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THE INFLUENCE OF SKEWNESS OF THE MONITORED QUALITY CHARACTERISTIC DISTRIBUTION ON THE PROCES CAPABILITY ANALYSIS RESULTS

1 PLURA Jiří
Co-authors:
1 NEPRAŠ Karel 1 KLAPUT Pavel
Institution:
1 VSB-Technical University of Ostrava, Faculty of Metallurgy and Materials Engineering, Department of Quality Management, Ostrava, Czech Republic, EU, jiri.plura@vsb.cz, karel.nepras.st@vsb.cz, pavel.klaput@vsb.cz
Conference:
23rd International Conference on Metallurgy and Materials, Hotel Voronez I, Brno, Czech Republic, EU, May 21 - 23, 2014
Proceedings:
Proceedings 23rd International Conference on Metallurgy and Materials
Pages:
1458-1463
ISBN:
978-80-87294-52-9
ISSN:
2694-9296
Published:
18th June 2014
Proceedings of the conference were published in Web of Science and Scopus.
Metrics:
227 views / 103 downloads
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Abstract

One of the standard requirements for automotive industry suppliers within the framework of production part approval process is the evidence about capability of process. Process capability criteria are capability indices whose standard evaluation is based on the assumption of normal distribution of monitored quality characteristic. However, distribution of a series of quality characteristics such as tensile strength, hardness, roughness etc. does not correspond to a normal distribution. The paper deals with the influence of skewness of monitored quality characteristic distribution to process capability analysis results. They are applied different probability distibutions for process capability analysis and achieved results are compared and discussed.

Keywords: process capability analysis, non-normal quality characteristic, influence of skewness

© 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.

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