Scientific & Practical Journal
Editorial News
Dear readers! The tenth issue of LOGISTICS journal opens with a large article dedicated to the results of the BRICS Business Forum, held on October 18, 2024 in Moscow. Yulia Kislova, Director of Agency Market Guide LLC and publisher of LOGISTICS journal, attended the event and prepared an article where she paid special attention to international trade and logistical connectivity of the countries of the association. The details are in the room.
Dear readers! We present to your attention the ninth issue of the Logistics magazine, in which we have collected and combined relevant materials. On the pages of the new issue, we paid close attention to the personnel problem. You will be interested in SuperJob's research on changes in demand for personnel over the year, salaries of truck drivers and warehouse staff. Our author V.S.
Dear readers! First of all, we would like to welcome all participants of the grand industry event – the CeMAT RUSSIA exhibition, which will be held from September 17 to 19, 2024, in Moscow, Crocus Expo IEC, Pavilion 1. LOGISTICS magazine will be presented at the event, we invite you to our stand C309, where you can get acquainted with the latest issue of the magazine and find out the terms of cooperation with the editorial office.
PHOTO OF THE WEEK
CITATIONS
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Assessment of the probabilistic demand for goods in frames of the model of warehouse infrastructure formation in the territory of a subject of the Russian Federation
Pavel Popov, Olga Tsekhan10 / 2019 | INFRASTRUCTURE
Annotation. The article provides a model for the formation of warehouse infrastructure in the region of the Russian Federation. The model takes into account the possibility of delivering goods on various types of carriers. The model allows you to determine the optimal location of the network of distribution and sorting warehouses in the territory of the subject of the Russian Federation, taking into account the probabilistic demand for goods.
Key words. Warehouse infrastructure, distribution and sorting warehouses, stochastic model, probabilistic demand.
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