articles
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№ 1(97)
31 january 2022 year
Rubric: Processes and systems modeling Authors: Bulygina O. V., Vlasova E. |
In recent years, simulation has been actively used to study socio-economic processes in order to test various management decisions (for analyzing risks, projects, regional processes, logistics, etc.). Today, three simulation systems (Actor Pilgrim, AnyLogic, GPSS World), each of which has its own areas of application, are the most widespread in Russia. So, the system Actor Pilgrim is most suitable for modeling socio- economic processes. The first version of this system was developed by a group led by Professor Alexander Anatolyevich Yemelyanov more than 35 years ago to solve experimental problems in the direction of "Flexible automated production". It was based on a new modeling paradigm, which was built on the actor-network theory. The transition to solving new problems, primarily in the economics, led to the need for its further system development through the implementation of temporal, financial and spatial dynamics. Currently, the system development is carried out through the construction of hybrid simulation models, which is associated with the introduction of various analysis methods. So, when modeling actual technical and economic processes (for example, import substitution of high- tech products), it is proposed to use artificial intelligence methods that allow you to get informed decisions in conditions of information uncertainty. Models that include fuzzy logic methods and swarm algorithms (in particular, bacterial optimization) have shown good results. For example, fuzzy logic methods have been used to assign "fair" priorities to option projects through a detailed analysis of the factors of the internal and external environment of enterprises that will implement them. Bacterial optimization algorithms have been used to search for "promising" areas for the implementation of the projects of import substitution of high-tech products. These swarm algorithms are distinguished by the ability to simultaneously study favorable and negative factors, i. e. allow taking into account various risk situations. The modern version of Actor Pilgrim is intended for systems analysts, economists-mathematicians and other professionals who are familiar with programming, but are not professional programmers. Continue... |
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№ 1(97)
31 january 2022 year
Rubric: Processes and systems modeling Authors: Kosorukova O., Prokimnov N. |
The article 30 of the Federal Law "On the Securities Market" establishes that significant facts are information that, if disclosed, may have a significant impact on the value or quotations of the issuer's securities and (or) on the decision to acquire or alienate the issuer's securities by any interested person acting reasonably and in good faith. At the same time, there are very few empirical studies proving the influence of significant facts on the value or quotations of securities of Russian issuers. Modeling of such influence in order to manage the value and capitalization level of Russian issuers is advisable for investors, owners and management of Russian public joint stock companies to study the possibilities of managing the value and capitalization level of companies. The solution to this problem is based on measuring the results of the joint-stock company's activities and publicly disclosing the information necessary for making managerial decisions, which in the Russian Federation includes, among other things, significant facts. Significant facts are events that can change the current state of the company, in particular, affect such an indicator of its activity as the level of capitalization, therefore, affect the decisions made by the interested person. A few studies on the impact of significant facts on the level of capitalization of Russian companies have already been conducted earlier, however, since their implementation, a number of regulatory documents have come into force that change the legislative environment and affect, among other things, the composition of mandatory registration and disclosure of significant facts. This paper presents the results of a study aimed at establishing a list of the most significant events characteristic of companies' activities, identifying events that are universal in terms of the frequency of occurrence and significance of consequences, and finding out whether there is a connection between their occurrence and the effects caused in the form of changes in the values of financial indicators. For the research, data from 20 large Russian companies representing the oil and gas, metallurgical, chemical and energy industries were used, and received in the form of reports for the period following the introduction of changes in the regulatory environment. Continue... |
| Nowadays a production enterprise is inconceivable without the automation of all its processes – technological, production, and managerial. The efficiency of an enterprise largely depends on high-quality data processing within a single information space. The introduction of an integrated automated management system for an industrial enterprise, consistent with the business model, will eliminate many of the problems arising during creation, integration and development of automated systems, will create an effective enterprise management system and will reduce future costs of production modernization. Current trends of digital transformation increase the demand for an integrated business management system model, that would include a model of an integrated information management system as an integral part of it. The study aims to develop a reference functional model of mining enterprises, including a comprehensive vision of business, production and technological processes and their IT support. The model proposed is based on the analysis of existing international industry approaches to automation, as well as the experience and best practices of automation of mining enterprises. The methodological foundations of the research include enterprise architecture approach (including the concept of service-oriented architecture) and authors' function-oriented approach for engineering the IT architecture. The article describes a reference functional model of a mining enterprise, on the basis of which the structure of the mining enterprise IT-architecture functional structure is determined. The function-oriented approach for engineering IT-architecture as a reflection of the business functional structure is a good example of the symmetry phenomena in enterprise management. Further research will be devoted to the issues of designing an information exchange model and a data architecture model for the mining value chain and its individual parts in interconnection, as well as reflecting end-to-end processes of mining enterprises in the IT architecture based on the developed model for determining the boundaries of functional blocks of information systems. Continue... | |
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№ 2(98)
31 march 2022 year
Rubric: Performance management Authors: Belyakov M., Anodina O., Kulikova M., Rysina (Lobaneva) E. |
Optical spectral methods in the ultraviolet and visible regions can be used to develop transformer oil control technologies based on deep learning neural network models. The aim of the research is to identify informative spectral ranges of luminescent diagnostics for the automation system for monitoring the characteristics and parameters of transformer oil using deep learning neural networks. Measurements of the spectral characteristics of pure and spent transformer oil in the range of 180-700 nm were carried out on a diffraction spectrofluorimeter "Fluorat-02-Panorama". A qualitative and quantitative difference in the excitation spectra has been established: for waste oil, the spectra are shifted to the right and reduced by about four times to the maximum. The excitation maxima are located at wavelengths of 300, 322, 370 nm for pure and 388, 416 and 486 nm for waste oil. The photoluminescence spectra of pure oil at 300 nm excitation are a superposition of at least three curves, the largest of which has a maximum at 382 nm. For excitation of 370 nm, the spectrum is significantly wider and has maxima at wavelengths of 387, 405, 433-439 and 475-479 nm. The photoluminescence spectra of used oil are several times lower and have maxima at 446, 483 and 520-540 nm. The established excitation and luminescence ranges will be used when creating a methodology and installing quality control parameters of transformer oil during its operation. A deep learning neural network model based on the use of a self-organizing Kohonen map was also developed, which made it possible to predict the spectral characteristics of excitation based on the photoluminescence flow of transformer oil and, as a result, to determine the efficiency of the described method in industry through a decision-making system. Continue... |
| The article deals with the problem of organizing training for data scientists and data analytics specialists using information technologies. The authors analyzed the current sets of competencies of data science and analytics, identified the problems of organizing their development, considered modern trends in the instrumental support of the learning process. Particular attention is paid to the peculiarities of the development of soft skills in data science and analytics, which should be taken into account in systems and platforms for learning support when building models for the formation of personalized content and learning paths within the course. The necessity of creating a multi-agent software application to support the pedagogical design of the course is substantiated, which allows to adapt the capabilities of modern software systems and learning platforms to increase the efficiency of group interaction and the formation of soft skills necessary in the implementation of data analysis projects. The results of the conceptual design of a multi-agent application integrated with modern learning platforms are presented: a UML diagram of use cases is proposed that provides support for the personalization of training not only at the individual, but also at the command level, the base classes of agents are highlighted and an ontological model is developed to support the formation of soft skills in data science and analytics, directions of further research are determined. The results obtained will be useful to support the formation of a full set of competencies for data science and analytics, as well as to increase the efficiency of group work and support the personalization of content in a hybrid or online learning format, both in the higher education system and in corporate divisions. Continue... | |
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№ 2(98)
31 march 2022 year
Rubric: Models and Methods Authors: Rozhkov V., Butrimov S., Fedotov V., Krutikov K. |
The article proposes a solution to the problem of accelerating the processes of self-starting of asynchronous electric motors of pumping equipment with the help of simulation computer modeling tools to reduce the negative impact on the power supply circuit of the auxiliary needs of a nuclear power plant. The features of the run-down transient processes and the interaction of machines of various capacities in the autonomous circuit that occurs after they are turned off, the subsequent transition to a backup power source, and the emerging effects during self-start are considered. It is shown that the most severe mode of such a transition occurs as a result of the operation of automatic switching on of the reserve and disconnection of working power sources by technological protections or actions of operational personnel at the operational level of operating voltage and nominal or close to it load sections. The analysis of emerging modes is carried out using models developed in the MatLab computer mathematics system with a built-in electrical application. The features of the processes of run-down and subsequent self-starting at various favorable and unfavorable moments of time and the magnitude of the mismatch between the voltages of the network and the resulting autonomous circuit are demonstrated. The models make it possible to obtain a reliable mathematical description of the electromagnetic and mechanical processes of motors in a complex electromechanical system of several motors, to measure the instantaneous voltage differences between the network and the run-down circuit, and to predict the optimal time to turn on the backup power source. The results of the studies carried out on the models are the development of recommendations on the technology for monitoring voltage and circuit mismatches for the same phases, the assessment of the root-mean-square deviation of these mismatches and the effective search for the moment of re-enabling the backup source to improve the technological modes of nuclear power plants. Continue... |
