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Process Capability Analysis | For Engineers

Name: Process Capability Analysis | For Engineers
Rating: 4.1 (37 reviews)

Full Course | All Topics Covered | Six Sigma Analysis Tool | Easy & Simplified

Created byAli Suleiman

Last updated 12/2019

English

What you'll learn

Process Capability Analysis
Process Capability Indices: Cp Cpk Cpm Pp Ppk
Process Optimization Methods
Control Charts
Statistical Process Control
Six Sigma in Process Capability
Data Distributions
Normality Test
Normal Distributions
Process Performance
Pareto Chart
Examples and Exercises

Course content

3 sections • 17 lectures • 1h 38m total length

Data Distributions4:01
This section will introduce to you the data distributions with emphasis on normal distribution. It will also show how a normality test can be performed. The section will also cover the topics: mean and variance, and links them to the measures of performance.
Normal Distribution2:28
Normal Distribution is one of the most important distribution types. This lecture will provide you with an clear definition for normal distribution, the logic behind its shape and its applications along with illustrating the reason behind its importance. Examples on normal distribution are included as well.
Normality Testing5:38
This section will show you how to simply check if your data is normally distributed, using either Excel or Minitab.
Mean & Variance9:49
This section will explain the terms, mean and variance, in statistics along with tips and good practices in this regard. The lecture will also show how to calculate the mean and variance manually, by excel and by Minitab.
Measures of Performance2:33
This lecture will show how mean and standard deviation are identified as measures of performance.

Process Definition7:53
This lecture will provide a clear definition to the term "Process" along with introducing a real example on a manufacturing process along with illustration on specification limits and scrap rate.
The Sigma Levels4:44
This section gives an overview on the sigma levels which are adopted by industries as measures of quality. The section will list all numerical data related to each sigma level from 1 up to 6 to be taken as a reference for the student.
Cp and Cpk12:55
This lecture provides a clear explanation over the capability indices Cp and Cpk along with real life example.
Cpm5:59
This lecture introduces the Cpm index along with the background behind its existence. The lecture will also show how Cpm can be calculated using either excel or Minitab.
Pp and PpK6:52
This lecture introduce the two indices Pp and Ppk. It also illustrate the difference between them toward the previously introduced indices Cp and Cpk. The lecture will also show how a Ppk analysis can be done using Minitab.
Statistical Process Control10:50
This lecture introduces the control chart for visualizing process performance over the production time line. It also show how the chart can be used to confirm if process is under statistical process control or not. Added to that, the lecture shows how Cpk and Ppk can be used to evaluate if process is being under statistical process control or not. Along with that, the lecture shows how to build a control chart using either excel or Minitab.

The optimal Distribution2:46
This lecture illustrates how the normal distribution in regard to production is better than other distributions, especially when speaking about quality and customer satisfaction. A historical example is provided to show the difference.
The Loss Function3:15
This lecture explains how the process can be optimized per an illustration on the loss function. It also give a visualization on what happens to the distributions when optimization is performed.
The P-Diagram2:40
This lecture introduces the P-Diagram, which is a crucial step when planning to optimize the process. The P-diagram serves as a mapping for the processes identifying all the factors that impact the process output.
Sources of Variation1:56
This lecture will give an overview on the variable source of variation which you may encounter when studying any process. The next lecture is meant to focus with more details on these variations.
The Optimization Algorithm9:36
The optimization algorithm start from the system way down to the level of individual parameters. 7 Steps are explained in this lecture starting from setting our goal all the way to confirming the achievement of our goal, which is to optimize the Cpk of the process.
Implementation4:14
This lecture will show how the defined optimization measures can be implemented efficiently in regard to time. Implementation time for optimization measures, is very important as the production is ongoing and we don't want to interrupt the machines for too long and also to start reducing the scrap and improving the yield as soon as possible.

Requirements

Engineering Background

Description

This course has all what you need!

This complete course will drive you to be an expert in process capability analysis, along with a special learning experience and having all topics covered, simplified and clear.

No prerequisites are needed as the course itself, through section I, will give you all the knowledge that makes you ready to start learning process capability analysis.

Furthermore, the course has examples almost on each discussed topic in order to bring a better understanding of each idea.

The course also show how you can conduct process capability analysis through either Excel or Minitab.

Per what has been mentioned, the course is definitely a good deal for you.

As for the course content.

It starts with introducing important topics such as data distributions, the normal distribution, normality testing and measures of performance.

It then defines the process capability along with its all related indices ( Cp Cpk Cpm Pp Ppk) along with an illustration on the sigma levels, scrap rate, defects per million opportunities ( DPMO ), statistical process control and man others.

As capability analysis is covered, the course then introduces to you all the main optimization techniques for improving the process capability through 7 main steps within the optimization algorithm.

Finally, you will learn how to implement your optimization measures on the process more efficiently in regard to time.

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Who this course is for:

Engineers
Engineering Students
Engineering Fresh Graduates
Six Sigma Practioners

Process Capability Analysis | For Engineers

What you'll learn

Explore related topics

Course content

Introduction5 lectures • 24min

Process Capability Analysis6 lectures • 49min

Process Capability Optimization6 lectures • 24min

Requirements

Description

Who this course is for: