
An introduction to this course, "Process Capability Analysis"
By having an overview of the manufacturing development process, it's much easier to see where Process Capability Analysis is best applied. Excel spreadsheets and additional info attached to this lecture.
A continuation of the Manufacturing Development Process.
A continuation of the Manufacturing Development Process.
This video shows you a real manufacturing process in action: Donut-making!! The it ideas a few of the key process and product parameters.
A discussion of the available measurement systems and their accuracies.
Should you measure 100% of the parts you produce or just a sample of them? It depends on the application.
Picking the correct sampling option for your application.
Why a 30 piece sample size matters.
Understanding the arithmetic mean as a cornerstone to Process Capability Analysis
How to measure the spread, or dispersion of data.
The histogram is one of the seven quality tools. It is effective is visualizing your capability data, and estimating its underlying probability distribution.
The most common underlying statistical distribution and a key input to process capability analysis.
A continued exploration of this very important probability distribution.
The first pair of capability indices, used to examine a "population" of process data.
A continuation of this first pair of capability indices.
Wrap up of Pp and Ppk to measure the capability of a population.
A slight twist when applying Pp and Ppk to a "sample" of data.
Another of the seven quality tools, the run chart is the foundation for the second pair of capability indices: Cp and Cpk.
The math behind these critical indices.
Using Excel to calculate Cp and Cpk.
What does it all mean? Interpreting your process capability results.
One of the most commonly misunderstood aspects or capability analysis: What's the difference between Cpk and Ppk?
A graphical look at the differences between Cpk and Ppk.
Closing thoughts on interpreting your results.
One of the most commonly asked questions ... how to deal with one-sided tolerances.
A model showing the effect of targeting your process on financial loss.
Calculating Cpm to determine a process's capability relative to its target.
Calculating Cpm in Excel.
Applications of Cpm.
Once you calculate the estimated x-bar and sigma for a population, and determine that it has an underlying normal population distribution, you can plug your parameters into Excel to easily calculate the percent of the population above and/or below values you choose. This method is an excellent way to estimate the percent of a population outside your specification limits.
Continued in Excel.
A slightly more complicated, yet more realistic version of the above scenario. This version has values both above the USL and below the LSL.
Continue in Excel.
Calculating the cost of quality defects through a process requires some simple data modeling and formulas that may not be intuitive. This video shows how to model quality defect costs through a series of processes.
Combining what we learned about estimating the percent defective in a process using our capability data with costing defects through a series of processes is powerful. This video shows you how to build a data model that will show the value of improvement opportunities.
Closing thought on the course.
Master the Tools That Separate Great Quality Professionals from Good Ones
Do you analyze production data but still feel unclear about what Cp, Cpk, Pp, or Ppk actually mean? Are you prepping for an ASQ exam or driving a Six Sigma project and need to truly understand process performance?
This course gives you the tools, templates, and confidence to apply Process Capability Analysis (PCA) across a wide range of manufacturing and quality challenges.
What You’ll Learn:
How to analyze population and sample data to assess process capability
The difference between Cp/Cpk and Pp/Ppk, and when to use each
How to work with control chart data and interpret capability over time
Advanced concepts like one-sided tolerances, Taguchi’s Loss Function, and Cpm
How to build capability analysis tools using Microsoft Excel
Practical use cases, costing defects, and integrating PCA with SPC and quality cost systems
All with downloadable templates, cheat sheets, and real-world examples that make the math approachable and the concepts stick.
Who Should Take This Course?
Manufacturing & Quality Professionals
Apply data-driven decisions to real production problems and improve yield, consistency, and customer satisfaction.
Engineers New to Quality or Six Sigma
Whether you're early in your career or shifting into a process improvement role, this course builds foundational understanding and confidence.
Green Belts, Black Belts & CI Practitioners
Use capability indices to diagnose variation, set improvement targets, and communicate results clearly.
Professionals in Regulated or Precision Industries
If you're in aerospace, medical devices, automotive, or food manufacturing, process capability is essential for meeting regulatory and customer expectations.
Why This Course Stands Out:
Over 10,400 students enrolled
Average rating: 4.7+ stars
Step-by-step Excel demonstrations
Includes downloadable templates and job aids
Taught by a passionate, experienced instructor who makes complex topics easy to follow
What Your Colleagues Say:
“Clarity on confusing Process Capability concepts… lecture very good and passionate.” — Kemsley J.
“A great way to gain experience with PCA. Explanations were thorough, and the examples made the statistics come to life.” — Chris F.
“I work in manufacturing and this course gave me a better understanding of Cpk and Ppk. Easy to follow, even for a dry topic!” — Robin S.
Ready to Advance Your Skills?
If you want to level up in quality, prepare for certification, or simply understand your process better, this course is for you.
Sign up now and transform how you use data to drive performance.