SixSigma (version 0.6.0)

SixSigma-package: Six Sigma Tools for Quality and Process Improvement

Description

This package contains functions and utilities to perform Statistical Analysis in the Six Sigma way. Through the DMAIC cycle (Define, Measure, Analyze, Improve, Control), you can manage several Quality Management studies: Gage R&R, Capability Analysis, Control Charts, Reliability, Regression and Design of Experiments.

Details

ll{ Package: SixSigma Type: Package Version: 0.5.0 Date: 2012-01-04 URL: http://rwiki.sciviews.org/doku.php?id=packages:cran:sixsigma License: GPL>=2 Depends: R(>=2.11), lattice, grid LazyLoad: yes LazyData: yes } Use the package to perform Six Sigma Methodology tasks, throughout its breakthrough strategy: Define, Measure, Analyse, Improve, Control (DMAIC) Define: Process Map (ss.pMap), Cause and effect Diagram (ss.ceDiag); Measure: Gage R&R study (ss.rr); Capability Analysis (ss.study.ca); Loss Function Analysis (ss.lfa) Analyze: Confidence Intervals (ss.ci) Soon: further functions

References

Allen, T. T. (2010) Introduction to Engineering Statistics and Lean Six Sigma - Statistical Quality Control and Design of Experiments and Systems (Second Edition ed.). London: Springer. Box, G. (1991). Teaching engineers experimental design with a paper helicopter. Report 76, Center for Quality and Productivity Improvement. University of Wisconsin. Chambers, J. M. (2008) Software for data analysis. Programming with R New York: Springer. Montgomery, DC (2005) Introduction to Statistical Quality Control (Fifth Edition). New York: Wiley&Sons Rey Juan Carlos University, Master in Decision Systems Engineering <http://www.masteringenieriasistemasdecision.com/> http://en.wikipedia.org/wiki/Six_Sigma

See Also

ss.ceDiag; ss.pMap; ss.rr; ss.ci

Examples

example(ss.ci)
example(ss.study.ca)
example(ss.rr)
example(ss.lf)
example(ss.lfa)
example(ss.ceDiag)
example(ss.pMap)
example(ss.ca.yield)
example(ss.ca.z)
example(ss.ca.cp)
example(ss.ca.cpk)