qualityTools (version 1.49)
Statistical Methods for Quality Science
Description
This Package contains methods associated with the Define,
Measure, Analyze, Improve and Control (i.e. DMAIC) cycle of the
Six Sigma Quality Management methodology.It covers distribution
fitting, normal and non-normal process capability indices,
techniques for Measurement Systems Analysis especially gage
capability indices and Gage Repeatability (i.e Gage RR) and
Reproducibility studies, factorial and fractional factorial
designs as well as response surface methods including the use
of desirability functions. Improvement via Six Sigma is project
based strategy that covers 5 phases: Define - Pareto Chart;
Measure - Probability and Quantile-Quantile Plots, Process
Capability Indices for various distributions and Gage RR
Analyze i.e. Pareto Chart, Multi-Vari Chart, Dot Plot; Improve
- Full and fractional factorial, response surface and mixture
designs as well as the desirability approach for simultaneous
optimization of more than one response variable. Normal, Pareto
and Lenth Plot of effects as well as Interaction Plots; Control
- Quality Control Charts can be found in the qcc package. The
focus is on teaching the statistical methodology used in the
Quality Sciences.