ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 1. Vol. 29. 2023

DOI: 10.17587/it.29.23-32

I. Ò. Kimyaev, PhD, Architect,
Norilsk Nickel Sputnik LLC, Moscow, Russian Federation,
B. V. Sokolov, Dr. Sc. (Tech.), Professor, Chief Researcher,
St. Petersburg Federal Research Center of the Russian Academy of Sciences (SPC RAN), Saint-Petersburg, Russian Federation

Problems and Methodological Approaches to Increasing the Viability of Production Facilities Based on the Concept of Evolutionary Management

The article discusses one of the promising ways to improve the efficiency of vertically integrated business entities through a comprehensive and purposeful complication of the components and internal structure of information control systems that provide the required level of viability of these facilities. This direction is based on the methodology of complexity control, which is developed by the authors of the article and is the basis of a methodological approach that describes the order of systematic and evolutionary replacement of operators — technologists with functionally equivalent information and control software and hardware systems used at existing and prospective production facilities.
Keywords: control object, "black box", integrated control system, human factor, viability, complexity control

Acknowledgements: The study was supported by the Russian Science Foundation grant No. 22-19-00767.

P. 23–32

References

1. Sandip Lahiri K. Multivariable predictive control. Applications in industry, NY, John Wiley & Sons Limited, 2017, 304 p.
2. GOST R MEK 62264-1-2014. National standard of the Russian Federation integration "Enterprise-control system integration". Part 1. Models and terminology. 2016 (in Russian).
3. GOST R ISO 15746-1-2016. Integrate advanced process control and optimization capabilities for manufacturing systems. Part 1. Structure and functional model. 2016 (in Russian).
4. Beer S. Cybernetics and Management, Moscow, Kom-Kniga, 2010, 280 p. (in Russian).
5. Antonov V. V., Konev K. A. Intelligent decision support method in a typical situation, Design ontology, 2021, vol. 11, no. 1, pp. 126—136 (in Russian).
6. Bashlykov A. A., Eremeev A. P. Expert decision support systems in the energy sector, Moscow, Publ. MEI, 1994, 213 p. (in Russian).
7. Mikoni S. V., Sokolov B. V., Yusupov R. M. Qualimetry of models and polymodel complexes, Moscow, RAN, 2018, 314 p. (in Russian).
8. Balashov E. P. Evolutionary synthesis of systems, Moscow, Radio and communication, 1985, 328 p. (in Russian).
9. Kimyaev I. T., Spesivtsev A. V. Ontological and Fuzzy-Possibility Approach to the Synthesis of the DM Functional Equivalent for Management of Hierarchical Systems, Silhavy, R. (eds) Artificial Intelligence Trends in Systems. CSOC 2022. Lecture Notes in Networks and Systems, 2022, vol. 502, Springer, Cham. https://doi.org/10.1007/978-3-031-09076-9_53.
10. Okhtilev M. Yu., Sokolov B. V., Yusupov R. M. Intelligent Technologies for Monitoring and Controlling the Structural Dynamics of Complex Technical Objects, Moscow, Science, 2006, 410 p. (in Russian).
11. Trotsky D. V., Gorodetsky V. I. Scenario-based knowledge model and language for situation assessment and prediction, SPIIRAS Proceedings, 2009, no. 8, pp. 94—127 (in Russian).
12. Pavlov A. N., Pavlov D. A., Umarov A. B., Gordeev A. V. Method of structural-parametric synthesis of configurations of a multi-mode object, Informatics and automation, 2022, no. 4(21), pp. 812—845 (in Russian).

To the contents