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
The article summarizes the results of a study devoted
to the solution of actual problems of management of
corporate integrated structures. Among the significant
scientific results are presented: methods of evaluating
the development of corporate integrated structures of
the agro-industrial sector operating in the absence of a
legislative base; substantiation of actual problems of
management of corporate integrated structures on the
example of a typical representative of this sector of the
economy and developed a multi-tasking method of
system analysis, directions for solving the identified
problems; methods and models of design of control
system corporate integrated structures and alternative
options for organizational structures, their evaluation
based on the use of methods of mass service theory
and the choice of variant by criterion the average time
of document management system; developed the
organizational-economic mechanism of strategic
planning and a set of interrelated models obtained
using the method of systemic-cognitive analysis,
which allows on the basis of the accumulated
information on the activities of the organizations
included in the corporate integrated structures to
obtain the predicted values of the system indices when
setting the target value of one of them; methods of
control of the chain of value creation, allows us to
develop structures of integrated systems with
allocation in them of financial and material flows, and
improved models for assessing effectiveness and
calculating the parameters of technologically complete
industrial chain and optimization model of the volume
of material flow
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 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 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, the routine of synthesis of four models of the corporation, different by frequent measure of correlation between past indexes of the factories entering into corporation and the future statuses of corporation as a whole is featured, verification of all private models with utilization of two integral measure is fabricated, forecasting of the future statuses of corporation on their system of determination is performed
The article suggests a mathematical model of optimization of the volume of material flows: the model for the ideal conditions; the model for the working conditions; generalized model of determining the optimal input parameters. These models optimize such parameters of inventory management in technology-integrated grain production systems, as the number of cycles supply, the volume of the source material and financial flows. The study was carried out on the example of the integrated system of production, processing and sales of wheat (bread) with the full technological cycle
In this article, the problem of short-range forecasting of value and dynamics of economical indexes of diversified corporation is stated, on the basis of application of systemic-cognitive analysis and its tooling (intellectual system "Eidos") the formal problem definition and data domain formalization, i.e. development of classification and descriptive dials and graduations and shaping of training sample is performed
The article shows the outcomes of the solution of the problem of making of complex determined and sto-chastic models for optimizing such arguments of in-ventory management in technologically integrated manufacturing system, as an amount of cycles of deliveries, bulks of initial material and financial streams, safety stock bulks. Examination was con-ducted on a federated system instance on produc-tion, rehash and embodying of commodity from grain wheat (corn) with complete fabrication cycle
In the article, the results of investigation of technolo-gical (vertical) integrated production are listed. Ma-thematical models of the estimation of economic effi-ciency and system (synergistic) effect of integrated production systems are examined
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