Modeling the efficiency of the use of fixed assets of petrochemical enterprises

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Petrochemical industries are characterized by high capital costs and capital intensity, which is due to the multi-stage technology, the complexity of organizational structures and production processes, and the high costs of ensuring environmental efficiency and safety of production. In addition, many elements of the main production assets, including oil refining, ammonia synthesis, polyethylene production, are characterized by outdated bulky infrastructure and the involvement of large amounts of resources. Thus, when improving fixed production assets, it is necessary to take into account all the latest technologies and development concepts. Based on the foregoing, it follows that the emphasis is shifting from new construction towards reconstruction, modernization and technical re-equipment. The purpose of the article is to model the efficiency of using fixed assets of petrochemical enterprises using the example of Kazanorgsintez PJSC. Achieving this goal involves solving the following tasks: consideration of best practices in the modernization of production facilities; diagnosing the efficiency indicators of the use of fixed production assets of Kazanorgsintez PJSC; building a regression model for the efficiency of using fixed assets of PJSC Kazanorgsintez; forecasting trends in the use of the main production capacities for the future period. The article uses methods of descriptive statistics, applied methods of correlation-regression analysis and forecasting methods. The object of the study was the enterprise PJSC Kazanorgsintez, which is the largest petrochemical enterprise in Russia and Tatarstan, one of the largest manufacturers of high and low density polyethylene in Russia. The subject of the research is mathematical modeling of the effectiveness of the use of fixed assets of an enterprise. The results of the study will allow more targeted development of a set of measures to modernize the fixed assets of Kazanorgsintez PJSC.

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Kazanorgsintez pjsc, fixed assets, correlation and regression analysis, forecasting, modeling

Короткий адрес: https://sciup.org/148325325

IDR: 148325325   |   DOI: 10.37313/1990-5378-2022-24-6-114-120

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