name
Makarevich Oleg Aleksandrovich
Scholastic degree
•
Academic rank
associated professor
Honorary rank
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Organization, job position
• Maikop State Technological University
доцент
Research interests
Управление агропромышленным холдингом с применением технологий искусственного интеллекта
Web site url
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Current rating (overall rating of articles)
0
TOP5 co-authors
Articles count: 30
Сформировать список работ, опубликованных в Научном журнале КубГАУ
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Description
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
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Description
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
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Description
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
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Description
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
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Description
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
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Description
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
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STREAMING SCHEME OF THE INTEGRATED PRODUCTION SYSTEM FOR THE PROCESSING OF WHEAT GRAIN
Description
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
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Description
This article gives examples of raising and solving the problems of forecasting and decision-making (management) support for agro-industrial holding on its two-level semantic information model basis
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AGRO-INDUSTRIAL HOLDING INITIAL DATA AND THE PROGRAM INTERFACE OF DATA STANDARDIZATION
Description
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
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Description
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.
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