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Other Tools and Methodologies

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Six Sigma with R

Part of the book series: Use R! ((USE R,volume 36))

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Abstract

In this chapter, we describe other tools and methodologies related to the topic of the book. In this way, we provide for the reader a global view of the advanced possibilities of Six Sigma and R. These tools include failure mode, effects, and criticality analysis (FMECA), design for Six Sigma (DFSS), lean, Gantt charts, and some advanced R reporting issues.

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Notes

  1. 1.

    Type example(plot.gantt) to see a similar example for the plan package.

  2. 2.

    http://ess.r-project.org/

  3. 3.

    www.walware.de/goto/statet

  4. 4.

    http://rstudio.org/

  5. 5.

    Visit http://www.statistik.lmu.de/~leisch/Sweave/ to learn more about Sweave.

  6. 6.

    Visit http://www.latex-project.org/ to learn more about LaTeX.

  7. 7.

    http://cran.r-project.org/doc/manuals/R-lang.pdf

References

  1. Chambers, J. M. (2008). Software for data analysis. Programming with R. Statistics and computing. Berlin: Springer.

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  2. El-Haik, B., & Roy, D. (2005). Service design for six sigma: A roadmap for excellence. New York: Wiley.

    Book  Google Scholar 

  3. John, A., Meran, R., Roenpage, O., Lunau, S., Staudter, C., & Schmitz, A. (2008). Six Sigma+Lean Toolset. Berlin: Springer.

    Google Scholar 

  4. Kelley, D. (2009). plan: Tools for project planning. http://CRAN.R-project.org/package=plan, r package version 0.3-1.

  5. Lemon, J. (2006). Plotrix: A package in the red light district of r. R-News, 6(4), 8–12.

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  6. Muir, A. (2005). Lean Six sigma statistics: Calculating process efficiencies in transactional projects. Six sigma operational methods series. New York: McGraw-Hill.

    Google Scholar 

  7. Xie, Y. (2012). knitr: A general-purpose package for dynamic report generation in R. http://CRAN.R-project.org/package=knitr, r package version 0.1.

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© 2012 Springer Science+Business Media New York

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Cano, E.L., Moguerza, J.M., Redchuk, A. (2012). Other Tools and Methodologies. In: Six Sigma with R. Use R!, vol 36. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3652-2_13

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