METHODOLOGY FOR PERFORMING A MEASUREMENT SYSTEM ANALYSIS WITH FOUR OPERATORS
DOI:
https://doi.org/10.68302/std2026.vol2.8Keywords:
Adapted MSA, Lens, Measurement system analysis (MSA), Optical production, Quality control, Quality assessmentAbstract
A variety of factors have been shown to influence each measurement process, including environmental elements, the characteristics of the measured object, and the capabilities of the measuring instrument. These factors can be categorised into several overarching groups: external factors, the measurement object, the measuring instrument, and the operator. The present paper sets out a methodology for the evaluation of part quality in the domain of optical manufacturing. The methodology under discussion employs a measurement system analysis (MSA) method. Typically, MSA is applied to two or three operators; however, in this study, it is performed for four operators. In the course of the experiments, ten optical workpieces, lenses, are measured, with each lens undergoing three measurements. Each of the four operators measured the same set of lenses, employing the same measuring instrument. The measurement of identical parts and apparatus serves to eliminate the influence of the measuring instrument on the measuring system and to evaluate the influence of the operator. The objective of this work is to demonstrate the feasibility of employing MSA as a method for assessing the quality of more than three operators. To this end, four distinct analyses are implemented to assess the influence of each operator in relation to the others.
Supporting Agencies
The author/s would like to thank the Research and Development Sector at the Technical University of Sofia for the financial support.Downloads
References
[1] Vardeman, S. B., & VanValkenburg, E. S. (1999). Two-Way Random-Effects Analyses and Gauge R&R Studies. Technometrics, 41(3), 202–211. https://doi.org/10.1080/00401706.1999.10485669
[2] Groš, J., Mihalić, T., Medić, S., & Šimunić, N. (2020). Design influenced by the effect of filter selection on the appraiser variation of the measuring results of a 3d optical measuring system zasnova, ki vpliva na izbiro filtra za oceno merilnih rezultatov 3d optičnega merilnega sistema. Journal of Energy Technology(JET) Vol.13. p.p. 27-41. ISSN: 1855-5748
[3] Fedoryszyn, A., & Brzeziński, M. (2015). Assessment of Reliability of Measurement Data and Adequacy of the Measurement Systems in Improving Quality of Casting Products. Archives of Foundry Engineering.
[4] Mikulová, P., & Plura, J. (2019). Detailed analysis of GRR study results and their visualization. In Conference Quality Production Improvement–CQPI (Vol. 1, No. 1, pp. 479-486).
[5] Hamada, M. S., Yeamans, K. A., & Harris, C. P. (2021). A case study: Comparing testers for means and variances in a balanced incomplete block design. Quality Engineering, 33(3), 558–562. https://doi.org/10.1080/08982112.2020.1859532
[6] Jarosova, E. (2020). The use of D-optimal design in an expanded gauge R&R study. Quality Engineering, 33(1), 34–42. https://doi.org/10.1080/08982112.2020.1745233
[7] Kearney, A.T., & Goedhartlaan, B.V. (2009). Nonrepeatable Gauge R&R Studies Assuming Temporal or Patterned Object Variation.
[8] Mitutoyo (2025), Mitutoyo product brochure: https://www.mitutoyo.com/products/small-tool-instruments-and-data-management/micrometers/digimatic-micrometers/mdh-micrometer/, (available at 25.01.2025).
[9] Measurement systems analysis (MSA), Reference Manual, Fourth Edition, Copyright 2010 Chrysler Group LLC, Ford Motor Company, General Motors Corporation, ISBN#: 978-1-60-534211-5
[10] Dian, M., & Hodinář, L. (2018). The GRR a Fundamental Tool for Dealing with Measurement System Variability. Manufacturing Technology, 18(1), 29-34.
Hristov, M. H. (2023, September). SPC as an Instrument for Implementation and MSA as an Instrument for Evaluation of Non-Linear Object Based Temperature Compensation into Shop Floor CMM. In 2023 15th Electrical Engineering Faculty Conference (BulEF) (pp. 1-9). IEEE.
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Copyright (c) 2026 Kliment Georgiev
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