Six Sigma Data Measurement, Analysis and Tools
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
The University of Wisconsin–Madison, as a member of the University Continuing Education Association (UCEA), authorizes this course for 2.1 Continuing Education Units (CEUs) or 21 hours, as well as 21 PDUs.
jcorkery@exed.wisc.edu