THE POSSIBILITIES OF UNCERTAINTY ESTIMATION BASED ON THE RESULTS OF MEASUREMENT SYSTEM ANALYSIS

1 KLAPUT Pavel
Co-authors:
1 HOLEŇOVÁ Antónia 1 PLURA Jiří
Institution:
1 VSB - Technical University of Ostrava, Ostrava, Czech Republic, EU, pavel.klaput@vsb.cz, antonia.holenova.st@vsb.cz, jiri.plura@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:
1743-1748
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:
368 views / 240 downloads
Abstract

The quality of metallurgical products is affected not only by the quality of the production process, but also by the quality of the measured data through which is the production process controlled. For this reason one of the prerequisites for success in the market is quality of the measurement system. This is the reason why the evaluation of measurement system quality is an integral part of the activities of quality planning and quality control in both the automotive and also in the metallurgical industry. At present the evaluation of the quality of used measurement system is mostly performed by using two approaches respectively methodologies. It is a Measurement System Analysis (MSA) methodology developed by the U.S. automotive industry and VDA 5 methodology developed by the German automotive industry. The main objective of this paper is the analysis of the interrelationships among the most important properties of the measurement system evaluated according to MSA guide and measurement uncertainties evaluated according to VDA 5 guide. The factors that have the greatest impact on the differences in the results obtained by using both methodologies are described.

Keywords: Measurement system analysis, uncertainties, repeatability, reproducibility, ANOVA

© 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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