QUALITY ANALYSIS OF THE STEEL BARS IN CHOSEN METALLURGICAL ENTERPRISE

1 DZIUBA Szymon T.
Co-authors:
2 INGALDI Manuela 3 KADLUBEK Marta
Institutions:
1 Wroclaw University of Economics, Faculty of Engineering and Economics, ul. Komandorska 118-120, 3-345 Wroclaw, Poland, szymon.dziuba@ue.wroc.pl
2 Czestochowa University of Technology, Faculty of Management, al. Armii Krajowej 19b p.309z, 2-200 Czestochowa, Poland, manuela@gazeta.pl
3 Czestochowa University of Technology, Faculty of Management, Al. Armii Krajowej 19b p.208, 2-200 Czestochowa, Poland, martakadlubek@wp.pl
Conference:
27th International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 23rd - 25th 2018
Proceedings:
Proceedings 27th International Conference on Metallurgy and Materials
Pages:
1893-1898
ISBN:
978-80-87294-84-0
ISSN:
2694-9296
Published:
24th October 2018
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
24 views / 10 downloads
Abstract

Quality management tools are instruments that enable collecting and processing data on events and processes taking place in the organization, related to various aspects of quality management. The most important group of tools is called Seven Basic Tools of Quality, Magnificent Seven or 7 QC Tools. They are called basic because they are suitable for people with little formal training in statistics and they can be used to solve the vast majority of quality-related issues. They allow to easily analyze the quality of chosen products. They also allow for data visualization, monitoring and diagnosis of processes. Thanks to them, an enterprise can check the effectiveness of the actions taken and decisions made. In the paper the quality analysis of the steel bars was presented. The data comes from the steelwork in Poland (its rolling mill). Pareto chart and Ishikawa diagram were chosen for this analysis. The Ishikawa diagram allowed to group the causes of nonconformities of the steel bars, while the Pareto chart allowed to indicate which of these causes contribute to the formation of the largest number of nonconformities. The main result will be the indication of the most frequent causes of nonconformities of the steel bars and their analysis, which should reduce the amount of nonconforming products produced in the research object. The results can be used both by the research rolling mill and other rolling mills producing similar products. However, the research methodology can be an indication for other companies how to analyze the causes of nonconformities.

Keywords: quality, Pareto chart, Ishikawa diagram, steel bars
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