Innovative Approach to the Development of the Logistics System of Supply of the Arctic Region Space
Mikhail Nikolayevich Dudin,
Natalia Pavlovna Ivashchenko,
?vgenia ?vgenevna Frolova,
Aslan Huseynovich Abashidze and
Anait Sergeevna Smbatyan
Additional contact information
Mikhail Nikolayevich Dudin: Russian Presidential Academy of National Economy and Public Administration, 82, Vernadsky prosp., Moscow 119571, Russian Federation,
Natalia Pavlovna Ivashchenko: Lomonosov Moscow State University, GSP-1, Leninskie Gory, Moscow 119991, Russian Federation,
?vgenia ?vgenevna Frolova: P??ples Friendship University of Russia (RUDN University), 6, Miklouho-Maclay Street, Moscow 117198, Russian Federation
Aslan Huseynovich Abashidze: P??ples Friendship University of Russia (RUDN University), 6, Miklouho-Maclay street, Moscow 117198, Russian Federation
Anait Sergeevna Smbatyan: ANO Centre of Expertise for the World Trade Organization, 8/1, Pokrovsky Boulevard, Moscow 109028, Russian Federation.
International Journal of Economics and Financial Issues, 2016, vol. 6, issue 4, 1965-1972
Abstract:
This article reviews the basic methodological approaches to the arrangement of the logistics supply of manufacturing, research or tourism facilities based in the Arctic. The main purpose of this article was to optimize the processes of supply the Arctic territories with the use of high-tech approach, which integrates the concept of green logistics technology (reverse logistics, in particular) and methods of economic and mathematical modeling for inventory management and planning the purchase of resources necessary to ensure the proper functioning of the Arctic facilities. Taking into account the fact that the Arctic holds interests of many countries and corporations, as well as taking into account the fact that further development of the Arctic must be environmentally responsible, the integration of traditional and new approaches to the arrangement of supply of the Arctic facilities through the use of reverse logistic technologies of economic and mathematical modeling using the correlation-regression analysis were proposed.
Keywords: Arctic; Supply Logistics; Reverse Logistics; Correlation-regression Analysis; Ecosystem; Environmental Responsibility (search for similar items in EconPapers)
JEL-codes: Q28 Q57 (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:eco:journ1:2016-04-88
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