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The article presents a statistical approach to the results of non-conformities of steel round bars over 12 months. Basic statistical measures, Pareto-Lorenz diagram, histograms, box plot, picture charts as well as correlation analysis were used to present the distribution of data regarding the number of non-conformities and dependencies in the analyzed data in a system according to the type of non-conformities found and in the time system - according to the examined months. The study aimed to analyze and discover statistical dependencies in the data on the number of non-conformities. An analysis was also made of the relationship between the factors affecting non-conformities and selected non-conformities, and activities for reducing non-conformities were identified. The share of identified non-conformities concerning the volume of production in the annual period was 0.25%. A large diversity of data on non-conformities in individual months of the analysis was indicated. The dominant non-conformities over 12 months were wrinkle scratches, bar skewness and scratches due to rolling mill, while the critical month with the largest number of non-conformities was September, with the total number of non-conformities in the months examined being varied slightly. A lot of valuable information was obtained about the structure of steel round bars non-conformities. Statistical data were analyzed using the Statistica 13.0 program from TIBCO Software.
Keywords: Metallurgy, steel round bars, non-conformities, statistical analysis, Statistica software© 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.