CC BY
1
УДК 007.621.391
РЕШЕНИЯ ТРУДОЕМКИХ ЗАДАЧ С ПОМОЩЬЮ КИБЕРНЕТИЧЕСКОГО
ПОДХОДА
Т. Д. Киреев, С. В. Апанасенко, А. С. Коростелев Научный руководитель - А. А. Павленко
Сибирский государственный университет науки и технологий имени академика М. Ф. Решетнева Российская Федерация, 660037, г. Красноярск, просп. им. газ. «Красноярский рабочий», 31
Е-mail: soboleanastasiya@mail.ru
В статье рассмотрено применение кибернетического подхода для решения трудоемких задач, представлена информация про основные элементы кибернетики.
Ключевые слова: логистика, система, связь, кибернетический подход, информация.
SOLUTIONS OF LABOR-INTENSIVE TASKS USING THE CYBERNETIC APPROACH
T. D. Kireev, S. V. Apanasenko, A. S. Korostelev Scientific supervisor - A. A. Pavlenko
Reshetnev Siberian State University of Science and Technology 31, Krasnoyarskii Rabochii prospekt, Krasnoyarsk, 660037, Russian Federation Е-mail: soboleanastasiya@mail.ru
The article considers the use of the cybernetic approach for solving time-consuming tasks, provides information about the main elements of cybernetics.
Keywords: logistics, system, communication, cybernetic approach, information.
Cybernetics is the science of the general laws governing the processes of control and transmission of information in machines, living organisms and their associations. Cybernetics is the theoretical basis for the automation of technological processes. The term cybernetics was first proposed by Norbert Wiener in 1948. Further, Wiener added (1950) society to the objects studied by cybernetics. The object of study of cybernetics are systems in dynamics, the subject -information processes. Cybernetics studies systems of many elements that are interconnected by a series of cause-and-effect relationships. It is based on the idea of the decisive role of information in the processes of systems management and the ability to define general provisions for considering management issues in systems. The advantage of this approach is the ability to offer an effective method for modeling control systems to describe processes and solve complex control problems (problems) [1, 2].
The main sections of cybernetics:
• information theory;
• theory of management methods (programming);
• theory of control systems.
Information theory studies the ways of perception, transformation and transmission of information. Information is transmitted using signals - physical processes in which certain parameters are in one-to-one correspondence with the information presented [3].
âktyajihhhie npoo.iembi авнацнн h kocmohabthkh - 2022. tom 2
Programming theory studies the development of methods for processing and using information for management. Decision making is reduced to the processing of input information into output information (control commands), which ensures the result of the goal. It is carried out on the basis of some mathematical method in the form of an algorithm. The most developed are mathematical methods for determining optimal solutions.
The theory of control systems studies the structure and principles of building such systems and their relationship with controlled systems and the external environment. The control system can be any physical object that processes information.
In cybernetics, he identifies two general principles for constructing control systems: feedback and multi-stage (hierarchical) control. The feedback principle allows the system to perceive and use information about the results of activities to achieve the goal in the shortest possible time. Control processes in cybernetics can be displayed using fig. 1., which includes three subsystems: the control system, the control object and the communication system.
Fig. 1. Cybernetic approach to the description of the logistics system
The control system, together with the communication system, creates a control system. A communication system is a direct link through which the initial information is transmitted (x), and a feedback through which information about the control object (y) is transmitted to the control system. Information about the controlled object and the environment (w) is received by the control system, processed according to the purpose of control and transmitted to the control object [4-7]. The consumption of the concept of feedback is a hallmark of the cybernetic approach in logistics.
A multistage control scheme ensures the efficiency and stability of the control system [8-9].
In consequence of the foregoing, we can say that the features of using the cybernetic approach in logistics are to move towards the creation of an information concept for the representation of systems; the system with this approach is considered taking into account time; Methods for studying the behavior of complex systems are necessarily used [10]. The advantage of the approach is the ability to solve large, at the same time complex tasks, as well as to model, plan and implement control functions.
References
1. Kozlov V. K. Logistics of production. Part 1. Logistics of production in the system of logistics management of the enterprise: a textbook / V. K. Kozlov, N. V. Yakovleva. - SPb.: VSHTE SPbGUPTD, 2017Kozlov V. K. Logistics of production. Part 1. Logistics of production in
the system of logistics management of the enterprise: a textbook / V. K. Kozlov, N. V. Yakovleva.
- SPb.: VSHTE SPbGUPTD, 2017
2. Kozlov V. K. Logistics of production. Part 2. Logistic concepts and micrologistic systems of firm management: a textbook / V. K. Kozlov, N. V. Yakovleva. - SPb.: VSHTE SPbGUPTD, 2018
3. Sukhanov M. B. Tekhnicheskaya cybernetika: metodicheskie otkaziya / sost. M. B. Sukhanov. - SPb.: SPbGUPTD, 2017
4. Boyko A. A. et al. Using linear regression with the least squares method to determine the parameters of the Solow model //Journal of Physics: Conference Series. - IOP Publishing, 2020. - T. 1582. - №. 1. - C. 012016.
5. Milov A. V. et al. Classification of non-normative errors in measuring instruments based on data mining //Advances in Engineering Research. - 2018. - C. 432-437.
6. Boyko A. A. et al. Imitation-dynamic model for calculating the efficiency of the financial leverage //Journal of Physics: Conference Series. - IOP Publishing, 2019. - T. 1353. - №. 1. - C. 012123.
7. Boyko A. A. et al. The dynamic simulation model of calculating equipment purchase with the bond loan //Journal of Physics: Conference Series. - IOP Publishing, 2019. - T. 1399. - №. 3. - C. 033120.
8. Bir S. Cybernetics and Production Management. — M.: Nauka, 1965. — 391 s.
9. Bukhtoyarov V. V. et al. Evolutionary method for automated design of models of vortex flowmeters transformation function //Journal of Physics: Conference Series. - IOP Publishing, 2018. - T. 1118. - №. 1. - C. 012041.
10. Kurashkin S. O. et al. The model of energy distribution during electron beam input in welding process //Journal of Physics: Conference Series. - IOP Publishing, 2020. - T. 1679. - №. 4.
- C. 042036.
© KupeeB T. fl., AnaHaceHKO C. B., Kopocre.eB A. C., 2022
