the typology of Russian regions, depending on the level of intellectualization of production, was identified according to the signs of the activity of organizations in terms of the use of information and communication technologies for the automation of processes and design: regions with low, medium and high activity of intellectualization of production; A logical and information model of managing the processes of «smart» production is proposed, covering the stages of integration and operation of digital technologies, production assets of industrial enterprises and personnel support, which differs in the object of modeling and systematically describes the functioning of intelligent production. The practical significance of the results is due to the possibility of competent process management in the context of the implementation of digital solutions and the sustainable development of industry.