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In this paper the activity of Russian mining companies is analysed in terms of global market’s trends, pricing policies, full-cycle production from extraction and preparing iron ore and to its deep processing, and as well as sustainable development. The pricing policy of the Federal Antimonopoly Service of the Russian Federation is criticised: monopolists in metal and mining industry sell its production in the domestic market based on the LME prices expressed in USD. The dynamics of the LME Official Prices Cash Seller & Settlement for aluminium and zinc is explored and described. The authors focus on the effect of “double volatility” of prices for ingots connected with low addedvalue goods as well as the USD/RUB exchange rate. There is no connection between production and research, which undermines stable development of the mining industry. The main reason for the foundation of The Russian Aluminium Association is discussed. In the conclusion, it is emphasised that the Russian government will have to review its policy in regulating the mining industry and switch to import substitution because of the current political and economic situation on the global metal markets.

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This paper is concerned with a dynamic inventory control system described by a network model where the nodes are warehouses and the arcs represent production and distribution activities. We assume that an uncertain demand may take any value in an assigned interval and we allow that the system is disturbed by noise inputs. These assumptions yield a model with a mix of interval and stochastic demand uncertainties. We use the method of model predictive control to derive the control strategy. To deal with interval uncertainty we use the interval analysis tools and act according to the interval analysis theory. The developed results are illustrated using a numerical example.