Process Capability Analysis
4.5 (333 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,394 students enrolled

Process Capability Analysis

A Powerful Tool Set for Understanding your Manufacturing Process
4.5 (333 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,394 students enrolled
Created by Ray Harkins
Last updated 6/2020
English
English [Auto]
Current price: $34.99 Original price: $49.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 6 hours on-demand video
  • 4 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Learn to build histograms and compute the capability statistics in Microsoft Excel
  • Calculate and interpret process capability indices like Cp, Cpk, Pp, Ppk and Cpm.
  • Understand the exact differences between Cpk and Ppk
  • How to apply Process Capability Analysis to manufacturing improvement projects or new parts
  • Interpret the results of a capability study to drive process improvement
  • Advanced PCA topics such as dealing with one-sided tolerance and non-centered process targets, estimating percent defective using capability indices, and combining PCA with quality costing.
Requirements
  • Basic knowledge of manufacturing
  • Basic knowledge of print reading and mathematics
  • Eagerness to expand quality knowledge base
Description

Capability analysis is a computational method for comparing the output of a manufacturing process to its engineered specification limits. It's also an essential set of tools for new process development, 6-sigma projects, Statistical Process Control, and process monitoring. This set of tools can be applied to product characteristics such as its size, weight and hardness, or to process characteristics such as temperature, voltage or flow.

This class, "Process Capability Analysis" starts at the beginning of how manufacturing processes are developed and analyzed. It moves on to the basic concepts of capability analysis along with it applications and math (both "on paper" and in Excel). You will learn how to analyze capability data for a population, for a sample drawn from a population, and from the data found on control charts. At the end, you will also learn more advanced topics such as dealing with one-sided tolerances and an alternate capability index call Cpm. Plus, you'll receive all the Excel templates and "cheat sheets" you'll need to apply this to your manufacturing projects.

By the end of this course, you will have a thorough understanding of capability analysis, and be able to apply these tools broadly across a wide range of production problems.

Also, if you are studying for your ASQ CQE, CQT or CQIA exams, this is essential material. I carefully explained the difference between Cpk and Ppk, between analyzing a population and a sample, and how to interpret your capability analysis results; all critical elements on these exams.

Hear what you're colleagues are saying about Process Capability Analysis:

“This Process Capability Analysis class is awesome!” - Lawrence M.

“Clarity on the confusing Process Capability concepts and how to apply them was well explained. Lecture very good and passionate about the subject. Thank you very much, really enjoyed the course from start to finish.” - Kemsley J.

“I'm a quality manager, consultant and project manager in the food industry. This course was a great way to for me to gain experience with process capability analysis. The explanations were thorough and the examples made the math and statistics come to life. I recommend this to anyone who wants to better understand the measures of process capability.” - Chris F.

“A comprehensive knowledge of utilizing Pp and Cp Indices. Also the instructor have good knowledge and understanding of the topic.” - Nasir M.

“I work in manufacturing and appreciated this courses focus on Cpk and Ppk . it gave me a better understanding of what I was looking at when i analyzed process capability data. it is definitely worth taking if you use process capability charts. Easy to follow and made a dry topic easy to follow and complete!” - Robin S.

“Great course! If you work in a manufacturing environment, you will find that the lessons are very applicable to your everyday dealings with quality. The instructor (Ray) mentions that even many quality professionals are 'fuzzy' with some of these concepts. I have found that to be true in my experience. I much appreciate Ray Harkins for delivering this great content!” - Charles S.

“Great refresher course!” - Wallace Y.

If you want to excel as a quality or manufacturing professional, you must understand and be able to apply PROCESS CAPABILITY ANALYSIS. Sign up today!!!

Who this course is for:
  • Quality inspectors, technicians, engineers and managers
  • Manufacturing professionals
  • Industrial engineers
  • Continuous improvement professionals
  • Six Sigma practitioners
Course content
Expand 48 lectures 06:02:23
+ Introduction
48 lectures 06:02:23

An introduction to this course, "Process Capability Analysis"

Preview 07:08

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.

02 The Manufacturing Development Process, Part 1
05:59

A continuation of the Manufacturing Development Process.

03 The Manufacturing Development Process, Part 2
04:58
04 The Manufacturing Development Process., Pt 3
03:13

A continuation of the Manufacturing Development Process.

05 The Manufacturing Development Process, Pt 4
02:47

This video shows you a real manufacturing process in action:  Donut-making!! The it ideas a few of the key process and product parameters.

Preview 16:33

A discussion of the available measurement systems and their accuracies.

07 Measurement Systems, Pt 1
12:01
08 Measurement Systems, Pt 2
08:47

Should you measure 100% of the parts you produce or just a sample of them? It depends on the application.

09 Sampling Options, Pt 1
05:57

Picking the correct sampling option for your application.

10 Sampling Options, Pt 2
14:08

Why a 30 piece sample size matters.

11 A Quick Word about Sampling Size
08:32

Understanding the arithmetic mean as a cornerstone to Process Capability Analysis

12 The Arithmetic Mean
03:43

How to measure the spread, or dispersion of data.

13 Standard Deviation
08:51

The histogram is one of the seven quality tools. It is effective is visualizing your capability data, and estimating its underlying probability distribution.

14 Building a Histogram is Excel
11:01
15 Excel's Data Analysis Add-in
02:11

The most common underlying statistical distribution and a key input to process capability analysis.

16 The Normal Distribution, Pt 1
11:04

A continued exploration of this very important probability distribution.

17 The Normal Distribution, Pt 2
05:26

Skew measure the "lean" right or left of a distribution, and kurtosis measures its flatness.

18 Skewness and Kurtosis
07:07
19 Plotting the Distribution Curve
08:54

The first pair of capability indices, used to examine a "population" of process data.

20 Pp and Ppk, Pt 1
08:39

A continuation of this first pair of capability indices.

21 Pp and Ppk, Pt 2
05:43

Wrap up of Pp and Ppk to measure the capability of a population.

22 Pp and Ppk, Pt 3
14:00

A slight twist when applying Pp and Ppk to a "sample" of data.

23 Pp and Ppk for Sample Data
07:08

Another of the seven quality tools, the run chart is the foundation for the second pair of capability indices: Cp and Cpk.

24 The Run Chart
03:33

The math behind these critical indices.

25 Cp and Cpk, Pt 1
06:11

Using Excel to calculate Cp and Cpk.

26Cp and Cpk, Pt 2
03:38

What does it all mean? Interpreting your process capability results.

27 Interpreting Your Results, Pt 1
16:01

One of the most commonly misunderstood aspects or capability analysis: What's the difference between Cpk and Ppk?

28 What's the difference between Cpk and Ppk?
09:33

A graphical look at the differences between Cpk and Ppk.

29 Interpreting Your Results, Pt 3
02:33

Closing thoughts on interpreting your results.

30 Interpreting Your Results, Pt 4, Using DPPM
07:53

The introduction to a few "advanced" topics in capability analysis.

31 An Introduction to Special Topics
02:57

A simple review quiz of the previous material

Capability Analysis
3 questions

One of the most commonly asked questions ... how to deal with one-sided tolerances.

32 Dealing with One-Sided Tolerances
11:16

A model showing the effect of targeting your process on financial loss.

Preview 07:59

Calculating Cpm to determine a process's capability relative to its target. 

34 Cpm: Its Math and Application
04:38

Calculating Cpm in Excel.

35 More on Cpm
03:18

Applications of Cpm.

36 Using Cpm in the Real World
04:52

Closing thought on the course.

37 Conclusion
03:39

"Real Life" example exercises that you can complete to practice you're newly learned skills. Solution provides within.

UPDATE: Practical Exercises
09:12

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.

Finding % Out of Tolerance in Excel, Pt 1
05:04

Continued in Excel.

Finding % Out of Tolerance in Excel, Pt 2
04:46

A slightly more complicated, yet more realistic version of the above scenario. This version has values both above the USL and below the LSL.

Finding % Out of Tolerance in Excel, Pt 3
03:53

Continue in Excel.

Finding % Out of Tolerance in Excel, Pt 4
06:09

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.

Costing Defects Through A System
07:55

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.

Combining PCA with Quality Costs
12:26
Coefficient of Variation
07:38
Sturges' Rule
07:08
Keep Learning!!
19:08