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Regular version of the site

26 Shabolovka Ulitsa, Building 4

Moscow, 119049, Russia

Phone: (495) 771 32 58

Email: info@mclog.ru

Head of the School Valentina Dybskaya
Academic Supervisor Viktor Sergeyev
First Deputy School Head Alla V. Fel
Deputy Head of the School Ivan Elyashevich
Deputy Head for Research and Student Affairs Denis Gusev
Deputy Head of the School Tamara Levina
Deputy Head for International Relations Andrey Vinogradov
The Influence of Digital Technologies on Regional labour Market Structure (The Case of St Petersburg)

Grigorian M., Zhuravleva N. A., Riet K. G.

Advances in Economics, Business and Management Research. Published by Atlantis Press. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).. 2019. Vol. 83. P. 442-446.

Book chapter
Agent-Based Modelling and Simulation of Inter-Organizational Integration and Coordination of Supply Chain Participants

Sergeyev V., Lychkina N. N.

In bk.: 2019 IEEE 21st Conference on Business Informatics (CBI). Vol. 2. IEEE Computer Society, 2019. P. 436-444.

Working paper
Improving Transport Infrastructure in Russia

Kolik A.

OECD Economics Department Working Papers. ECO/WKP. Organisation for Economic Co-operation and Development, 2015. No. 1193.

Congratulations on candidate thesis defense to lecturer of Department of logistic infrastructure management Ivan Shidlovskiy!

On January 23, 2018 the candidate thesis defense of lecturer of Department of logistic infrastructure management Ivan Shidlovskiy took place. The subject of work is "Improvement of Stockpile Management of Batch Freights", the research supervisor - Dr.Sci.Tech., professor Victoria Darabovna Gerami.

I.G. Shidlovsky has developed new approaches to optimization of stockpile management and transport service of deliveries of batch freights to decrease logistic costs. Mono- and multinomenclature EOQ models are developed taking into account the following factors: weight and dimensional characteristics of freight, loading capacity/tonnage of vehicles for various quantity and sets used for discounts for the delivery cost, including assessment of profitability of working capital of the modelled deliveries for accounting of the concept of temporary value of money. Necessary and sufficient conditions for a new class of effective EOQ models are established. New optimization algorithms for mono- and multinomenclature deliveries of batch freights are created. Developments presented in the dissertation research allow lowering the joint logistic costs while delivering batch freights. The offered developments can be applied by various participants of supply chain.