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측정시스템 분석을 위한 2차원 척도 평가

Two-Dimensional Assessment for Measurement System Analysis

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참고문헌

키워드

주제분류학제간연구

초록

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.

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.

참고문헌 (15)

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  5. Chen, Wen-Kuei., "Is the Isoplot an Ellipse? A Study on Isoplot for the Measurement Systems Analysis", Quality Engineering, 26, pp.350~358 (2014)
  6. 최천규, "6시그마 도입을 통한 EOP 측정시스템 개선 사례연구 : D사의 6시그마 활동 사례를 중심으로", 품질경영학회지, 34(3), pp.51~61 (2006), 한국품질경영학회
  7. Cox, David R., "A Simple Approximation for Bivariate and Trivariate Normal Integrals", International Statistical Review, 59, pp.263~269 (1991)
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  9. Engel, Jen., "Evaluating a Well-Known Criterion for Measurement Precision", Journal of Quality Technology, 29, pp.469~476 (1997)
  10. Lee, Seung-Hoon., "A Statistical Software for Measurement Systems Analysis", Journal of the Korean Society for Quality Management, 28, pp.175~195 (2000)
  11. Mader, Douglas P., "The Economic Impact of Measurement Error", Quality Engineering, 11, pp.563~574 (1999)
  12. Majeske, Karl D., "Evaluating Measurement Systems and Manufacturing Processes Using Three Quality Measures", Quality Engineering, 15, pp.243~251 (2002)
  13. Wheeler, Donald. J., "Evaluating the Measurement Process, 2nd ed" (1989), SPC Press
  14. White, T. Kelvin., "Two-Dimensional Guidelines for Measurement System Indices", Journal of Quality Technology, 27, pp.479~487 (2011)
  15. Woodall, William H., "Some Relationships between Gage R&R Criteria", Quality and Reliability Engineering International, 24, pp.99~106 (2008)

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