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Estimating and Testing Process Precision with Presence of Gauge Measurement Errors

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Abstract

Process capability indices have been widely used in the manufacturing industry. Those capability indices, quantifying process potential and performance, are important for any successful quality improvement activities and quality program implementation. Because of the simplicity and easy of understanding, the precision index Cp has gained its popularity for measuring process consistency. However, the quality of data on the process characteristics relies very much on the gauge measurement. Conclusions about capability of the process just only based on the single numerical value of the index are not reliable. In this paper, we not only conduct the performance of the index Cp with gauge measurement errors, but also present adjusted confidence interval bounds and critical values for capability testing purpose of Cp with unavoidable measurement errors. Our research would help practitioners to determine whether the factory processes meet the capability requirement, and make more reliable decisions.

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References

  • Chou Y.M., Owen D.B. (1989). On the distributions of the estimated process capability indices. Communication in Statistics-Theory and Methods 18: 4549–4560

    Article  Google Scholar 

  • Juran J.M., Gryna F.M., Bingham R.S. Jr. (1974). Quality Control Handbook. New York, McGraw-Hill

    Google Scholar 

  • Kocherlakota S. (1992). Process capability index: Recent development. Sankya: The Indian Journal of Statistics 54(B), Pt. 3: 352–369

  • Kotz S., Johnson N.L. (1993). Process Capability Indices. London, Chapman & Hall

    Google Scholar 

  • Levinson, W. A. (1995). How good is your gage? Semiconductor International 165–168.

  • Mandel J. (1972). Repeatability and reproducibility. Journal of Quality Technology 4(2): 74–85

    Google Scholar 

  • Mittag H.J. (1997). Measurement error effects on the performance of process capability indices. Frontiers in Statistical Quality Control 5: 195–206

    Google Scholar 

  • Mizuno S. (1988). Company-wide Total Quality Control. Tokyo, Asian Productively Organization

    Google Scholar 

  • Montgomery D.C. (2000). Introduction to Statistical Quality Control, 4th edn. New York, John Wiley and Sons

    Google Scholar 

  • Montgomery D.C., Runger G.C. (1993). Gauge capability and designed experiments. Part I: basic methods. Quality Engineering 6(1): 115–135

    Article  Google Scholar 

  • Pearn W.L., Kotz S., Johnson N.L. (1992). Distributional and inferential properties of process capability indices. Journal of Quality Technology 24: 216–231

    Google Scholar 

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Authors and Affiliations

  1. Department of Industrial Engineering and Management, National Chiao Tung University, Hsinchu, Taiwan, R.O.C.

    W. L. Pearn

  2. Department of Finance and Banking, Yuanpei University, 306 Yuan Pei Street, Hsinchu, Taiwan, R.O.C.

    Mou-Yuan Liao

Authors
  1. W. L. Pearn
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  2. Mou-Yuan Liao
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Pearn, W.L., Liao, MY. Estimating and Testing Process Precision with Presence of Gauge Measurement Errors. Qual Quant 41, 757–777 (2007). https://doi.org/10.1007/s11135-007-9095-1

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  • DOI: https://doi.org/10.1007/s11135-007-9095-1

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