Scientific & Practical Journal
Editorial News
Dear readers! The first half of the year is approaching, which means that on the pages of the fifth issue of the magazine you will find a lot of useful analytical materials on the markets of warehouse real estate, cargo transportation, etc. Our authors Yu.V. Klimenko, M.G. Grigoryan, R.N.
Dear readers! We present to your attention the fourth issue of the LOGISTICS journal. By tradition, in the April issue we summarize the results of TransRussia | SkladTech 2025. This year, the exhibition attracted a record number of exhibitors and over 30,000 visitors. Under the heading "non-economic activity", we are posting an interesting article by A.V. Efimov on the prospects for the development of non-primary non-energy exports from Russia to Vietnam.
Dear readers! We present to your attention the third issue of the LOGISTICS journal. First of all, we would like to draw readers' attention to our new partner R1 Development, a development company that creates a new generation environment and specializes in the construction of industrial, logistics, commercial and residential real estate. One of the projects of R1 Development is the Druzhba industrial park network.
PHOTO OF THE WEEK
CITATIONS
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Spare parts supply problem for the motor-transportation companies and approaches for this issue solving
Andrey Bochkarev, Daria Zamaletdinova11 / 2015 | MANAGEMENT
The article is devoted to use of methods in delivery and inventory management in transport companies. It is known that poor inventory management leads to two problems: illiquid assets and deficit. In transport companies both of these problems lead to significant costs, therefore an urgent need for developing an optimal policy of inventory management is particularly acute. The paper presents examples of inventory stocks parameters calculations based on various methods and their comparative analysis.
Key words. Supply logistics, transport companies, methods of inventory stocks management, Poisson's distribution, parameter calculations, stochastic programming.
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