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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

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 topics such as one-sided targets, estimating % defective using capability indices, skew, and kurtosis

Requirements

  • You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
  • No previous design experience is needed.
  • No previous Adobe XD skills are needed.

Course Content

27 sections • 95 lectures
Expand All Sections
1-Introduction
58
1.1-Introduction to "Process Capability Analysis"
1.2-The Manufacturing Development Process, Part 1
1.3-The Manufacturing Development Process, Part 2
1.4-The Manufacturing Development Process., Pt 3
1.5-The Manufacturing Development Process, Pt 4
1.6-Key Process and Product Characteristics
1.7-Measurement Systems, Pt 1
1.8-Measurement Systems, Pt 2
1.9-Sampling Options, Pt 1
1.10-Sampling Options, Pt 2
1.11-A Quick Word about Sampling Size
1.12-The Arithmetic Mean
1.13-Quiz on Arithmetic Mean
1.14-Standard Deviation
1.15-Quiz on Standard Deviation
1.16-Building a Histogram is Excel
1.17-Excel's Data Analysis Add-in
1.18-The Normal Distribution, Pt 1
1.19-The Normal Distribution, Pt 2
1.20-Modality
1.21-Skew
1.22-Kurtosis
1.23-Plotting the Distribution Curve
1.24-Pp and Ppk, Pt 1
1.25-Pp and Ppk, Pt 2
1.26-Pp and Ppk, Pt 3
1.27-Pp and Ppk for Sample Data
1.28-Quiz on Pp and Ppk
1.29-The Run Chart
1.30-Cp and Cpk, Pt 1
1.31-Cp and Cpk, Pt 2
1.32-Interpreting Your Results, Pt 1
1.33-What's the difference between Cpk and Ppk?
1.34-Interpreting Your Results, Pt 3
1.35-Interpreting Your Results, Pt 4, Using DPPM
1.36-Capability Analysis
1.37-Dealing with One-Sided Tolerances
1.38-Taguchi's Loss Function
1.39-Cpm: Its Math and Application
1.40-More on Cpm
1.41-Using Cpm in the Real World
1.42-38 Intermission and Practical Exercises
1.43-Finding % Out of Tolerance in Excel, Pt 1
1.44-Finding % Out of Tolerance in Excel, Pt 2
1.45-Finding % Out of Tolerance in Excel, Pt 3
1.46-Finding % Out of Tolerance in Excel, Pt 4
1.47-Costing Defects Through A System
1.48-Combining PCA with Quality Costs
1.49-Coefficient of Variation
1.50-SPC versus PCA
1.51-Sturges' Rule
1.52-Quiz on Sturges' Rule
1.53-Z Score
1.54-Applying Z Score
1.55-Norm Functions in Excel
1.56-Calculating Equivalent Cpk
1.57-Conclusion
1.58-Bonus Lecture