Skip to main content
Log in

Incorporating process capability index and quality loss function into analyzing the process capability for qualitative data

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

Abstract

Process capability analysis (PCA) is frequently employed to evaluate a product or a process if it can meet the customer’s requirement. In general, process capability analysis can be represented by using the process capability index (PCI). Until now, the PCI was frequently used for processes with quantitative characteristics. However, for process quality with the qualitative characteristic, the data’s type and single specification caused limitations of using the PCI. When the product can not meet the target, even if it lies in the specified range, it should lead to the corresponding quality loss. Taguchi developed a quadratic quality loss function (QLF) to address such issues. In this study, we intend to construct a measurable index which incorporates the PCI philosophy and QLF concept to analyze the process capability with the consideration of the qualitative response data. The manufacturers can not only employ the proposed index to self-assess the process capability, but they also can make comparisons with the other competitors .

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. Montgomery DC (2001) Introduction to statistical quality control, 4th edn. Wiley, New York, NY

  2. Phadke MS (1989) Quality engineering using robust design. Prentice-Hall International, New Jersey, NJ

  3. Chen KS, Pearn WL (1997) An application of non-normal process capability indices. Qual Reliab Eng Int 13:355–360

    Article  Google Scholar 

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

    Google Scholar 

  5. Bissell AF (1990) How reliable is your capability index? Appl Stat 39:331–340

    MATH  MathSciNet  Google Scholar 

  6. Kaminsky FC, Davis RD (1989) Statistical measures of process capability and their relationship to non-conforming product. In: Proc Third Biennial International Manufacturing Research Forum

  7. Kaminsky FC, Dovich RA, Burke RJ ( 1998)Process capability indices: now and in the future. Qual Eng 10:445–453

    Google Scholar 

  8. Kureková K (2001) Measurement process capability – trends and approaches. Meas Sci Rev 1(1):43–46

    Google Scholar 

  9. Tong LI, Chenn KS, Chen HT (2001) Statistical testing for assessing the performance of lifetime index of elcetronic component with exponential distribution. Int J Qual Reliab Manage 19(6/7):812–824

    Google Scholar 

  10. Chen JP, Ding CG (2001) A new process capability index for non-normal distribution. Int J Qual Reliab Manage 18(7):762–770

    Article  Google Scholar 

  11. Kotz S, Lovelace CL (1998) Process capability indices in theory and practice. Arnold, London

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kun-Lin Hsieh.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Hsieh, KL., Tong, LI. Incorporating process capability index and quality loss function into analyzing the process capability for qualitative data. Int J Adv Manuf Technol 27, 1217–1222 (2006). https://doi.org/10.1007/s00170-004-2314-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-004-2314-1

Keywords

Navigation