name
Baranovskaya Tatyana Petrovna
Scholastic degree
•
Academic rank
professor
Honorary rank
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Organization, job position
• Kuban State Agrarian University
кафедра системного анализа
зав. кафедрой
Research interests
-
Web site url
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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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PERFORMANCE MODELS FOR SMALL PROCESSING COMPANIES OF AGRARIAN AND INDUSTRIAL COMPLEX (part 2)
Description
The article proposes a solution to one of the problems of small business, which is creation of a part of the software of management of information system efficiency for small processing enterprises of AIC. The fact is, that currently, there are almost no information systems to support small business. All known information systems have approximately the same list of automated functions, covering the accounting phase, and sometimes phase of analysis. Practically, not affected by the evaluation function of the economic situation, prediction, planning and regulation. The proposed mathematical model has been developed on the basis of the creation of streaming schemes of one-product processing enterprises of agroindustrial complex and mathematical description of the proceeding financial and material flows
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PERFORMANCE MODELS FOR SMALL PROCESSING COMPANIES OF AGRARIAN AND INDUSTRIAL COMPLEX (part 1)
Description
The article proposes a solution to one of the problems of small business, which is creation of a part of the software of management of information system efficiency for small processing enterprises of AIC. The fact is, that currently, there are almost no information systems to support small business. All known information systems have approximately the same list of automated functions, covering the accounting phase, and sometimes phase of analysis. Practically, not affected by the evaluation function of the economic situation, prediction, planning and regulation. The proposed mathematical model has been developed on the basis of the creation of streaming schemes of one-product processing enterprises of agroindustrial complex and mathematical description of the proceeding financial and material flows
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01.00.00 Physical-mathematical sciences
Description
In the article we present a spatial structure of largescale transport systems. The model of a transport network can be presented in the form of a graph, with a set of the nodes corresponding to elements of a network and a set of edges – to sections of roads the connecting these nodes. As the model of a card of roads, it is offered to use prefractal graphs which naturally reflect structure of communications when reviewing a transport network in different scales (the states, regions, areas). Prefractal graphs allow describing structural dynamics of the studied system in the discrete time. One of the most widespread scenarios of structural dynamics is the growth of structure. The statement of tasks of the organization of transport routes contains requirements criteria to finding of optimal solutions. Often these requirements and criteria are contradicting each other. It leads to appearance of a multicriteria problem definition. The multicriteria problem definition on a class of prefractal graphs is considered. The optimum algorithm of separation of the greatest maximum paths by the given criterion is constructed and estimates by remaining criteria are given. In operation computing complexity of the constructed algorithm of separation of the greatest maximum paths on a prefractal graph is calculated and advantage of operation of algorithm on last before algorithm of separation of the greatest maximum paths on normal graphs is justified. The constructed algorithm on prefractal graphs has polynomial complexity
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Description
In this article outcomes of economic-mathematical modeling of the processes, which are flowing past in manufacturing chains of the small agricultural business, are resulted. The structure of a developed complex of models of planning and production management in farms is featured. The Indistinct mathematical models substantiation efficiency use of credit funds is developed
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Description
To increase the validity of conclusions about the impact of the environment on the quality of life we need to move from generalities to the application of quantitative modeling techniques. This requires the joint processing environmental databases and databases depicting various aspects of quality of life. These databases are needed to be handled not just together, but in a comparable form approach, including technology and methodology, and to be implemented in one software system. For the first time in the environmental studies, it has been planned to be done with the application of the ASK-analysis and the system called "Eidos". Previously, the authors have set the goals and the objectives of the application of the ASK-analysis to study the effect of environmental factors on the quality of life of the population of the region. The article reveals the urgency of this study; the requirements for the method of conducting the study, the choice of a research method; as well as the contents of the objectives of the study. The proposed work is at the edge of mathematical ecology and mathematical modeling of quality of life (which refers to mathematical and instrumental methods of Economics), resulting from expected synergies, consists in obtaining of new knowledge in these fields that is relevant to both ecology and economy. This knowledge will make it more meaningful and justified for the application of environmental criteria and concepts in the economy. This work contains a description of the basic data sources for the study of the impact of environmental factors on various aspects of quality of life of the region's population, the source data for this study, the characteristics of the original data, substantiation of requirements to the method of research, choosing research methods appropriate to requirements; the development of steps to achieve the objectives of the study
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THE RATIONALE FOR SELECTING THE METHOD OF FORECASTING THE DEVELOPMENT OF A DIVERSIFIED CORPORATION
Description
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 the information due to the cumulative effect of the incompleteness and distortion of accounting information from its enterprises. Under these conditions, the applied methods and tools must have high resolution and to work effectively with large databases with incomplete information, to ensure 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 poorly formalized complex 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 article compares methods of forecasting and encourages using the ask analysis which has a good theoretical justification for the meaningful interpretation of a knowledge model based on information theory; high accuracy and independence of calculation results of the unit of measurement baseline data through the use of not the correlation matrix, as in statistical systems, and matrices of knowledge. A well-developed and available Toolkit of the ASK-analysis which is an intellectual system called "Eidos" (created by E. V. Lutsenko, 1994) allows, on the basis of fragmented, noisy source data of various nature (numeric, text) to create models of large dimension. The ASK-analysis and the system of "Eidos" have been widely and successfully used in economics, engineering, agriculture, sociology and other fields. These features of the ASK-analysis have led to the fact that it was chosen as the method of forecasting of dynamics of indicators of the corporation
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Description
Small businesses play a special role in the development of the state economy: the national budget from taxes, increasing the welfare of the population, the question of employment, the formation of competitive environment, cost containment and improving the quality of goods and services. In this regard, become topical issues related to the creation of favorable conditions for the functioning and development of management tools and mechanisms of development of organizations of this segment of the economy. This work aims to identify the key problems of functioning of small business organizations through the assessment of the development of this segment in the economy of the Krasnodar region. For the evaluation of small business development in the Krasnodar region we used basic unit of economic analysis aimed at determining the major trends of change in number of organizations average number of employees, revenues, as well as a number of relative indicators in the whole segment and by major activities. It was determined that the number of small businesses in the Krasnodar region for three years practically did not change, whereas a decrease in the number of workers employed in this segment, revenue has a small tendency to increase. In the structure of the segment is dominated by micro-enterprises, 47% operate in the trade sector. Indicators of development of small business organizations meet the classification criteria in terms of revenue for microenterprises and their share in total number of companies this segment is 1%. The results of the study say the lack of a clear strategy from small businesses, due to unavailability of tools for its development, expressed the high value of the resource and, as a consequence, ignoring this question when organizing the activities of enterprises. Therefore, the question becomes more urgent the development of tools of business modeling and strategic planning adapted to the requirements of this segment
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Description
The article presents results of the study to assess the effectiveness of credit funds in interacting agricultural (AES) and processing (PP) agricultural enterprises. The conducted studies are a continuation of the scientific work on the development of mathematical models of interaction of the enterprises of the AES and PP, are shown in the articles [1, 2, 3]. This article presents the authors’ developed set of models of management of credit funds of interacting enterprises of an agroindustrial complex. It includes mathematical models of economic efficiency of agricultural enterprises considering the use of loan funds, as well as the assessment of the maximum amount of interest rate of the loan and the minimum selling prices of units of finished agricultural products; a mathematical model of the economic efficiency of the processing plant taking into account credit obligations of the agricultural enterprise and a model for the calculation of the minimum selling prices of its finished products; a mathematical model of the economic efficiency of the combined entity with all its loans. We have proposed a model to calculate the minimum selling prices of its finished products
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Description
This article describes the opportunities and prospects for the deployment of decision support system for the adequacy of the level of lending to small agricultural enterprises in the cloud environment. It reveals the shortcomings in the existing automation of small businesses, and therefore the necessity of developing a system to enable managers to quickly and correctly calculate the amount of required loan funds. The developed system has the ability to work remotely due to the lack of binding the user to a specific personal computer. It is implemented through the development of a DSS using cloud computing, in which computer resources are provided to the Internet users in the form of "online service". The article describes the architecture of popular models and cloud Webapplications; after that, it was concluded to use the Saas model with Multi-Tenant-mode support in the model development. The study provides an overview of the DSS functioning in the cloud. It has noted the main features of the software implementation of the system relating to the use of cloud technologies. We have calculated the cost of placing an application in the cloud via the online cost calculator called Microsoft Azure. We have also performed a preliminary assessment of the payback period of the project implementation of DSS. It is concluded, that this technology would be competitive at the software market
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STREAMING SCHEME OF THE INTEGRATED PRODUCTION SYSTEM FOR THE PROCESSING OF WHEAT GRAIN
Description
In the article, on the basis of the results of the study of cycles of use of grain, we proposed the streaming scheme of the integrated production system for the processing of wheat grain and also gave its detailed description
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