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Contacts

3 Bolshoy Tryokhsvyatitelsky Pereulok

Phone: (495) 771 32 58

Email: info@mclog.ru

Administrations
School Head Valentina Dybskaya
Academic Supervisor Viktor Sergeyev
Deputy Head for Research Victoria Gerami
Deputy Head for Student Research Denis Aleksandrovich Gusev
Deputy Head for Prospective Student and Alumni Affairs Tamara Levina
Deputy Head for International Relations Andrey Vinogradov
Deputy Head for Academics Alla V. Fel
Article
Oil refining and delivery in the Western European region

Klepikov V. P., Klepikov V.

International Journal of Energy Sector Management. 2019. Vol. 13. No. 2. P. 467-482.

Book chapter
The Analysis of Logistics and Supply Chain Management Organizational Structures on Russian Market

Sergeyev V.

In bk.: Reliability and Statistics in Transportation and Communication Selected Papers from the 18th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’18, 17–20 October 2018, Riga, Latvia. Iss. 68. Switzerland: Springer, 2019. P. 389-406.

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.