Skip to main content
SpringerLink
Log in
Book cover

Quality Control with R pp 239–270Cite as

Control Charts with R

  • 4566 Accesses

Part of the Use R! book series (USE R)

Abstract

Control charts constitute a basic tool in statistical process control. This chapter develops the fundamentals of the most commonly applied control charts. Although the general basic ideas of control charts are common, two main different classes are to be considered: control charts for variables, where continuous characteristics are monitored; and control charts for attributes, where discrete variables are monitored. In addition, as a special type of control charts, time weighed charts are also outlined in the chapter. Finally, to guide users in the practice of control charts, a selection of the available ISO standards is provided.

Keywords

  • Control Charts
  • EWMA Charts
  • Standard Deviation Chart
  • CUSUM Chart
  • Upper Control Limit (UCL)

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   69.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   89.99
Price excludes VAT (USA)
  • Compact, lightweight 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

  1. Anhoej, J.: qicharts: quality improvement charts. http://CRAN.R-project.org/package=qicharts (2015). R package version 0.2.0

  2. Barbosa, E.P., Barros, F.M.M., de Jesus, E.G., Recchia, D.R.: IQCC: improved quality control charts. http://CRAN.R-project.org/package=IQCC (2014). R package version 0.6

  3. Cano, E.L., Moguerza, J.M., Redchuk, A.: Six Sigma with R. Statistical Engineering for Process Improvement. Use R!, vol. 36. Springer, New York (2012). http://www.springer.com/statistics/book/978-1-4614-3651-5

    Google Scholar 

  4. Flores, M., Naya, S., Fernandez, R.: qcr: quality control and reliability. http://CRAN.R-project.org/package=qcr (2014). R package version 0.1-18

  5. Gandy, A., Kvaloy, J.T.: Guaranteed conditional performance of control charts via bootstrap methods. Scand. J. Stat. 40, 647–668 (2013). doi:10.1002/sjos.12006

    CrossRef  MathSciNet  MATH  Google Scholar 

  6. ISO TC69/SC1–Terminology and Symbols: ISO 3534-1:2006 - Statistics – Vocabulary and symbols – Part 1: General statistical terms and terms used in probability. Published standard. http://www.iso.org/iso/catalogue_detail.htm?csnumber=40145 (2010)

  7. ISO TC69/SC1–Terminology and Symbols: ISO 3534-2:2006 - Statistics – Vocabulary and symbols – Part 2: Applied statistics. Published standard. http://www.iso.org/iso/catalogue_detail.htm?csnumber=40147 (2014)

  8. ISO TC69/SC4–Applications of statistical methods in process management: ISO 7870-4:2011 - Control charts – Part 4: Cumulative sum charts. Published standard. http://www.iso.org/iso/catalogue_detail.htm?csnumber=40176 (2011)

  9. ISO TC69/SC4–Applications of statistical methods in process management: ISO 11462-1:2001 - Guidelines for implementation of statistical process control (SPC) – Part 1: Elements of SPC. Published standard. http://www.iso.org/iso/catalogue_detail.htm?csnumber=33381 (2012)

  10. ISO TC69/SC4–Applications of statistical methods in process management: ISO 7870-3:2012 - Control charts – Part 3: Acceptance control charts. Published standard. http://www.iso.org/iso/catalogue_detail.htm?csnumber=40175 (2012)

  11. ISO TC69/SC4–Applications of statistical methods in process management: ISO 7870-2:2013 - Control charts – Part 2: Shewhart control charts. Published standard. http://www.iso.org/iso/catalogue_detail.htm?csnumber=40174 (2013)

  12. ISO TC69/SC4–Applications of statistical methods in process management: ISO 7870-1:2014 - Control charts – Part 1: General guidelines. Published standard. http://www.iso.org/iso/catalogue_detail.htm?csnumber=62649 (2014)

  13. ISO TC69/SC4–Applications of statistical methods in process management: ISO 7870-5:2014 - Control charts – Part 5: Specialized control charts. Published standard. http://www.iso.org/iso/catalogue_detail.htm?csnumber=40177 (2014)

  14. Knoth, S.: spc: statistical process control—collection of some useful functions. http://CRAN.R-project.org/package=spc (2015). R package version 0.5.1

  15. Montgomery, D.: Statistical Quality Control, 7th edn. Wiley Global Education, New York (2012)

    Google Scholar 

  16. Sarkar, D.: Lattice: Multivariate Data Visualization with R. Springer, New York (2008). http://lmdvr.r-forge.r-project.org. ISBN 978-0-387-75968-5

  17. Scrucca, L.: qcc: an r package for quality control charting and statistical process control. R News 4/1, 11–17 (2004). http://CRAN.R-project.org/doc/Rnews/

  18. Shewhart, W.: Economic Control of Quality in Manufactured Products. Van Nostrom, New York (1931)

    Google Scholar 

  19. Wickham, H.: ggplot2: Elegant Graphics for Data Analysis. Use R! Springer, New York (2009)

    Google Scholar 

  20. Zhu, W., Park, C.: edcc: An R package for the economic design of the control chart. J. Stat. Softw. 52(9), 1–24 (2013). http://www.jstatsoft.org/v52/i09/

Download references

Author information

Authors and Affiliations

  1. Department of Computer Science and Statistics, Rey Juan Carlos University, Madrid, Spain

    Emilio L. Cano & Javier M. Moguerza

  2. Statistics Area, DHEP, The University of Castilla-La Mancha, Ciudad Real, Spain

    Emilio L. Cano

  3. ENUSA Industrias Avanzadas, Madrid, Spain

    Mariano Prieto Corcoba

Authors
  1. Emilio L. Cano
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Javier M. Moguerza
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mariano Prieto Corcoba
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and Permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Cano, E.L., Moguerza, J.M., Corcoba, M.P. (2015). Control Charts with R. In: Quality Control with R. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-24046-6_9

Download citation

search

Navigation