Quality Control with R pp 221-236

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

| Cite as

Quality Specifications and Process Capability Analysis with R

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

Abstract

In order to assess quality, specification limits are to be established. In this chapter a method to set specification limits taking into account customers’ and producer’s loss is presented. Furthermore, the specification limits are the voice of the customer, and quality can be assessed by comparing it with the voice of the process, that is, its natural limits. Capability indices and the study of long- and short-term variability do the job.

References

  1. 1.
    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). url http://www.springer.com/statistics/book/978-1-4614-3651-5
  2. 2.
    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 (2010). url http://www.iso.org/iso/catalogue_detail.htm?csnumber=40145
  3. 3.
    ISO TC69/SC1–Terminology and Symbols: ISO 3534-2:2006 - Statistics – Vocabulary and symbols – Part 2: Applied statistics. Published standard (2014). url http://www.iso.org/iso/catalogue_detail.htm?csnumber=40147
  4. 4.
    ISO TC69/SC4–Applications of statistical methods in process management: ISO 22514-3:2008 - Statistical methods in process management – Capability and performance – Part 3: Machine performance studies for measured data on discrete parts. Published standard (2011). url http://www.iso.org/iso/catalogue_detail.htm?csnumber=46531
  5. 5.
    ISO TC69/SC4–Applications of statistical methods in process management: ISO 22514-7:2012 - Statistical methods in process management – Capability and performance – Part 7: Capability of measurement processes. Published standard (2012). url http://www.iso.org/iso/catalogue_detail.htm?csnumber=54077
  6. 6.
    ISO TC69/SC4–Applications of statistical methods in process management: ISO 22514-2:2013 - Statistical methods in process management – Capability and performance – Part 2: Process capability and performance of time-dependent process models. Published standard (2013). url http://www.iso.org/iso/catalogue_detail.htm?csnumber=46530
  7. 7.
    ISO TC69/SC4–Applications of statistical methods in process management: ISO 22514-6:2013 - Statistical methods in process management – Capability and performance – Part 6: Process capability statistics for characteristics following a multivariate normal distribution. Published standard (2013). url http://www.iso.org/iso/catalogue_detail.htm?csnumber=52962
  8. 8.
    ISO TC69/SC4–Applications of statistical methods in process management: ISO/TR 22514-4:2007 - Statistical methods in process management – Capability and performance – Part 4: Process capability estimates and performance measures. Published standard (2013). url http://www.iso.org/iso/catalogue_detail.htm?csnumber=46532
  9. 9.
    ISO TC69/SC4–Applications of statistical methods in process management: ISO 22514-1:2014 - Statistical methods in process management – Capability and performance – Part 1: General principles and concepts. Published standard (2014). url http://www.iso.org/iso/catalogue_detail.htm?csnumber=64135
  10. 10.
    ISO TC69/SC4–Applications of statistical methods in process management: ISO 22514-8:2014 - Statistical methods in process management – Capability and performance – Part 8: Machine performance of a multi-state production process. Published standard (2014). url http://www.iso.org/iso/catalogue_detail.htm?csnumber=61630
  11. 11.
    ISO TC69/SC8–Application of statistical and related methodology for new technology and product development: ISO 16336:2014 - Applications of statistical and related methods to new technology and product development process – Robust parameter design (RPD). Published standard (2014). url http://www.iso.org/iso/catalogue_detail.htm?csnumber=56183
  12. 12.
    Knight, E., Russell, M., Sawalka, D., Yendell, S.: Taguchi quality loss function and specification tolerance design. Wiki (2007). url https://controls.engin.umich.edu/wiki/index.php/Taguchi_quality_loss_function_and_specification_tolerance_design. In Michigan chemical process dynamics and controls open textbook. Accessed 23 June 2015
  13. 13.
    Montgomery, D.: Statistical Quality Control, 7th edn. Wiley Global Education, New York (2012)Google Scholar
  14. 14.
    Pearn, W., Kotz, S.: In: Encyclopedia and Handbook of Process Capability Indices: A Comprehensive Exposition of Quality Control Measures. Series on Quality, Reliability & Engineering Statistics. World Scientific, Singapore (2006)Google Scholar
  15. 15.
    Sarkar, D.: Lattice: Multivariate Data Visualization with R. Springer, New York (2008). url http://lmdvr.r-forge.r-project.org. ISBN 978-0-387-75968-5
  16. 16.
    Taguchi, G., Chowdhury, S., Wu, Y.: Taguchi’s Quality Engineering Handbook. Wiley, Hoboken (2005)Google Scholar

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

Personalised recommendations