Scientific Journal of KubSAU

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

Kolosova Nataliya Sergeyevna

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: 2

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 385
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
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CONSTRUCTING A MATHEMATICAL MODEL OF PRICING FOR REAL ESTATE IN KRASNODAR

abstract 1311707098 issue 131 pp. 1181 – 1191 29.09.2017 ru 396
This study proposes a method of determining the cost of 1 sq. m. apartment on the example of Krasnodar, which is especially important in connection with the necessity of reliable and valid assessment of the property value in a modern market economy. We have performed an analysis of data on apartments in Krasnodar from the site of the Regional Energy Commission - prices and tariffs department of the Krasnodar region. We have also had an exploratory analysis of available data on the subject of emissions and insignificant data (by constructing line graphs and scatter plots); we have also checked for possible dependencies between observations and between variables (built correlation matrix). We have selected variables is linear, the regression model for the variable "cost of 1 sq. m the total area, ths. rub. "(multiple regression). Using regression analysis as a method of mathematical statistics we have revealed a form of analytical dependence of the result of the predictor variables and the degree of this dependence
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