Identification of the main performance indicators of the electrical shop of a metallurgical enterprise in order to reduce the costs of power supply of process equipment
https://doi.org/10.17073/2072-1633-2024-4-1385
Abstract
The study analyzes the problems of assessing the efficiency of the electrical shop of a metallurgical enterprise; shows the insufficiency of assessing the electrical shop using only financial criteria; identifies the main processes occurring during its operation; highlights key measurable indicators in each process; reveals the roles, significance and method of quantitative assessment of each individual indicator. In the course of the study, a system was developed that assesses all the key processes occurring in the division, taking into account the priorities inherent in an industrial enterprise, which includes indicators describing the financial and client element, an element of internal processes and an element aimed at improving the personnel. The article provides examples of calculating these indicators. The set of these elements is a balanced scorecard proposed by R.S. Kaplan, adapted for assessing the electric power division. The system of indicators developed in the study can be used for long-term assessment of the efficiency of the electrical shop of a metallurgical enterprise and used to determine the point of maximum return on costs in strategic planning of the electric power division of an industrial enterprise.
About the Authors
A. F. PlekhanovaRussian Federation
Anna F. Plekhanova – Dr.Sci. (Econ.), Professor of Department of Finance and Credit
23 Gagarin Ave., Nizhny Novgorod 603022
D. Yu. Sykharev
Russian Federation
Dmitriy Yu. Sukharev – Head Master, Site for the Operation of Networks and Substations, Electrical Supply Manufactory
45 Brat’yev Batashevykh Str., Vyksa, Nizhny Novgorod Region 607060
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Supplementary files
Review
For citations:
Plekhanova A.F., Sykharev D.Yu. Identification of the main performance indicators of the electrical shop of a metallurgical enterprise in order to reduce the costs of power supply of process equipment. Russian Journal of Industrial Economics. 2025;18(1):137-148. (In Russ.) https://doi.org/10.17073/2072-1633-2024-4-1385