The paper deals with production scheduling of heat sequences while are steel types casted on continuous castingdevice. For production scheduling are used k-means clustering and fuzzy clustering methods. The parameters forcluster analysis are chemical composition liquids temperature and another values. From these values were selectedparameters, which has been processed by clustering methods. Proposed clustering algorithm for sorting steelgrades on continuous steel casting device is aimed to cast as many single graded smelts as possible, respectivelymore steel grades, which has similarities in chemical composition and liquid temperature. These resulting clustersare used when designing algorithm for smelting sequence scheduling. The goal of the production scheduling is tomake schedule of production tasks, so how to achieve the agreement between order requirements and capabilitiesof production in given time scale.
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