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Mastering Statistical Quality Control with Minitab

Statistical Methods for Quality Improvement
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Content

Platform: Udemy
Video: 4h 26m
Language: English
Next start: On Demand

Table of contents

Description

Start to learn the concepts and procedures of Statistical Quality Control, which are intensively used in business, engineering, manufacturing and in many places when decision making processes are driven by data and facts rather just by intuitive feelings.
The course covers the core chapters of Statistical Quality Control and it helps understanding and applying the most complex and sophisticated statistical methods in practice.
Learn how to decide which factors influence the key indicators of your product or service using the Analysis of Variance Method (ANOVA).
Completely Randomized Design.Randomized Block Design.Completely Randomized Design with Random Factor.One-way and Two-way Experimental Layout.Model Building in Multifactor Balanced Design.Get familiar with the concept of Statistical Process Control (SPC) and the proper use of Control Charts.
Stability and Capability of a process.Control Charts for Variables.Control Charts for Attributes.Application of Control Charts in Phase I and Phase II.Shewhart Charts.Cumulative Sum (CUSUM) Charts.Exponentially Weighted Moving Average (EWMA) Charts.Moving Average (MA) Charts.Normal and Non-normal data.Fast Initial Response Method.Learn how to quantify the actual and potential capability of your process to satisfy the needs of your costumer.
Product Characterization.Process Capability Analysis.Overall and Potential Capability.Capability Analysis with Non-normal Data.Learn the way of checking the capability of your measurement system to ensure the required precision.
Gauge and Measure System Analysis.The Analysis of Variance Method with Balanced ANOVA.Minitab Gage R&R Tools.This course is comprehensive and covers the core chapters of Statistical Quality Control.
35 video lectures.
5 hours.
Enjoy the benefit of the well-structured, short and yet comprehensive video lectures.
In these lectures all things happen inside a Minitab driven analysis.
All in one place, within the same video lesson, gaining computer skills, getting theoretical background, and mainly getting the ability to interpret the outputs properly.
These lessons are specially prepared with intensive screen animations, concise and yet comprehensive, well-structured explanations. If you like you can turn on subtitles to support the comprehension.
The verification of the assumptions for a test, the basic theoretical background or even the formulas applied in a procedure appear in these video tutorials at the right instances of the analysis. The outputs are explained in a detailed manner in such an order that enables you to make the appropriate conclusions.
In these video lectures Minitab is used not only to solve problems but to explore and demonstrate different concepts of Statistical Quality Control to make you easily familiar with rather complex concepts of the field.
Learn in a way when you watch the video and do the same simultaneously in your own Minitab.
Watching a video, pausing it and doing the same steps simultaneously in your own Minitab is the best way of getting experience and practice in data manipulation. Repeating the sessions with different sample data develops your skill to solve statistical problems with a software.

You will learn

✓ Get familiar with those chapters of Statistics, which are intensively used in Statistical Quality Control or in Six Sigma projects.
✓ Be the master of Minitab.
✓ Learn how to analyze and evaluate your Measurement System or how to use different Capability measures in the MEASURE phase to quantify the actual and the potential capability of your process. Learn how to conduct a Minitab session when you analyze your experiment with One- or Multifactor ANOVA in the ANALYSE phase and learn how to interpret the session outputs of the analysis properly.
✓ Get familiar with the concepts of Statistical Process Control and the technics of using Control Charts in the CONTROL phase for quality improvement either in the manufacturing or in the service sectors.

Requirements

• Download and install Minitab. Version 17.1 is used in the video lectures but earlier or later versions can also be used since little changes have been made in the way of manipulating data.
• Download the dataset used throughout the course. The dataset downloadable from the “Lecture 1. Introduction.”
• If you have never met Minitab software before take the free short course of “Getting Familiar with Minitab” where the screens and the most basic commands of Minitab are introduced.
• To complete this course you should be familiar with the basic concepts of Statistics. If you need help in this field or you want to polish your knowledge take my other course “Foundation of Statistics with Minitab”, here on Udemy and use the relevant chapters whenever you need.

This course is for

• The course is ideal for two groups of audiences.
• – For undergraduate or graduate students who have been studying Quality Management at their universities and who need help in understanding the concepts of statistical methods for quality improvement and want to get skill of using Minitab for problem solving in that area.
• – For professionals in the field of quality working on Lean Six Sigma projects and occasionally they need support in the proper use of statistical methods in the different phases of the project.
Professor of Applied Statistics
Engineer and mathematician teaching different subjects of Engineering and Mathematics for more than 20 years at a college in Hungary. Beside teaching he is intensively involved in industrial projects as a consultant or as a structural designer. His special fields are Quality Statistics, Statistical Process Control, Multivariate Statistical Analysis and Stochastic Processes. He was elected to the President of the Chamber of Engineers in Fejer county and holds several awards. He served as the rector of the College of Dunaujvaros for 8 years.
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Platform: Udemy
Video: 4h 26m
Language: English
Next start: On Demand

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