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
Examples of setting and solving of prognosis tasks and support of decision takings (management) for agro industrial holding on the base of its two-level semantic informational model are casted.
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
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
This article briefly describes the proposed by the authors mathematical models of the integrated production system for the processing of wheat grain, united in two blocks – the block of deterministic models and the block of stochastic and fuzzy models
In the article the main problem of management of agro industrial holding is generated and approaches to its decision are briefly reviewed on a basis of "management of knowledge", also a parity of data, information and knowledge, procedure of revealing of knowledge from data, a way of use of knowledge for forecasting and decision-making, stages of life cycle of the intellectual appendix and the basic results of application of the modern automated technology of management of knowledge - the Systemic cognitive analysis for management of agro industrial holding are examined
The article defines the problem and the points of socio-economic systems in the agro-industrial complex (APC) and proposes using automated system-cognitive analysis (ASCA). The solution to this problem is shown as an example of an integrated multi-industrial agricultural system (IMPI APC). Theoretical basis, mathematical model, technique of numerical calculations and software tools of ASC-analysis, and the main results and prospects of its application to control the
The article describes the research of two-level semantic information model of agro-industrial holding, which is correct to be considered as a research of the holding itself, as model verification has shown its high adequacy
In this article the initial data for construction of two-level semantic information model of agro-industrial holding management is analyzed, the problem of their automated transformation to a state which is directly perceived by the AIDOS system by means of one of its standard interfaces is raised and solved. The algorithm and a source text of the program ensuring these functions, and also the results of its work and automatically generated directories of classes and factors by the AIDOS system on their basis, and also training sample for the particular models forming a part of the two-level semantic information model of agro-industrial holding management are resulted
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