Process Capability Analysis with R

  • Emilio L. Cano
  • Javier M. Moguerza
  • Andrés Redchuk
Chapter
Part of the Use R! book series (USE R, volume 36)

Abstract

Capability analysis is a very important part of the Measure phase in a Six Sigma project. It is also part of classical statistical process control. Through capability analysis we can measure how the process performance fits the customer/client requirements. These requirements must be translated into the specification limits for the characteristic of interest. Over the years, many advances have been made, especially regarding nonnormality, nonlinearity, processes with multiple characteristics, and many others. In this chapter, we will gradually go over the specifications, process performance, their relationship, and the capability indices. We will illustrate the concepts through a practical example.

References

  1. 34.
    Gygi, C., DeCarlo, N., & Williams, B. (2005). Six sigma for dummies. Hoboken: Wiley.Google Scholar
  2. 46.
    John, A., Meran, R., Roenpage, O., Lunau, S., Staudter, C., & Schmitz, A. (2008). Six Sigma+Lean Toolset. Berlin: Springer.Google Scholar
  3. 69.
    Montgomery, D. (2005). Introduction to statistical quality control (6th ed.). New York: Wiley.Google Scholar
  4. 77.
    Pearn, W., & Kotz, S. (2006). Encyclopedia and handbook of process capability indices: A comprehensive exposition of quality control measures. Series on quality, reliability & engineering statistics. New York: World Scientific.Google Scholar
  5. 88.
    Roth, T. (2011). qualityTools: Statistics in quality science. R package version 1.50.Google Scholar
  6. 93.
    Scrucca, L. (2004). qcc: An r package for quality control charting and statistical process control. R News, 4(1), 11–17, http://CRAN.R-project.org/doc/Rnews/.
  7. 98.
    Spano’, A. (2011). qAnalyst: Control charts, capability and distribution identification. http://CRAN.R-project.org/package=qAnalyst, r package version 0.6.4.

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  • Emilio L. Cano
    • 1
  • Javier M. Moguerza
    • 1
  • Andrés Redchuk
    • 1
  1. 1.Department of Statistics and Operations ResearchRey Juan Carlos UniversityMadridSpain

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