Scientific Journal of KubSAU

Polythematic online scientific journal
of Kuban State Agrarian University
ISSN 1990-4665
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Name

Bagdasaryan Rafael Khachikovich

Scholastic degree

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Academic rank

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Honorary rank

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Organization, job position

Kuban State Technological University
   

Web site url

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Email

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Articles count: 3

269 kb

THE ISSUE SEARCH FOR THE BEST METHODS OF SELECTING THE OPTIMAL POLICY REPLACEMENT VEHICLE FLEET

abstract 1291705018 issue 129 pp. 218 – 217 31.05.2017 ru 381
This article analyzes the best practices of choosing the optimal policy for replacement of vehicle fleet. The problem of replacement equipment was revealed. For each of these methods we gave objective function, constraints. We have found the best method of optimal plan of replacing the vehicle fleet in the company, allowing us to obtain accurate, economically viable new equipment purchase plan during a certain period. We have selected a number of important factors that influence the choice of payment method replacement policy and built PivotTable methods and factors. The selected as part of the research methodology will significantly reduce the labor and time, which will lead to an increase in productivity of the enterprise as a whole. The article gives a practical justification for the need to address the problem of choosing the optimal policy of replacing the vehicle fleet
261 kb

THE TECHNIQUES FOR OPTIMAL CONFIGURATION SELECTION AND STRUCTURING OF DISTRIBUTED INFORMATION SYSTEMS FOR COLLECTING AND STORING HISTORICAL DATA FROM MULTIPLE DATA CENTERS

abstract 1031409087 issue 103 pp. 1255 – 1266 30.11.2014 ru 984
The article discusses the methodology of optimal configuration selection and structuring of distributed information systems for collecting and storing historical data from multiple data centers
455 kb

TO THE QUESTION OF RELIABILITY IMPROVEMENT FOR COLLECTING AND STORING HISTORICAL DATA

abstract 1011407162 issue 101 pp. 2412 – 2426 30.09.2014 ru 1273
The article deals with improving the reliability of data collection and storage of historical data. Investigated the reliability of collecting historical information, the technique, allowing on the basis of general logical and probabilistic methods to identify the most important elements to increase the reliability of which will sig-nificantly increase the reliability of the whole system
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