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 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
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
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
This article presents the results of research of stream-ing scheme of interaction between agricultural (AGC) and processing (PP) agricultural enterprises which were developed by the authors of the mathematical model for calculation of economic efficiency of AGC circuits and PP, as well as for the calculation of economic efficiency of the companies in case of their association
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
In the article, we perform an analysis of socioeconomic
activities of consumer cooperation of the
Krasnodar region. The result was determined by actual
range of problems of development of the existing
system. One of the key sectors of activity of consumer
cooperation is the bakery, where today there is an
unstable situation. Interviewing the managers and
employees of the Regional Union of Consumer
Societies of Krasnodar, enterprises of the bakery of the
system allowed us to determine that the main reason
for this situation is a poorly developed strategy of
development. To develop recommendations for
strategic development of the baking industry of
consumer cooperatives we have conducted a SWOTanalysis
based on identifying strengths, weaknesses,
opportunities and threats, assessment of potential
opportunities and threats and structuring strengths and
weaknesses. Quantitative evaluation of factors in the
matrix of SWOT-analysis experts were conducted by
involving practitioners and scientists in related fields.
The processing of research results was carried out with
the use of the instrumental medium called "extended
SWOT matrix 1.0". As a result, the research has
conclusions and gives recommendations for the use of
the strengths of enterprises to overcome the possible
threats, use the opportunities to strengthen weaknesses.
The proposed creation of a single logistics system that
will have a positive impact on the consolidation and
expansion of assortment and the range of services
provided, improve the product, change advertising
technologies, build your brand, will allow us to enter
new markets, increase production volumes of
enterprises of bakery industries of system of consumer
cooperation of the Krasnodar region
In this article, in accordance with the methodology of SC analysis, we consider particular implementation stages of the synthesis of the numerical model and its analysis. We have also presented the results of the determination of the different states of the processing complex function of various factors on these states and their classification, as well as semantic networks and cognitive class diagrams and factors. On the basis of the analysis we made specific findings and recommendations for decision making at the management level of the region. After execution of the stages of cognitive structuring and formalization of the subject area the further stages of automated SC analysis have been accomplished, the first of which is the phase of the input database of precedents. All these steps are performed directly using "Eidos" universal cognitive analytical system
In this article, in accordance with the methodology of
the Automated system-cognitive analysis (ASCanalysis),
we examine the implementation of the 1st
and 2nd stages of ASC-analysis: cognitive structuring
and formalization of the subject area. At the stage of
cognitive structurization of subject area, researchers
decide what to consider as the object of modeling, the
factors affecting it and the results of their actions. In
accordance with the results of the cognitive structurization,
we prepare the initial database for the study
(training sample or case-based reasoning). At the stage
of formalization of the subject area, the base of the
original data is being normalized, i.e., we develop
classification and description: the scale and graduations
and with their use the base of the source data is
being encoded. The result is a database of events
(eventological database) and the training sample. The
stage of cognitive structuring and preparation of the
source data is not formalized and the formalization of
the subject area is fully automated and performed directly
with the use of the universal cognitive analytical
system named "Eidos", which is a software Toolkit for ASC-analysis. Stages of cognitive structurization and
formalization of the subject area of ASC-analysis are
the first steps of data conversion into information and
into knowledge. Subsequent steps: the synthesis and
verification of system-cognitive model, the decision of
problems of identification, forecasting and decision
making, as well as studies of the modeled object by
studying its model will be considered in future articles
In this article, in accordance with the methodology of
the Automated system-cognitive analysis (ASCanalysis),
we examine the implementation of the 3rd
ASC-analysis: synthesis and verification of forecasting
models of development of diversified agro-industrial
corporations. In this step, we have synthesis and verification
of 3 statistical and 7 system-cognitive models:
ABS – matrix of the absolute frequencies, PRC1 and
PRC2 – matrix of the conditional and unconditional
distributions, INF1 and INF2 private criterion: the
amount of knowledge based on A. Kharkevich, INF3 –
private criterion: the Chi-square test: difference between
the actual and the theoretically expected absolute
frequencies INF4 and INF5 – private criterion:
ROI - Return On Investment, INF6 and INF7 – private
criterion: the difference between conditional and unconditional
probability (coefficient of relationship).
The reliability of the created models was assessed in
accordance with the proposed metric is similar to the
known F-test, but does not involve the performance of
normal distribution, linearity of the object modeling,
the independence and additivity acting factors. The
accuracy of the obtained models was high enough to resolve the subsequent problems of identification,
forecasting and decision making, as well as studies of
the modeled object by studying its model, scheduled
for consideration in future articles