Name
Baranovskaya Tatyana Petrovna
Scholastic degree
•
Academic rank
professor
Honorary rank
—
Organization, job position
Kuban State Agrarian University
Web site url
—
Articles count: 65
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 the article we present the analysis of the market of public catering of the Russian Federation, the Krasnodar region. The role of public catering organizations in the total volume of activity of Krasnodar Krajpotreb-sojuz and the terms of socio-economic development of the Krasnodar region has been shown? As well as the modeling of business processes of public catering organizations. We have also revealed shortcomings in the organization of business processes and suggested ways of further studying of identified deficiencies
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
The article describes basic principles and the results of
modeling the business architecture of the company on
the example of the subsystem sales of integrated
corporate structures. As the object of investigation we
have chosen the company called Dinskoy Meatprocessing
complex, which is part of Southern
diversified Corporation. The main artifacts of the
conducted research are: graphical layout of business
processes of a subsystem of the sales made in the
instrumental environment of All Fusion Process
Modeler (BPWin) and developed a model of
decomposition of business processes, a model of
business event, a model for the location of functions
and integration model, and to evaluate the relationship
between the business processes with the strategic
direction of the organization. The source data for the
study were collected by conducting a special survey of
the organization within which the surveys were
conducted, and interviewing of managers and
employees of relevant structures of the research object,
the study of local normative documents, regulations on
departments, job descriptions, etc. The resulting set of
artifacts of business architecture can be used further in
the process of re-engineering business processes,
developing indicators for the effectiveness functions,
business processes, organization, and development of
requirements for the application systems that automate
the processing of data and development of subsequent
domains of enterprise architecture
The article presents the architecture of decision
support system for the adequacy of the level of lending
to small agricultural companies, which implements in
its functionality the complex of models: the
optimization of selling price of products, the efficiency
mark for using of credit funds of single-product and
multi-product companies by determined and fuzzy
methods, assessment of the system stability of the
enterprise. The system has the ability to work remotely
using cloud computing, in which computing resources
provided by the Internet users in the form of "online
service". The article substantiates the need for the
development of decision support systems for the
adequacy of the level of lending to small agricultural
enterprises. We have compiled requirements for the
development of an appropriate system and identified a
set of models to be implemented in the DSS ,
described the relationship between them and the
technique of working with them. We have also defined
names of the input and output data at various stages of
working with the DSS as well as the generalized
algorithm of the system. Based on the above, the
article proposes and describes the architecture of
decision support system. It is concluded, that the DSS
is an interactive automated system that uses a model of
decision-making, providing users with efficient access
to data and provides them with a variety of
opportunities to display information
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 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
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
To develop detailed and effective business model of
bakery enterprises of consumer cooperation it is
necessary to have knowledge on strategic goods
displayed on a busy segment of the market, not only in
volumetric terms, but in the parameters that
characterize the stability of sales or consumption. The
particular relevance of this study reveals in modern
conditions of functioning. The outcome of the baking
enterprises of consumer cooperatives is more than 760
tons per day, distributed between 41 baking enterprise
producing more than 300 kinds of products. Of course,
the information on quantitative and qualitative
characteristics of the strategic positions of the range
will be a key in making managerial decisions about the
production of the program, resourcing, turnover, etc.
To solve the problem we have chosen the method of
ABC - and XYZ-analysis of assortment of production,
based on the criteria of ease of use and breadth of the
resulting information. As a result of the application of
the methods of ABC and XYZ-analysis and combining
the obtained results, we present a classification of the
range of the baking enterprises of consumer
cooperation product based on the criteria of the
contribution of commodity positions in revenue and
stability of sales