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The paper deals with the optimal layout of smelting’s sequences in continuous steel casting device (CCM) using K-Means clustering methods as well as using fuzzy clustering. This optimization is trying to achieve a positive effect to the mold’s durability. During the production of steel by continuous casting are subsequently casting different steel grades. That steel grades differ in their composition and production efficiency and to increase the life of the mold is necessary to determine the appropriate sequence of the casting. The parameters on whose basis the cluster analysis was made were chemical composition, liquids temperature, superheat and other technological parameters.
Keywords: steel mill, production scheduling, control, fuzzy clustering© This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.