Skip to main content
Log in

Process performance assessment based on sub-samples – a large sample approach

  • Original Article
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

Process incapability index has been introduced to provide quantitative measures on process performance. Contributions of the estimated incapability index based on sub-samples have been proposed under the normality assumption. In this paper, investigations based on sub-samples are considered under general conditions having fourth central moment. The limiting distribution of the estimated incapability index based on sub-samples is derived. An approximate 100(1-α)% upper confidence bound of the considered incapability index is constructed. A demonstrated example is also provided to illustrate how the proposed approximate upper confidence bound may be applied for judging whether the process runs under the desirable quality requirement.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Kane VE (1986) Process capability indices. J Qual Technol 18:41–52

    Google Scholar 

  2. Pearn WL, Lin GH, Chen KS (1998) Distributional and inferential properties of the process cccuracy and process precision indices. Commun Stat Theory Methods 27:985–1000

    MATH  MathSciNet  Google Scholar 

  3. Chou YM, Owen DB (1989) On the distributions of the estimated process capability indices. Commun Stat Theory Methods 18:4549–4560

    Google Scholar 

  4. Kotz S, Pearn WL, Johnson NL (1993) Some process capability indices are more reliable than one might think. Appl Stat 42:55–62

    MATH  Google Scholar 

  5. Lin GH, Pearn WL (2004) On the distributional properties of the estimated process accuracy index Ca. Int J Ind Eng, in press

  6. Lin GH (2005) A random interval estimation on the estimated process accuracy index. Int J Adv Manuf Technol, in press

  7. Boyles RA (1991) The Taguchi capability index. J Qual Technol 23:17–26

    Google Scholar 

  8. Chan LK, Cheng SW, Spiring FA (1988) A new measure of process capability: Cpm. J Qual Technol 20:162–175

    Google Scholar 

  9. Greenwich M, Jahr-Schaffrath BL (1995) A process incapability index. Int J Qual Reliab Manage 12:58–71

    Article  Google Scholar 

  10. Pearn WL, Lin GH (2001) On the reliability of the estimated process incapability index. Qual Reliab Eng Int 17:279–290

    Article  Google Scholar 

  11. Lin GH (2002) Process incapability index for contaminated normal processes. Adv Appl Stat 2:119–130

    MATH  MathSciNet  Google Scholar 

  12. Lin GH (2004) Upper limits of the estimated incapability index: a practical application on the reliability assessment of printed circuit boards. Int J Adv Manuf Technol 24:841–846

    Article  Google Scholar 

  13. Lin GH (2005) Process reliability assessment with a bayesian approach. Int J Adv Manuf Technol 25:392–395

    Article  Google Scholar 

  14. Pearn WL, Lin GH (2002) Estimated incapability index: reliability and decision making with sample information. Qual Reliab Eng Int 18:141–147

    Article  Google Scholar 

  15. Lin GH (2005) Assessing process performance with incapability index based on multiple samples. Int J Adv Manuf Technol, in press

  16. Lin GH (2005) A Bayesian approach based on multiple samples for measuring process performance. Working paper

  17. Serfling RJ (1980) Approximation theorems of mathematical statistics. Wiley, New York

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to G.H. Lin.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Lin, G. Process performance assessment based on sub-samples – a large sample approach. Int J Adv Manuf Technol 27, 1223–1227 (2006). https://doi.org/10.1007/s00170-004-2323-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-004-2323-0

Keywords

Navigation