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Evaluation Method for Measurement System and Process Capability Using Gage R&R and Performance Indices

게이지 R&R과 성능지수를 이용한 측정시스템과 공정능력 평가 방법

  • Ju, Youngdon (Department of Industrial & Systems Engineering, Kongju National University) ;
  • Lee, Dongju (Department of Industrial & Systems Engineering, Kongju National University)
  • 주영돈 (공주대학교 산업시스템공학과) ;
  • 이동주 (공주대학교 산업시스템공학과)
  • Received : 2019.05.27
  • Accepted : 2019.06.20
  • Published : 2019.06.30

Abstract

High variance observed in the measurement system can cause high process variation that can affect process capability badly. Therefore, measurement system analysis is closely related to process capability analysis. Generally, the evaluation for measurement system and process variance is performed separately in the industry. That is, the measurement system analysis is implemented before process monitoring, process capability and process performance analysis even though these analyses are closely related. This paper presents the effective concurrent evaluation procedure for measurement system analysis and process capability analysis using the table that contains Process Performance (Pp), Gage Repeatability & Reproducibility (%R&R) and Number of Distinct Categories (NDC). Furthermore, the long-term process capability index (Pp), which takes into account both gage variance and process variance, is used instead of the short-term process capability (Cp) considering only process variance. The long-term capability index can reflect well the relationship between the measurement system and process capability. The quality measurement and improvement guidelines by region scale are also described in detail. In conclusion, this research proposes the procedure that can execute the measurement system analysis and process capability analysis at the same time. The proposed procedure can contribute to reduction of the measurement staff's effort and to improvement of accurate evaluation.

Keywords

References

  1. Al-Refaie, A. and Bata, N., Evaluating measurement and process capabilities by GR&R with four quality measures, Measurement, 2010, Vol. 43, pp. 842-851. https://doi.org/10.1016/j.measurement.2010.02.016
  2. Al-Refaie, A., Evaluating measurement and process capabilities using tabular algorithm procedure with three quality measures, Transactions of the Institute of Measurement and Control, 2012, Vol. 34, No. 5, pp. 604-614. https://doi.org/10.1177/0142331211410348
  3. Amara, S.B., Dhahri, J., and Fredj, N.B., Process true capability evaluation with the consideration of measurement system variability and expected quality loss, Quality and Reliability Engineering International, 2017, Vol. 33, pp. 937-944. https://doi.org/10.1002/qre.2070
  4. Amara, S.B., Dhahri, J., Samet, S., and Fredj, N.B., Method for improving the measurement system selection depending on part and process precisions, Measurement, 2017, Vol. 98, pp. 103-111. https://doi.org/10.1016/j.measurement.2016.11.031
  5. Asplund, M. and Lin, J., Evaluating the measurement capability of a wheel profile measurement system by using GR&R, Measurement, 2016, Vol. 92, pp. 19-27. https://doi.org/10.1016/j.measurement.2016.05.090
  6. Chang, M.S. and Kim, S.B., Bootstrap confidence intervals of precision-to-tolerance ratio, Journal of Society of Korea Industrial and Systems Engineering, 2007, Vol. 30, No. 2, pp. 37-43.
  7. Chung, Y.B and Kim, S.K., Comparison and application of process capability indices, Journal of Society of Korea Industrial and Systems Engineering, 2007, Vol. 30, No. 4, pp. 182-189.
  8. Eisenhart, C., Realistic Evaluation of the precision and accuracy of instrument calibration systems, Journal of Research of the National Bureau of Standards, 1963, Vol. 67C, pp. 161-187.
  9. Jeon, I.J., Measuring system improvement of screw insert for honeycomb sandwich panel, Department of Industry Engineering Graduate School of Industry Chungnam National University, Daejeon, Korea, 2018,
  10. Jung, T.W., The research for validation of air pressure sensor automatic inspection facility by checking gage R&R, Department of Business administration Graduate School of Business Culture, Seokyeong University, 2015.
  11. Lee, S.H., Minitab measurement system analysis, Eretec, 2016, pp. 100-255.
  12. Park, S.H. and Park, Y.H., Statistical quality control, 4th edition, Minyoungsa, 2013, pp. 100-250.
  13. Yoo, H.J. and Jung, S.I., A study on effective management for measurement system, Journal of the Korean institute of plant Engineering, 2002, Vol. 7, No. 4, pp. 183-190.