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http://dx.doi.org/10.7469/JKSQM.2014.42.4.607

Two-Dimensional Assessment for Measurement System Analysis  

Seo, Sun-Keun (Dept. of Industrial & Management Systems Engineering, Dong-A University)
Publication Information
Abstract
Purpose: This paper reviews popular measurement system indices and proposes a procedure for assessing a measurement system using two parameters with intraclass correlation and a factor for process capability. Methods: Gage Repeatability and Reproducibility(GR&R), precision-to-tolerance ratio(PTR), number of distinct categories, producer's and consumer's risks are employed to assess the measurement capabilities and discuss the relationships between measurement system metrics. Results: Two-dimensional plot by two parameters is presented to assess adequacy of the measurement system and process capability. A numerical example and previously studied case study are provided for illustration. Conclusion: The procedure proposed in this paper using two-dimension parameters provides a valuable procedure and helpful guidelines to quality and production managers in assessing the capabilities of a measurement system and choosing the needed actions to be the most benefit.
Keywords
Discrimination Error; Gage Repeatability and Reproducibility; Measurement System; Misclassification Error; Precision-to-Tolerance Ratio;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Burdick, Richard K., Borror, Connie M., and Montgomery, Douglas C. 2003. "A Review of Methods for Measurement Systems Capability Analysis." Journal of Quality Technology 35:342-354.   DOI
2 Chang, Mu Sung, and Kim, Sang Bu. 2007. "Estimations of Measurement System Variability and PTR under Nonnormal Measurement Error." Journal of the Korean Society for Quality Management 35: 10-9.
3 Chen, Wen-Kuei, and Hu, Cheng-Feng. 2014. "Is the Isoplot an Ellipse?, A Study on Isoplot for the Measurement Systems Analysis." Quality Engineering 26:350-358.   DOI
4 Choi, Cheonkyu. 2006. "A Case Study for Improvement of EOP Measurement System through 6 Sigma Introduction." Journal of the Korean Society for Quality Management 34:51-62.   과학기술학회마을
5 Cox, David R., and Wermuth, Nanny. 1991. "A Simple Approximation for Bivariate and Trivariate Normal Integrals." International Statistical Review 59:263-269.   DOI
6 Doganaksoy, Necip. 2000. "Assessment of Impact of Measurement Variability in the Presence of Multiple Sources of Product Variability." Quality Engineering 13:83-89.
7 Engel, Jen, and De Vries, Bert. 1997. "Evaluating a Well-Known Criterion for Measurement Precision." Journal of Quality Technology 29:469-476.   DOI
8 Lee, Seung-Hoon, and Lee, Jong-Hwan. 2000. "A Statistical Software for Measurement Systems Analysis." Journal of the Korean Society for Quality Management 28:175-195.   과학기술학회마을
9 Mader, Douglas P., Prins, Jack, and Lampe, Rod E. 1999. "The Economic Impact of Measurement Error." Quality Engineering 11:563-574.   DOI   ScienceOn
10 Majeske, Karl D., and Andrews, Richard W. 2002. "Evaluating Measurement Systems and Manufacturing Processes Using Three Quality Measures." Quality Engineering 15:243-251.   DOI
11 Wheeler, Donald. J., and Lyday, Richard W. 1989. Evaluating the Measurement Process, 2nd ed. Knoxville, USA:SPC Press.
12 White, T. Kelvin, and Borror, Connie M. 2011. "Two-Dimensional Guidelines for Measurement System Indices." Journal of Quality Technology 27:479-487.
13 Woodall, William H., and Borror, Connie M. 2008. "Some Relationships between Gage R&R Criteria." Quality and Reliability Engineering International 24:99-106.   DOI
14 Al-Rafaie, Abbas, and Bata, Nour. 2010. "Evaluating Measurement and Process Capabilities by GR&R with Four Quality Measures." Measurement 43:842-851.   DOI
15 Automotive Industry Action Group. 2010. Measurement Systems Analysis, 4th ed. Detroit(USA): AIAG.