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In modern conditions, regardless of what type of economic activity an organization faces various risks. For manufacturing enterprises, the area of risks is one of the most extensive, since it is necessary to take into account uncertainties in both financial and production activities. Creation of an effective risk management system determines ways and opportunities to ensure sustainability of organizations and their ability to withstand adverse situations. Risk reduction is possible through risk management, which involves their identification and assessment, as well as the use of procedures and management me-thods that would reduce possible risks. For the most effective implementation of risk management, a systematic approach to organizing this process is required. Risk management will be of particular importance for energy companies due to the changes that have been observed in this area over the past few years. The paper proposes a risk management model for energy enterprises, which includes the goal, object, subject, functions, principles and processes of risk management, taking into account the characteristics of energy enterprises. An algorithm for implementing this model is presented, consisting of five main stages. The use of this algorithm will allow us to obtain intermediate results from the implementation of the risk management system and, if necessary, adjust this process. The paper presents an analysis of existing concepts on the use of risk points. Attention is also paid to the issue of using this method at energy enterprises in other countries. The methodology for determining critical control points, which lies in at the heart of HACCP (Hazard Analysis Critical Control Point) system used in the food industry, is discussed in detail. The possibility of using risk points to determine those responsible for risks at energy enterprises is substantiated. An analysis of the operating thermal power plant was carried out in order to identify points of production and technical risk. The result of the analysis was the identification of those responsible for this type of risk.
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Ya. I. Tymul (2024) studied this question.
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