You've collected informative data, but now what?  It’s nearly impossible to control processes—let along improve them—without the application of statistical tools. Statistical process control may seem intimidating, but it doesn’t have to be.  This course will help you understand the powerful statistical tools that are required, and be able to use them to make the most of your organizational processes.

Learn ways to control your processes and thus ensure that they meet established performance criteria. Discover different ways to plot data using control charts that are appropriate to the type of data you want to examine. Understand the different types of control charts.  Be able to determine which control charts are most appropriate in which situations and with which kinds of data sets.

Course Objectives

• Present methods that facilitate the process control and signal situations where processes deviate from established targets.
• Introduce the various types of control charts.
• Understand which control charts are appropriate for specific data sets.
• Learn the pitfalls of working with control charts (do’s and don’ts).

Main Topics

• Methods for monitoring and control
  • Process management charts
  • Visual controls
• Variation and individuals control charts
• Control charts for high-volume processes with subgroups
  • Xbar and R charts 
• Control charts for detecting small shifts quickly
  • Exponentially weighted moving average
• Control charts for discrete variables
  • P and NP charts
  • C and U charts
• Using Minitab^TM in support of statistical tools 

Who Should Attend

Managers and professionals who are engaged in controlling process data to ensure that they meet established targets, as well as associated quality, engineering, manufacturing, process, and industrial personnel.  Also valuable for anyone involved in a Lean and/or Six Sigma deployment.

This course requires the use of Minitab^TM statistical software; attendees are responsible for bringing laptops with Minitab^TM  to the class.

CEUs: 1.5
Number of Days: 2