Averaging and mixing
Автор: Mazurov Vl.D., Polyakova E.Yu.
Рубрика: Краткие сообщения
Статья в выпуске: 4 т.18, 2018 года.
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The article is devoted to the explanation of the role of averaging and mixing in applied problems in technology and economics. The article provides the examples of applied problems solved at the Mathematical Programming Department of the N.N. Krasovskii Institute of Mathematics and Mechanics and at the department of Econometrics and Statistics of the Graduate School of Economics and Management of the Ural Federal University named after the First President of Russia B.N. Eltsin. These are the problems in geology, mining and metallurgy, placement and development of enterprises which were traditionally solved in the Urals. Besides, the problems in planning and operational management at ore-dressing and processing enterprises were solved. A new wave of operational management at enterprises started at the beginning of 2000’s should be noted. This operational management applied the committee method. Being mathematicians, we specified certain inaccuracies in publications made before 1990 on this subject. It is noteworthy that the principal performers of this research - the research workers of the Mathematical Programming Department - were awarded with the medals of Exhibitions of Economic Achievements of USSR. The set of research done by N. Bourbaki’s seminar participants was devoted to averaging and mixing. In general, the research performed at the Mathematical Programming Department and in N. Bourbaki’s seminar provided a better understanding of material averaging and activity combination processes. Modern applied research requires a more detailed solution substantiation in terms of pragmatics that was also noted in the article. When solving these problems a method of committee construction was applied. This is also a fundamentally important approach to solving incompletely formalized problems of optimal decisions.
Charge mixture properties, composites, mixtures, committees, diagnostics, stability, selection, interpretation, statistics, balance
Короткий адрес: https://sciup.org/147232211
IDR: 147232211 | DOI: 10.14529/ctcr180413
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