Adaptation of Metallurgical Industry Enterprises of Ukraine in the War Conditions

The article analyzed the metallurgical market in Ukraine, particularly the volumes of metallurgical production by the main categories in 2021-2023 (cost iron, steel, rolled metal). The comparison of key competitors in the metallurgical industry of Ukraine, which remained after the beginning of russia's war against Ukraine, according to such indicators as scale of production, access to resources, export orientation, and technological development, was presented. The macro-environment factors of metallurgical enterprises are determined and analyzed: economic, political, legal, social, technological, environmental, and international. In particular, the most negative impact of active hostilities in Ukraine on the activities of the metallurgical industry and the country's economy as a whole is highlighted. The article also identifies and analyzes the micro-environment factors: the state of metal markets, price fluctuations, competition, and the situation in raw materials markets. As a result, the environmental factors are distributed by components, indicating the positive and negative factors’ impact on the activities of metallurgical enterprises in war. The article outlines the risks of the external and internal environment of the metallurgical enterprise, using the example of PJSC "Zaporizhstal". A mathematical model for their estimation, which combines quantitative and qualitative analysis, is proposed. Based on the model, an integral indicator of the environmental risks of the enterprise and an integral indicator of the risks of the internal environment according to three scenarios (optimistic, baseline, and pessimistic), which allowed for determining the risks of the most negative impact. As a result, the integrated risk indicators of the external and internal environment of the enterprise of PJSC "Zaporizhstal" for various scenarios were compared. The possibilities of using artificial intelligence in the management of metallurgical enterprises are exposed in order to increase the accuracy of forecasts, minimize uncertainty, and allocate resources more efficiently.