Статья 'Методы формирования складской инфраструктуры региона' - журнал 'Тренды и управление' - NotaBene.ru
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Методы формирования складской инфраструктуры региона

Popov Pavel

PhD in Technical Science

 
Docent, the department of Applied Mathematics and Informatics, Volzhsky Institute of Humanities of Volgograd State University
 

404133, Russia, Volgograd Oblast, Volzhsky, 40 Let Pobedy Street 11, office #10

donpascha@yandex.ru
Miretskii Igor'

Doctor of Technical Science

Professor, the department of Applied Mathematics and Informatics, Volzhsky Institute of Humanities of Volgograd State University

404133, Russia, Volgograd Oblast, Volzhsky, 40 Let Pobedy Street 11, office #10

igor.miretskiy@gmail.com
Loginova Elena

Doctor of Economics

Professor, the department of Economic Theory and Management, Volzhsky Institute of Humanities of Volgograd State University

404133, Russia, Volgograd Oblast, Volzhsky, 40 Let Pobedy Street 11, office #10

loginov1466@mail.ru

DOI:

10.7256/2454-0730.2016.4.21120

Received:

17-11-2016


Published:

13-01-2017


Abstract: The subject of this research is the regional logistics infrastructure in the Russian Federation. The objects of this research were 6 urban okrugs and 33 municipal districts of Volgograd Oblast. Possible placement of the distribution and sorting depots are chosen for the establishment of efficient logistics infrastructure of the region. The foundation for selection of the locations consists in the main socioeconomic indexes of Volgograd Oblast. Among such indexes are those, which crucially influence the determination of location of the regional warehouse chain. The work provides the quantitative assessment of the level of their impact. The authors conclude that it is necessary to place the distribution and sorting depots in the following urban okrugs: Volzhsky, Kamyshin, Mikhaylovka, Gorodishensky, Zhirnovsky, and Kotelnikovsky. “Trucking cargo turnover” and “Fixed capital” should also be considered as indexes that significantly affect the selection of location for the regional warehouse chain.


Keywords:

key socioeconomic indexes, two-step cluster analysis, logistics infrastructure, regional warehouse chain, warehouse chain, optimization, backbone warehouse chain, discriminant analysis, canonical function, coefficients of discriminant variables

References
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