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Assessment of Reliability of Measurement Data and Adequacy of the Measurement Systems in Improving Quality of Casting Products

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The study summarises the analysis of reliability assessment of measurements of a selected critical property of a high-precision casting product. Measurement data must be sufficiently reliable to be used in decision-making relating to quality control and the selection of the casting manufacturing technology. The applied procedure is illustrated by study of the variability range of readouts depending on the measurement conditions, obtained by the computer methods. The applied R&R (Repeatability and Reproducibility) procedure is major component of the widely employed Measurement System Analysis (MSA).
Rocznik
Strony
124--126
Opis fizyczny
Bibliogr. 8 poz., rys., tab., wykr.
Twórcy
  • AGH University of Science and Technology, Reymonta 23, 30-059 Kraków, Poland
  • AGH University of Science and Technology, Reymonta 23, 30-059 Kraków, Poland
Bibliografia
  • [1] Dietrich, E., Schultze, A. (2009). Statistical Procedures for Machine and Process Qualification, Carl Hanser Verlag, München.
  • [2] Fedoryszyn, A. (2010). Integrated Management Systems. Quality Systems Organisation and Education Centre of the Cracow University of Technology. Kraków.
  • [3] Greber, T. (2015). Measurement Systems Analysis - (MSA), pp. 31-38, www.statsoft.pl/Portals/0/Downloads/Analiza_systemu_pomi arowego_MSA.pdf; date of access: 23.05.2015.
  • [4] Hamrol, A. (2012). The quality management with examples. PWN, Warszawa.
  • [5] Iwaniec, M. (2015). The role of quality measurements in the SPC system. Practical approach to MSA. http://www.statsoft.pl/Portals/0/Downloads/Rola_jakosci_po miarow_w_systemie_SPC.pdf, date of access 23.05.2015.
  • [6] Rączka, M., Rewilak, J. (2010). Ensuring the accuracy of the measurement in the quality management system. Inżynieria maszyn, R. 15, z. 3, 69-81, Kraków.
  • [7] Tabisz, R. (2015). Ensuring the reliability of the analyzed data - Fundamentals of MSA analysis, pp. 153-164 http://www.statsoft.pl/Portals/0/Downloads/msa.pdf - date of access: 23.05.2015.
  • [8] Smoleń, A. (2015). Measurement Systems Analysis - MSA. Engineer’s thesis. Faculty of Foundry, AGH. Kraków, 2015.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-7fe91e07-685e-4930-8ed0-402b70dc6da2
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