One of the core tools of Six Sigma is Statistical Process Control (SPC), also known as Control Charts. This chart helps you identify the stability of a process, baseline historical performance, and identify new trends, shifts and outliers in the process.
We will perform class exercises using candy, to manually create control charts, and identify out of control conditions (using Western Electric and Nelson Rules).
During the class, we will create many types of control charts, including: X-bar and R, X-bar and S, Individuals and Moving Range, P, NP, U and C charts. We will use Minitab statistical software and example data sets from various industries, but templates for Excel will also be provided.
Upon completion of the workshop, you will have a good knowledge of how to calculate control limits for each control chart, how to identify out of control conditions, and how to create them in Minitab.
For advanced users of SPC, check out our Advanced SPC course, which goes into more complex control charts.