Modeling the inverse problem of knowledge synthesis for a flexible production system

Mager, Vladimir E.; Белоусов, В. Е.; Desyatirikova, Elena N.; Olga, V. Tzaregorodtceva; Kharitonova, Tamara B.; Shevchenko, D. V.

doi:10.1109/eiconrus.2018.8317286

Cited by 6 publications

(1 citation statement)

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“…При этом увеличение размерности системы требует построения моделей не только частных ситуаций предметной среды, но и моделей, учитывающих характер динамики изменения параметров процесса управления на всем горизонте планирования. Известны различные способы представления ситуационных систем управления, реализующие как эвристические рекомендации [1], так и модельный аппарат с элементами оптимизации [2], а также с использованием нечетких динамических семантических сетей [3]. Мы предлагаем рассматривать соответствующую задачу с позиций теории информации, позволяющей наиболее абстрактным способом (не ограничиваясь рамками определенной предметной области) провести моделирование и оптимизацию структуры системы управления сложным, не имеющим аналогов проектом.…”

Section: Introductionunclassified

Information analysis and synthesis of the organizational structure of the unique project in the classical control theory

Десятириков¹,

Нечаев

Десятирикова

et al. 2019

Vestn. Voronež. gos. univ. inž. tehnol.

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The formation of the organizational structure of a unique project (without prototypes) refers to the general problem of optimizing the management of processes in irreversible systems of various types. At the same time, an increase in the dimension of the system requires the construction of models not only for particular situations of the objective environment, but also for models that take into account the nature of the dynamics of changes in the parameters of the management process throughout the planning horizon. The article considers the problem from the perspective of information theory, which allows the most abstract method (not limited to a specific subject area) to carry out modeling and optimization of the structure of a control system with a complex, unparalleled project. Information in the economic system is heterogeneous, probabilistic, and has various quantitative characteristics, used to varying degrees in the modeling of complex management processes. The problem of synthesizing the structure of an organizational management system includes the choice of the number of levels and subsystems, as well as the principles of management organization; synthesis of the structure of the system for collecting, transmitting and processing information; addressing issues related to optimizing the hierarchy of the system, ensuring the effective performance of management functions and the achievement of goals. In the tasks of analysis and synthesis of the organizational structure of unique projects, the apparatus of the transfer functions of the classical control theory is used. The organizational structure was modeled at the most abstract level in terms of information theory. The proposed method of optimizing the organizational structure, taking into account the principle of the information value of the resources of the management system. The representation of the management process as a transitional process (a dynamic process of information transformation) allows to reconcile the dynamic characteristics of the control system hardware and the human factor operating in it.

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Section: Introductionunclassified

Information analysis and synthesis of the organizational structure of the unique project in the classical control theory

Десятириков¹,

Нечаев

Десятирикова

et al. 2019

Vestn. Voronež. gos. univ. inž. tehnol.

View full text Add to dashboard Cite

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Quality 4.0. Time of revolutionary changes in the QMS

et al. 2021

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The article examines the tendencies and prospects for constructing adaptive mechanisms for the functioning of active systems, taking into account the influence of the tendencies of the fourth industrial revolution, called “Industry 4.0”, on the quality management system of enterprises. The main components of “Industry 4.0” is the global digitalization of all enterprise processes, including management processes, which makes the process of creating learning mechanisms of functioning (MFF) of active systems, which are able to improve their functioning over time, considered relevant. The described construction of the GFM is based on the use of learning processes carried out using probabilistic iterative (recurrent) algorithms. These algorithms make it possible, as a result of processing current information, to make up for the lack of a priori data and, ultimately, to achieve the best, from a certain point of view, performance indicators.

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