We’re excited to bring you this free e-learning course on Statistical Process Control. The course includes many topics, some for beginners new to SPC, and some for more advanced SPC practitioners. You can choose your skill level and take the parts of the course that are most interesting to you.
- Lesson 1 is an introduction to SPC and quality methods.
- Lessons 2 and 3 contain the basics of Shewhart charts and process capability.
- If you already know the basics, look at Lessons 4 and 5 for charts to detect small shifts, charts to control multiple related processes at the same time, charts for counts and rates and rare events, charts to control multiple sources of variation, and charts for controlling data which are positively autocorrelated over time. Lesson 5 also contains information on the process for setting up control charts, including how to decide what to chart, sampling frequency and sampling plan, and how much data to collect.
- The course ends with three capstone exercises.
For more details on what is covered in each lesson and section, scroll down below the video player.
Please download the course file (statistical-process-control-journal.zip) at the top of the page to use in the course.
The course was developed using JMP version 16. Slight menu changes occur with version 17. New Features in the platforms used in this course can be found by going to Help > New Features > Quality and Process Platforms. Please send any feedback about the course to Ruth.Hummel@jmp.com with the title “Feedback on SPC Course” .
- To learn about the 7 basic quality tools and how to do them in JMP, take Lesson 1.
- To learn about Individual charts and Xbar and Range or Standard deviation charts, take Lesson 2.
- To learn about the many ways a chart can signal an out of control situation, take Lesson 2 sections 4 and 5.
- To learn how to adjust limits based on skewed data, take Lesson 2 section 7.
- To learn all about process capability indices (what they are, how to calculate them and how to handle many variables), take Lesson 3.
- To learn about charts that will react to small changes faster than a classic Shewhart chart, take Lesson 4 - Section 1 on CUSUM and EWMA charts.
- To learn about handling many variables that might change together, take Lesson 4 -Section 2 on Model Driven Multivariate Control charts.
- To learn about Attribute control charts, take Lesson 5, Section 1.
- To learn about handling multiple sources of variation in your process data take Lesson 5, Section 2.
- To learn one method of handling autocorrelation in your process data, take Lesson 5, Section 3.
- To learn some ideas on how to set up a new SPC system, take Lesson 5, Section 4.
- To practice your SPC skills, take Lesson 6.
