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Improvement of maintenance services at enterprises, classification of equipment condition data

Fedoseev E.V. AO MCC EuroChem, Moscow, Russian Federation ( )

Lagutkin M.G. Moscow Polytechnic University (Moscow Poly), Moscow, Russian Federation ( )

Journal: Economic Analysis: Theory and Practice, #4, 2019

Subject Classification of data on the condition of equipment is important for arranging a single information space and effective asset management of a large industrial enterprise. We consider the tasks of classification and clustering of information on equipment as part of applied research in the field of integrated approach to improvement of the management of repair services providing operation of complex utility facilities.
Objectives The aim is to design an approach to data collection and processing to obtain practical information about the structure of equipment, its faulty components, technical and economic implications of unloading and business interruption. Based on the data, we develop measures and identify priority areas for repair services improvement.
Methods We employ general scientific methods of research that rest on the tenets of the theory of classification and coding, the cluster analysis, the systems theory, the fuzzy sets theory, the theory of management, reliability of technology, and other engineering disciplines.
Results We developed and tested the system of classifiers for equipment database structuring. The offered approach to classification, clustering and coding of data enables to apply modern methods to assess the efficiency of maintenance and repair services at large enterprises.
Conclusions Classification of equipment, causes and consequences of defects, remedial actions and areas of repair services improvement is a complex cross-functional challenge. It is addressed via special techniques by the enterprise personnel together with engineering experts under the supervision of senior managers and subject to corporate and operational strategies.

Public-private partnerships as a factor in development of industrial infrastructure

Fedoseev A.V. PhD in Economics, Associate Professor of department “Information Security”, the South Ural State University ( )

Erashkin E.A. Graduate Student of department “Economics and Regional development”, the Chelyabinsk State University ( )

Journal: National Interests: Priorities and Security, #39, 2012

In the article the model of financing of updating and expansion of production infrastructure in the form of state-private partnership (SPP) is considered. The assessment of risks of insufficient investment to the specified infrastructure is carried out. The SPP new model with reference to the Russian regions understands, the arguments in favor of use of this model are given. The methodological approach to an effect assessment from the SPP realization is offered.

Decision-making concerning choosing effective forms of integration of public-private capital for infrastructure projects

Fedoseev А.V. PhD in Economics, Associate Professor, the Department «Business and Management», the South Ural State University ( )

Erashkin Е.А. Graduate Student, the Department «Economic Theory and Regional Development», the Chelyabinsk State University ( )

Journal: Regional Economics: Theory and Practice, #26, 2013

In the article the necessity of public capital is discussed, and it is concluded that the possibility of applying PPP, creations of the private and state partnership (GChP) is proposed. Matrix classification of forms of integration by three signs is offered, the need of justification of decision-making on a choice of a form of integration is revealed. The algorithm scheme on making decision on a form of integration of the private and state capital with use of mathematical apparatus is given.

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