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EXPERIENCE OF MINING AND PROCESSING TECHNOLOGY AND EQUIPMENT IMPROVEMENT AND ARRANGEMENT
ArticleName Statistical analysis of productiveness of mining and transportation machinery – the foundation of the successful investment management
DOI 10.17580/gzh.2017.05.14
ArticleAuthor Rakhmanin M. V., Rasskazov V. A., Malyutin S. S., Kladova M. A.
ArticleAuthorData

Lebedinsky GOK, Gubkin, Russia:

M. V. Rakhmanin, Leading Specialist of Chief Miner Group at Technical Department, rahmanin_m_v@lebgok.ru
V. A. Rasskazov, Head of Production and Analysis Department

 

Metalloinvest Management Company LLC, Moscow, Russia:
S. S. Malyutin, Head of Production Engineering Analysis Department
M. A. Kladova, Chief Specialist of Production Engineering Analysis Department

Abstract

Modern business environment calls for high innovation activity of corporate management. The investment management, in its turn, should rest upon the reliable prediction of performance of mining and transportation machines. In terms of Lebedinsky GOK, the authors have assessed key engineering factors and operational parameters of mining and transportation machinery with a view to revealing new approaches to the objective evaluation of the equipment productiveness and its history with regard to aging over the period of operation. It is found how the age of equipment is related with its hourly output and mechanical availability time. The technical solutions are suggested to estimation of annual operational output of extraction-and-loading and transportation machines in case of the long-term prediction and strategic planning of mining and transportation infrastructure. The statistical analysis of key engineering factors and operational parameters of mining and transportation machines is performed in order to fi nd new technical solutions for more objective assessment of the equipment productiveness and its history with regard to aging during the entire lifetime.

keywords Mining and transportation machinery, mining equipment, productiveness, lifetime, statistical analysis, technical solutions, long-term prediction, strategic planning
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