Skip to main content

Intelligent Process Control Using Control Charts—II: Control Charts for Attributes

  • Chapter
  • First Online:

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 97))

Abstract

Control charts for attributes are used to detect nonrandom variation when the inspected quality characteristic cannot be represented numerically. Fuzzy attribute control charts allow flexibility in evaluating whether an item is conforming or nonconforming. Thus, it is preferred when there is ambiguity about the conformity of the item. In this chapter, crisp attribute control charts, fuzzy attribute control charts and some numerical examples are given.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Braverman, J.D.: Fundamentals of Statistical Quality Control. Reston Pub. Co., Virginia, Reston, Va. (1981)

    Google Scholar 

  • Erginel, N.: Fuzzy rule-based p and np control charts. J. Intell. Fuzzy Syst. (2013) forthcoming

    Google Scholar 

  • Gülbay, M., Kahraman, C., Ruan, D.: α-cut fuzzy control charts for linguistic data. Int. J. Intell. Syst. 19, 1173–1195 (2004)

    Article  MATH  Google Scholar 

  • Gülbay, M., Kahraman, C.: An alternative approach to fuzzy control charts: Direct fuzzy approach. Inf. Sci. 177, 1463–1480 (2007)

    Article  MATH  Google Scholar 

  • Gülbay, M., Kahraman, C.: Development of fuzzy process control charts and fuzzy unnatural pattern analyses. Comput. Stat. Data Anal. 51, 434–451 (2006a)

    Article  MathSciNet  MATH  Google Scholar 

  • Gülbay, M., Kahraman, C.: Design of fuzzy process control charts for linguistic and imprecise data. In: Kahraman, C. (ed.) Fuzzy Applications in Industrial Engineering, pp. 59–86. Springer, Berlin (2006b)

    Chapter  Google Scholar 

  • Kahraman, C., Gülbay, M., Erginel, N., Şentürk, S.: Fuzzy statistical process control techniques in production systems. In: Kahraman, C., Yavuz, M. (eds). Production Engineering and Management Under Fuzziness Studies in Fuzziness And Soft Computing. Springer, Berlin, pp. 431–456 (2010)

    Google Scholar 

  • Mitra, A.: Fundamentals of Quality Control and Improvement, 3rd edn. Wiley, New Jersey (2008)

    Book  MATH  Google Scholar 

  • Montgomery, D.C.: Introduction to Statistical Quality Control, 5th edn. Wiley, USA (2005)

    MATH  Google Scholar 

  • Şentürk, S., Erginel, N., Kaya, İ., Kahraman, C.: Design of fuzzy α control charts. J. Multiple-Valued Logic Soft Comput. 17, 459–473 (2011)

    Google Scholar 

  • Wang, J.H., Raz, T.: On the construction of control charts using linguistic variables. Intell. J. Prod. Res. 28, 477–487 (1990)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Seda Yanık .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Yanık, S., Kahraman, C., Yılmaz, H. (2016). Intelligent Process Control Using Control Charts—II: Control Charts for Attributes. In: Kahraman, C., Yanik, S. (eds) Intelligent Decision Making in Quality Management. Intelligent Systems Reference Library, vol 97. Springer, Cham. https://doi.org/10.1007/978-3-319-24499-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-24499-0_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-24497-6

  • Online ISBN: 978-3-319-24499-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics