name
Baranovskaya Tatyana Petrovna
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
• Kuban State Agrarian University
кафедра системного анализа
зав. кафедрой
Research interests
-
Web site url
—
Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 65
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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INTELLECTUAL MODELS OF INVESTMENT MANAGEMENT OF AGRO-INDUSTRIAL COMPLEX
Description
This article describes the system-cognitive approach to an investment management of agribusiness at the regional level in order to improve the quality of life. The possibility of the practical application of the proposed quantitative integral criterion of the quality of life for the identification year study period, and obtained influence functions volume and direction of investment in the value of the integral criterion and partial criteria of quality of life in the region is presented. The results open the possibility of scientific study recommendations on the structure and terms of investments, the most effective impact on improving the quality of life of the region
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08.00.13 Mathematical and instrumental methods of Economics
Description
In their previous works, the authors solved the problem of cognitive-target structuring and formalization of the subject area, as well as the synthesis and verification of statistical and system-cognitive models. This work is devoted to the application of these models to solve the problem of forecasting the impact of the volume and direction of investment in agriculture on the economic component of the quality of life of the population of the region. This work is devoted to the use of previously created and verified models to solve the problem of decision-making on the volume and direction of investment in agriculture, improving the quality of life of the population of the region
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08.00.13 Mathematical and instrumental methods of Economics
Description
This work is devoted to revealing some opportunities of the research of a subject to modeling by a research of its model given by the ASC-analysis and the Eidos system
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Description
The article reveals the basic concepts, purpose and classification of HRM systems used to manage the organization's staff. The analysis of the international and Russian market of HRM-systems and selected alternatives (seven information systems) of this class focused on the Russian practice of large and mediumsized businesses has been performed. The process of implementing an information system involves selecting the system that best suited to the needs of the business. For this purpose, there were developed evaluation criteria of information systems and their importance for the company. This stage of research was conducted through a survey of experts from among the University staff and practitioners. As a result, we have obtained the matrix of evaluations of alternative information systems of HRM and selected class "1C: Salary and personnel management 8". Research demos of the selected HRM system allowed developing a functional model, presented in the form of complex diagrams of cases of modeling language UML 2.0. The developed diagrams clearly reflect the allocated subsystems and their functions, as well as the relationship between the actors of the process and system functions. Summarizing the experience of implementing similar systems, we composed a smartchart showing the main stages of its implementation. The results have practical value and can be used by companies of the considered business segment as specific recommendations
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Description
The article presents the basic concepts, classification of SCM systems and the field of application of this management technology. The analysis of the international and Russian market SCM-systems, allowed us to choose the five most popular alternative information systems of this class. For the procedure of selection of the information system have been developed criteria, oriented to the demands of corporate integrated structures. For each criterion there was determined a value coefficient. This stage of research was carried out with the involvement of heads of corporate integrated structures, experts in the field of it and scientists of Kuban state agrarian University. As a result of the assessment, we have chosen an information system called "SAP SCM EWM" with the highest number of points. The study of the functional information system was carried out by building a complex chart of precedents (the modeling language UML, tool Microsoft Visual Studio 2012). Generalization of experience of consulting and analytical companies allowed to allocate the main stages of implementation for SCM systems and to develop recommendations for their implementation. The study has practical value for the integrated corporate structures from the standpoint of managerial decision-making of choosing an information system of type SCM and introducing it into their operations
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AGRO-INDUSTRIAL HOLDING RESEARCH BY ITS COGNITIVE MODELLING
Description
The article describes the research of two-level semantic information model of agro-industrial holding, which is correct to be considered as a research of the holding itself, as model verification has shown its high adequacy
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COGNITIVE MODELS OF PREDICTION THE DEVELOPMENT OF A DIVERSIFIED CORPORATION
Description
The application of classical forecasting methods applied to a diversified corporation faces some certain difficulties, due to its economic nature. Unlike other businesses, diversified corporations are characterized by multidimensional arrays of data with a high degree of distortion and fragmentation of information due to the cumulative effect of the incompleteness and distortion of accounting information from the enterprises in it. Under these conditions, the applied methods and tools must have high resolution and work effectively with large databases with incomplete information, ensure the correct common comparable quantitative processing of the heterogeneous nature of the factors measured in different units. It is therefore necessary to select or develop some methods that can work with complex poorly formalized tasks. This fact substantiates the relevance of the problem of developing models, methods and tools for solving the problem of forecasting the development of diversified corporations. This is the subject of this work, which makes it relevant. The work aims to: 1) analyze the forecasting methods to justify the choice of system-cognitive analysis as one of the effective methods for the prediction of semi-structured tasks; 2) to adapt and develop the method of systemic-cognitive analysis for forecasting of dynamics of development of the corporation subject to the scenario approach; 3) to develop predictive model scenarios of changes in basic economic indicators of development of the corporation and to assess their credibility; 4) determine the analytical form of the dependence between past and future scenarios of various economic indicators; 5) develop analytical models weighing predictable scenarios, taking into account all prediction results with positive levels of similarity, to increase the level of reliability of forecasts; 6) to develop a calculation procedure to assess the strength of influence on the corporation (sensitivity) of its member enterprises; 7) to finalize the software tools the ask analysis to the level of information technology, given its adaptation and development to predict actions in a diversified corporation
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COMPLEX OF MATHEMATICAL MODELS OF BREAD PRODUCTS TECHNOLOGICAL CHAIN
Description
This article briefly describes the proposed by the authors mathematical models of the integrated production system for the processing of wheat grain, united in two blocks – the block of deterministic models and the block of stochastic and fuzzy models
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COMPLEX MODELS FOR EVALUATION THE EFFECTIVENESS OF CREDIT USE BY SMALL AGRICULTURAL COMPANIES
Description
The article presents the results of the economic-mathematical modeling of the processes of evaluating the effectiveness of agricultural lending to small enterprises. It also describes the structure and the composition of the complex models and the numerical methods designed for this purpose
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Description
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