Quality Control with R pp 239-270

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

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Control Charts with R

  • Emilio L. Cano
  • Javier M. Moguerza
  • Mariano Prieto Corcoba


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.


  1. 1.
    Anhoej, J.: qicharts: quality improvement charts. http://CRAN.R-project.org/package=qicharts (2015). R package version 0.2.0
  2. 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. 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
  4. 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. 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.12006MathSciNetCrossRefMATHGoogle Scholar
  6. 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. 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. 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. 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. 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. 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. 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. 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. 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. 15.
    Montgomery, D.: Statistical Quality Control, 7th edn. Wiley Global Education, New York (2012)Google Scholar
  16. 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. 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. 18.
    Shewhart, W.: Economic Control of Quality in Manufactured Products. Van Nostrom, New York (1931)Google Scholar
  19. 19.
    Wickham, H.: ggplot2: Elegant Graphics for Data Analysis. Use R! Springer, New York (2009)Google Scholar
  20. 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/

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Emilio L. Cano
    • 1
    • 2
  • Javier M. Moguerza
    • 1
  • Mariano Prieto Corcoba
    • 3
  1. 1.Department of Computer Science and StatisticsRey Juan Carlos UniversityMadridSpain
  2. 2.Statistics Area, DHEPThe University of Castilla-La ManchaCiudad RealSpain
  3. 3.ENUSA Industrias AvanzadasMadridSpain

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