This course provides both the theoretical background and practical skills necessary to effectively apply the Six Sigma methodology in your business. It uses the powerful and proven concepts developed in statistical process control and provides you with the knowledge, tools and guidelines to apply them quickly and effectively within the DMAIC model. The focus is less on theory and more on how to apply these influential tools to conduct projects in your business. Understanding proper data collection methods and using the proper analysis tool from the myriad of possibilities will be emphasized. Data analysis techniques to uncover the root causes for process failure will be investigated, as well as how to implement lasting controls for sustained process improvement success.
You’ll learn to:
- Differentiate between
discrete and continuous
data and how it affects your
analysis
- Use and apply Gage R&R
to validate your measurement
system
- Select the proper analysis
tool for a specific situation:
Pareto charts, histograms,
scatter plots, normality
tests, ANOVA, correlation
and regression analysis
- Apply 2x2 Design of
Experiments
- Determine and undersand
the effects of Cp , Cpk and
other process capability
metrics
- Calculate sample size and
use it in determining the
scope of data collection
activities
- Validate and measure
the effect of process
improvements
- Choose and apply the
proper control tool: I-MR,
Xbar, u-chart, p-chart
- Apply Design of
Experiment tutorial analysis
to your improvement