Современный статистический инструментарий и его приложение к проблемам логистики России (на примере складского сектора Московского региона)
The article illustrates the potential of application of modern statistical instruments to the analysis of logistics problems of Russia. The authors studied theoretical and methodological develop-ments devoted to the problem: structural models, ARIMA-approach, statistical process control as a part of 6σ. Contemporary quantitative methods were used to analyze the warehouse complex of Moscow region. The article is backed by a large number of Russian and foreign sources used, which allows to consider it as sufficiently reasoned and objective.
In the article author propose approach to client's base generation based on decision tree method. This approach allows taking into account requirements to optimization of customers' selection based on several criteria. Method is illustrated on Logistics Company.
For the first time the new approach to effective modification of traditional criteria of multi-criteria optimization in supply chain management and logistics systems is offered. The approach uses processes of analytical hierarchy. It is illustrated as expansion of toolkit of decision-making accessible to the manager, and opening possibilities of elimination of undesirable phenomena of an inadequate choice in a format of multi-criteria problems in logistics.
The authors propose new approach to self-organization of complex distributed systems in logistics. That approach is based on combination of multi-agent paradigm with constraint satisfaction techniques. The proposed solution expresses major features of Swarm Intelligence approach and replaces traditional stochastic adaptation of the swarm of the autonomous agents by constraint-driven adaptation.
The paper examines the structure, governance, and balance sheets of state-controlled banks in Russia, which accounted for over 55 percent of the total assets in the country's banking system in early 2012. The author offers a credible estimate of the size of the country's state banking sector by including banks that are indirectly owned by public organizations. Contrary to some predictions based on the theoretical literature on economic transition, he explains the relatively high profitability and efficiency of Russian state-controlled banks by pointing to their competitive position in such functions as acquisition and disposal of assets on behalf of the government. Also suggested in the paper is a different way of looking at market concentration in Russia (by consolidating the market shares of core state-controlled banks), which produces a picture of a more concentrated market than officially reported. Lastly, one of the author's interesting conclusions is that China provides a better benchmark than the formerly centrally planned economies of Central and Eastern Europe by which to assess the viability of state ownership of banks in Russia and to evaluate the country's banking sector.
The paper examines the principles for the supervision of financial conglomerates proposed by BCBS in the consultative document published in December 2011. Moreover, the article proposes a number of suggestions worked out by the authors within the HSE research team.