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Sample size determination for production yield estimation with multiple independent process characteristics

Author

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  • Hsu, Ya-Chen
  • Pearn, W.L.
  • Chuang, Ya-Fei

Abstract

Capability measure for processes yield with single characteristic has been investigated extensively, but is still comparatively neglected for processes with multiple characteristics. Wu and Pearn [Wu, C.W., Pearn, W.L., 2005. Measuring manufacturing capability for couplers and wavelength division multiplexers (WDM). International Journal of Advanced Manufacturing Technology 25(5/6), 533-541] proposed a capability index for multiple characteristics called , which provides an exact measure on process yield for multiple characteristics with each characteristic normally distributed. However, the exact sampling distribution of (multiple characteristics) is analytically intractable. In this paper, we apply the bootstrap method for calculating the lower confidence bounds of the index , and determine the sample size for a specified estimation accuracy. In order to obtain a desired estimation quality assurance, the sample size determination is essential as it provides the accuracy of the lower bound obtained from the bootstrap method. For convenience of applications, we tabulate the sample size required for various designated accuracy for the engineers/practitioners to use. A real-world example from manufacturing process with multiple characteristics is investigated to illustrate the applicability of the proposed approach.

Suggested Citation

  • Hsu, Ya-Chen & Pearn, W.L. & Chuang, Ya-Fei, 2009. "Sample size determination for production yield estimation with multiple independent process characteristics," European Journal of Operational Research, Elsevier, vol. 196(3), pages 968-978, August.
  • Handle: RePEc:eee:ejores:v:196:y:2009:i:3:p:968-978
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    References listed on IDEAS

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    1. M. Huang & K. Chen & R. Li, 2005. "Graphical Analysis of Capability of a Process Producing a Product Family," Quality & Quantity: International Journal of Methodology, Springer, vol. 39(5), pages 643-657, October.
    2. W. L. Pearn & YA Ching Cheng, 2007. "Estimating process yield based on Spk for multiple samples," International Journal of Production Research, Taylor & Francis Journals, vol. 45(1), pages 49-64, January.
    3. A. F. Bissell, 1990. "How Reliable is Your Capability Index?," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 39(3), pages 331-340, November.
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    Cited by:

    1. Li, Der-Chiang & Lin, Liang-Sian, 2013. "A new approach to assess product lifetime performance for small data sets," European Journal of Operational Research, Elsevier, vol. 230(2), pages 290-298.

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