Name
Baranovskaya Tatyana Petrovna
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
—
Articles count: 65
The article considers an approach to managing the production process in agriculture based on modeling and evaluation of added value chains. The work has proposed a scheme of links for the production chain of added value creation that contains source control and financing cash flow which comes first in the link of agricultural production, then produced products are supplied to the accumulator, and from there it sequentially passes through the links of the value chain of the cyclic processing facilities, from which finished products are marketed and the resulting revenue is directed to the source of funding and management. We have given mathematical descriptions of the movement of financial and material flows in the links of the developed value chain, and mathematical models for calculating the volume of material and financial flows are proposed. Financial flows were also investigated to compensate for the cost of converting material flows and their mathematical descriptions. The article obtains a mathematical model of the economic efficiency of the production process and proposes a mathematical model for calculating the minimum price for socially significant processing products
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
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
The article describes the synthesis and verification of
statistical and system-cognitive models of the
influence of environmental factors on the quality of
life of the population of the region. This stage of the
ASC-analysis is performed in the system called
"Eidos". As a result, we have created and validated
(verification stage) all the specified systemic cognitive
models. It is expected that reliability for the models of
knowledge is sufficiently high for a given subject area,
that is why we can state the discovery of a dependence
of life expectancy and causes of death from
environmental conditions. Typically, knowledge
models are approximately 20% higher in accuracy than
statistical models, which operate on the principle of
positive pseudo-prediction. Making decisions based on
the model of Abs (matrix of absolute frequencies) is
not appropriate because of the different number of
instances of classes (generalized categories) and
dependence of the solutions of this amount. In the
model called Prc2 (conditional and unconditional
percentage distribution) the dependence of the model
values of the number of examples in classes has been
removed, but the accuracy of it is usually same low as
in the Abs. In addition, for decision-making based on
this model, one has to compare the values of
conditional and unconditional probabilities manually,
which is laborious and hardly possible for large
dimensional models. The knowledge model called
Inf3, based on a measure similar to the Chi-square, is
the result of the automated comparison of values of
conditional and unconditional probabilities presented
in the model of Prc1, which is similar to Prc2, and
usually has a fairly high accuracy, especially
considering the high complexity of the subject area,
which we simulated. Therefore, in accordance with the
technology of the ASC-analysis data conversion into
information, and afterwards - into knowledge, it is the
model of Inf3 which is planned to be used for the
solution of problems of identification, forecasting, decision-making and exploring the modeled subject
area, through the study of its models
The quality of life of the population of the region is an
important integral criterion of estimation of efficiency
of activity of regional administration. The most
important strategic sector of the economy of the
Krasnodar region is the agro-industrial complex (AIC).
This poses the problem of management of the quality
of life of the region through the use of as the control
factor of the volume and direction of investment in
agriculture
The performance indicators of a trading company in
physical and monetary terms is significantly affected
by the types and volumes of purchased and sold
products, and which she purchased suppliers and the
consumers sold. However, the solution to the problem
of choosing the rational range of products faces
considerable cost of computational and human
resources, and lack of baseline data, and in real
dimensions this problem has no solution. The paper
proposes such a solution is very economical in costs of
different types of resources based on the application of
information theory, cognitive and control theory
A diversified corporation is a highly complex multivariable dynamic system. The application of classical forecasting methods applied to such objects has encountered a number of difficulties, due to its economic nature. In the article, we substantiate the requirements to the forecasting method; on the basis of these requirements we can select the method and its software tool
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
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
Sustainability of enterprises plays an important role in the economic and social life of all industrially developed countries. Despite numerous publications devoted to the analysis of the sustainability of organizations, there are still ambiguous approaches to the methods of analysis for different authors. In addition, for companies of different industries, forms of ownership, geographically located in different regions of the border, the methods and indicators for assessing sustainability can vary considerably. In this connection, there is a need to develop a decision support system that would allow the most efficient assessment of the sustainability of the largest possible range of enterprises, with the possibility of adjusting and flexibly tuning as many parameters as possible. The article describes the architecture and algorithm of the DSS, which implements the following model of initial data generation in its functional; Model of formation of a tree-like structure of groups of indicators on the basis of which the stability is assessed; Model for specifying the fuzzy sets belonging to the recommended values of the indicators; Model for calculating the values of groups of indicators and their fuzzy estimates; The model of graphical interpretation of the organization's sustainability assessment. The developed system was tested on the basis of the company called Antey LLC