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Quality Engineering Volume 35, 2023 - Issue 1
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Case Studies

A case study: Eliminating nuisance within-part variation in assessing a measurement system

M. S. HamadaLos Alamos National Laboratory, Los Alamos, New MexicoCorrespondence[email protected]
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B. W. O’BrienLos Alamos National Laboratory, Los Alamos, New MexicoView further author information
Pages 165-171 | Published online: 06 Jul 2022

References

  • Burdick, R. K. C. M. Borror, and D. C. Montgomery. 2005. Design and analysis of gauge R & R studies: making decisions with confidence intervals in random and mixed ANOVA models. ASA-SIAM series on statistics and applied probability. Philadelphia and ASA: SIAM and ASA.
  • Department of Defense. 1988. Military Standard MIL-STD-4566ZA (1988) Calibration System Requirements, August 1, 1988.
  • Montgomery, D. C., and G. C. Runger. 1993. Gauge capability and designed experiments: part I: basic methods. Quality Engineering 6 (1):115–35. doi: 10.1080/08982119308918710.
  • Phillips, S. D. 2004. Measurement uncertainty and traceability issues: a standards activity update. American Society for Precision Engineering Proceedings, Uncertainty Analysis in Measurement and Design June 30–July 1, 2004.
  • R Core Team. 2022. R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing. http://www.R-project.org (accessed May 26, 2022).

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