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Economics and Finance
ArticleName Management of the development of a metallurgical company on the basis of the algorithm of the pre-investment analysis
DOI 10.17580/chm.2023.01.12
ArticleAuthor V. S. Vasiltsov, M. S. Nysh, A. V. Solovieva

Cherepovets State University, Cherepovets, Russia:
V. S. Vasiltsov, Dr. Econ., Associate Prof., Dept. of Economics and Management, Business School, e-mail:
M. S. Nysh, Postgraduate Student, Business School, e-mail:


JSC Severstal Management, Cherepovets, Russia:
A. V. Solovieva, Manager, PSTP, Rolling Production Controlling, e-mail:


The article is devoted to the development of methodological approaches to assessing the effectiveness of investments in innovations and repairs of Russian metallurgical companies based on an analysis of the state of innovation and technological potential in order to maintain competitiveness in the face of tougher sanctions. The analysis of sources and directions of investments and comparison of the current internal rate of return in the leading companies in the metallurgical sector were carried out: Severstal, MMK, NLMK, EVRAZ; their investment activity was studied and the predominant selfinvestment in the development of companies and interest in financial parameters and global trends were confirmed to the detriment of the material component of production. The problem of disunity of owners, managers of the main production, repair facilities and top management in making investment decisions is detailed and methods for its solution are proposed through the use of a company's preinvestment analysis algorithm based on the methodology of predictive analysis of large data arrays. The methodological basis is the theory of strategic management and investment analysis. Methods: classification, comparison, grouping, economic and mathematical modeling, predictive analysis and algorithms. The methodology for evaluating investment projects using the modified internal rate of return (MIRR) has been refined. An algorithm for analyzing the investment environment of metallurgical companies is proposed based on taking into account the service life of equipment and ranking it depending on the need for repair or renewal. The updated analytical tools will be of interest to industry enterprises, corporations and government agencies in substantiating the strategy of innovative development. The developed approaches are of scientific interest in the study of contradictions between production, top management, owners of metallurgical companies and the state.

keywords Metallurgical companies, innovative and technological potential, equipment, innovations, investments, predictive technologies, MIRR, algorithmization

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