194100 Saint Petersburg,
3 Kantemirovskaya Street, Room 303
The Department of Logistics and Supply Chain Management was established in 2014. It is part of the School of Economics and Management at HSE St. Petersburg, a ‘big faculty’ that brings together economists and management specialists.
Teachers in the department support both the Bachelor’s programme in Logistics and Supply Chain Management and the Master’s programme in Strategic Supply Chain Management.
Yury Iskanderov, Pautov M.
Vol. 2. Springer, 2018.
Serova E., Шкляев Д. О.
International Journal of Simulation and Process Modelling. 2021. P. 1-14.
Lukinskiy V., Lukinsky V., Sokolov B. et al.
In bk.: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems: IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings. Prt. 1. Switzerland: Springer, 2021. P. 447-454.
Seminar of the Honored Scientist of the Russian Federation, Ordinary Professor, Doctor of Technical Sciences Lukinskiy Valery Sergeevich for the Department of Operational Management and Logistics of the Graduate School of Business, National Research University Higher School of Economics (Moscow)
On January 27, 2021, Valery Sergeevich Lukinskiy, Head of the Department of Logistics and Supply Chain Management spoke at a scientific seminar organized by the Department of Operations Management and Logistics of the Higher School of Business, National Research University Higher School of Economics (Moscow), with a report on the topic "Formation of modeling a combined forecast of reserves with rare demand."
The seminar was moderated by Professor Sergey Pavlovich Kushch, Head of the Department of Operational Management and Logistics at the Higher School of Economics, National Research University Higher School of Economics (Moscow).
The seminar presented an analysis of works on rare demand; shows the results of one and two-dimensional classifications of reserves; the boundaries of the use of the optimal order quantity (EOQ) model in inventory management strategies have been determined; approaches to calculating stock indicators with rare demand, a model for combined forecasting of time series related to rare demand and an algorithm for estimating the parameters of forecasting a stock at rare demand are proposed; to test the proposed methods for assessing the indicators of stock consumption with a rare demand, calculations for various time series are presented.
The materials of the report caused a lively discussion among the participants of the seminar and a wish was expressed to organize similar events in the future.
Those interested can familiarize themselves with the materials presented at the seminar in more detail in the publication: Lukinskiy, V., Lukinskiy, V., Sokolov, B. (2020) Control of inventory dynamics: A survey of special cases for products with low demand. Annual Reviews in Control, 49, 306-320.