Name
Makarevich Oleg Aleksandrovich
Scholastic degree
•
Academic rank
associated professor
Honorary rank
—
Organization, job position
Maikop State Technological University
Web site url
—
Articles count: 30
This article reveals the outcomes of decomposition of management system of southern diversified corporation (UMK) by building-up of a tree of the purposes and functions of system and carrying out its cognitive analysis
In the article we have considered the concept of integrated corporate structures, the term of "corporation", "holding"; we have proposed the evaluation of their development in the Krasnodar
region. The review of current management problems in agro-industrial holding was provided as well as the choice of directions of improvement of management, which is the basis for the integrated management techniques for integrated corporate structures of such forms, on the example on "Southern Diversified
Corporation" agricultural holding
In the article the management problem of agro-industrial holding is formulated in a general way, which is, on the one hand, it is necessary to produce recommendations about holding management, where its adaptive model is necessary, and, on the other hand, the construction of its model is inconvenient because of high complexity and dynamism of internal logistics of the object of management, its territorially distributed and diversified character, a large quantity of the economic indicators characterizing its activity at various levels of its organization. The general method of the decision of the formulated problem by using the systemic cognitive approach is offered
Management problem of agro industrial holding is formulated in the article in general, from one hand, it is necessary to work out recommendations and adaptive model on holding management for it, and from other hand, designing of its model is difficult because of high complexity and dynamics of inner logistics of an management object, its territorially distributed and multi branch character, large amount of economic indexes, characterizing its activity on different levels of its organization. General method of formulated problem decision by means of systemic-cognitive approach is offered. First stage of model synthesis is described: cognitive structure formation of private models, entering its multi-level semantic information model.
Methodology of using systemic cognitive analysis for building multi-level semantic information model of agro-industrial holding management is formulated in the article in general. Based on this, solutions of forecasting problems and support of decision-making process of management and scientific researches are listed
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
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
Sense of semantic information model SC- analysis is described on the simple example in the article. Results of synthesis and verification of systems of individual models, entering the two-level semantic information management of agro industrial holding.
In the article on a simple example the sense of semantic information model of the systemic cognitive analysis is described. Results of synthesis and verification of system of the particular models forming a part of the two-level semantic information model of agro-industrial holding management are listed
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