@ARTICLE{Kardas2025:i8987,
	author="{Kardas, Edyta and Bujacz, Krzysztof}",
	title="{The use of statistical analysis as a tool for improving production processes in the metallurgical industry – a case study}",
	year="2025",
	type="artykuł naukowy",
	language="en",
	journal="{Journal of Engineering 360}",
	issn="3071-7507",
	volume="1",
	number="1/25",
	pages="66--74",
	doi="10.5604/01.3001.0055.5275",
	url="https://journalofengineering360.ajp.edu.pl/article/555275/en",
	keywords="quality; statistical analysis; SPC; metallurgical industry",
	abstract="{The main purpose of this paper is to present the possibilities of using elements of SPC in the analysis of selected parameters of a
product manufactured in an industrial enterprise producing metal components, as well as the analysis of the causes of parameter
deviations in control charts and their possible correction. A metal element used in the automotive industry was chosen as the test
product. Five parameters of the manufactured product were examined. During the production process, six-element samples were
taken every hour. In total, 30 samples were included in the analysis. A statistical analysis of the selected parameters was performed.
On this basis, the causes of parameter deviations in the control charts were identified and possible corrective actions were proposed.
The main causes of problems were found to be three main groups of factors: machines, tools, and people.}",
}