Skip to main content
Log in

Economical control chart with supplementary rules to monitor the average number of defects

  • ORIGINAL ARTICLE
  • Published:
The International Journal of Advanced Manufacturing Technology Aims and scope Submit manuscript

Abstract

This study proposes a procedure for an on-line process control system to monitor the average number of defects using a Shewhart-like chart with two sets of limits (viz., control and warning limits). After the production of m units, the mth item is inspected. If the number of defects exceeds the upper control limit or if, in a sequence of the last h inspections, all inspected items exhibit a number of defects between the warning and control limits, then the process is stopped for adjustment; otherwise, production continues. The properties of an ergodic Markov chain are used to obtain an expression for the average cost per item produced. The inspection interval (m), warning and control limits (W and C, respectively), and the sequence size (h) are determined by minimizing the average cost per produced item. A numerical example illustrates the proposed procedure.

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. Bessegato LF, Quinino RC, Ho LL, Duczmal L (2010) Variable interval sampling in economical designs for online process control of attributes with misclassification errors. J Oper Res Soc 62(7):1365–1375

    Article  Google Scholar 

  2. Chiu WK, Cheung KC (1977) An economic study of X-charts with warning limits. J Qual Technol 9(4):166–171

    Google Scholar 

  3. Chou CY, Chen CH, Liu HR (2004) Effect of nonnormality on the economic design of warning limit X̄ charts. Qual Eng 16(4):567–575

    Article  Google Scholar 

  4. Chung KJ (1993) An economic study of X-charts with warning limits. Comput Ind Eng 24(1):1–7

    Article  Google Scholar 

  5. Glushkovsky EA (1994) “On-line” G-control chart for attribute data. Qual Reliab Eng Int 10(3):217–227

    Article  Google Scholar 

  6. Gordon GR, Weindling JI (1975) Cost model for economic design of warning limit control chart schemes. AIIE Trans 7(3):319–329

    Article  Google Scholar 

  7. Ho LL, Quinino RC (2012) An analysis of Taguchi's on-line quality monitoring procedure for variables based on the results of a sequence of inspections. Pesq Operacional 32:197–212

    Article  MATH  Google Scholar 

  8. Lam YC, Shamsuzzaman M, Zhang S, Wu Z (2005) Integrated control chart system-optimization of sample sizes, sampling intervals and control limits. Int J Prod Res 43(3):563–583

    Article  Google Scholar 

  9. Liu HR, Chou CY, Chen CH (2003) The effect of correlation on the economic design of warning limit X-bar charts. Int J Adv Manuf Technol 22(3–4):306–312

    Article  Google Scholar 

  10. Nayebpour MR, Woodall WH (1993) An analyses of Taguchi's on-line quality-monitoring procedures for attributes. Technometrics 35(1):53–60

    Article  Google Scholar 

  11. Page ES (1955) Control charts with warning lines. Biometrics 42(2):243–257

    Article  MATH  Google Scholar 

  12. Page ES (1962) A modified control chart with warning limits. Biometrika 49:171–176

    Article  MATH  MathSciNet  Google Scholar 

  13. Ross SM (1997) Introduction to probability models, 6th edn. Academic, San Diego

    MATH  Google Scholar 

  14. Taguchi G (1981) On-line quality control during production. Japanese Standards Association, Tokyo

    Google Scholar 

  15. Taguchi G (1985) Quality engineering in Japan. Bull Jpn Soc Precis Eng 19(4):237–242

    Google Scholar 

  16. Taguchi G, Elsayed EA, Hsiang T (1989) Quality engineering in production systems. McGraw-Hill, New York

    Google Scholar 

  17. Vasconcelos RMR, Medeiros PG, Ho LL (2012) On-line process control of the number of non-conformities in the inspected item. Braz J Oper Prod Manag 9:55–69

    Google Scholar 

  18. Western Electric Company (1956) Statistical quality control handbook. Indianapolis, Indiana

  19. Wu Z, Jiao J (2008) A control chart for monitoring process mean based on attribute inspection. Int J Prod Res 46(15):4331–4347

    Article  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Linda Lee Ho.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sena da Rocha, A.L., Guedes de Medeiros, P. & Lee Ho, L. Economical control chart with supplementary rules to monitor the average number of defects. Int J Adv Manuf Technol 76, 881–891 (2015). https://doi.org/10.1007/s00170-014-6237-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00170-014-6237-1

Keywords

Navigation