Leading with Designed Experiments: ANOVA and Taguchi Methods
Leading with Designed Experiments: ANOVA and Taguchi Methods, available at $44.99, has an average rating of 4.61, with 43 lectures, based on 9 reviews, and has 111 subscribers.
You will learn about A detailed overview of Design of Experiments (DOE) in the manufacturing context How DOE can improve your decision making skills What is Design of Experiments? Are where are they commonly used? Critical terms and definitions The Two Types of Experimental Error What is ANOVA? How is it used in decision making? Real-life examples of 1-way and 2-way ANOVA in Microsoft Excel An Overview of Full Factorial Experiments Fractional Factorial Experiments and the Taguchi Methods Examples of Taguchi Methods used to solve complex manufacturing problems Downloadable Excel templates This course is ideal for individuals who are Industrial engineers, Manufacturing engineers or Quality managers, Quality engineers, Quality technicians or Manufacturing managers, Continuous improvement professionals It is particularly useful for Industrial engineers, Manufacturing engineers or Quality managers, Quality engineers, Quality technicians or Manufacturing managers, Continuous improvement professionals.
Enroll now: Leading with Designed Experiments: ANOVA and Taguchi Methods
Summary
Title: Leading with Designed Experiments: ANOVA and Taguchi Methods
Price: $44.99
Average Rating: 4.61
Number of Lectures: 43
Number of Published Lectures: 43
Number of Curriculum Items: 43
Number of Published Curriculum Objects: 43
Original Price: $29.99
Quality Status: approved
Status: Live
What You Will Learn
- A detailed overview of Design of Experiments (DOE) in the manufacturing context
- How DOE can improve your decision making skills
- What is Design of Experiments? Are where are they commonly used?
- Critical terms and definitions
- The Two Types of Experimental Error
- What is ANOVA? How is it used in decision making?
- Real-life examples of 1-way and 2-way ANOVA in Microsoft Excel
- An Overview of Full Factorial Experiments
- Fractional Factorial Experiments and the Taguchi Methods
- Examples of Taguchi Methods used to solve complex manufacturing problems
- Downloadable Excel templates
Who Should Attend
- Industrial engineers, Manufacturing engineers
- Quality managers, Quality engineers, Quality technicians
- Manufacturing managers, Continuous improvement professionals
Target Audiences
- Industrial engineers, Manufacturing engineers
- Quality managers, Quality engineers, Quality technicians
- Manufacturing managers, Continuous improvement professionals
As the complexity of your manufacturing processes increase with the addition of input variables like speeds, feeds, temperature, and machine types, you ability to “trial and error” your way into an optimal process decreases. So often, manufacturing professionals fail to recognize that well-designed process experiments can lead to fewer defects, higher production rates, and improved mechanical properties.
In this course, “Leading with Designed Experiments: ANOVA and Taguchi Methods”, you will learn how to design, conduct, and analyze the results of process experiments in a manner that leads to those optimal results you desire.
More specifically, you will learn:
-
A detailed overview of Design of Experiments (DOE) in the manufacturing context
-
How DOE can improve your decision making skills
-
What is Design of Experiments? Are where are they commonly used?
-
Critical terms and definitions
-
The Two Types of Experimental Error
-
What is ANOVA? How is it used in decision making?
-
Real-life examples of 1-way and 2-way ANOVA in Microsoft Excel
-
An Overview of Full Factorial Experiments
-
Fractional Factorial Experiments and the Taguchi Methods
-
Examples of Taguchi Methods used to solve complex manufacturing problems
-
And MUCH MORE!!
In addition to the 3+ hours of instructional video, when you sign up for this course, you also get:
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3 tests (with Answer Keys) to verify your learning progress
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A Microsoft Excel workbook containing the 5 worksheets with 1-way and 2-way ANOVA’s used in the course
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17 Real-life case studies used in the course instruction
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ALL SLIDES FOR THE CLASS in a pdf format
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A Certificate of Completion showing your name, the course title, and length of course
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Lifetime access to all course materials … the videos, exams, slides and Excel worksheets.
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Q&A access to the instructors via Udemy
With the case study approach used in this class, you will now only learn the key concepts, terminology, and methods used in ANOVA, DOE and Taguchi methods, but you will get to see how real-life manufacturing problems are framed for analysis.
So if you are a quality, industrial, or manufacturing engineer or manager, and want to advance your analytical problem solving skills, then this is the class for you!!! SIGN UP TODAY!!
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction to the Course
Lecture 2: Overview of Decision Making with Experiments
Lecture 3: Course Slides
Lecture 4: The Challenge
Lecture 5: The Benefits of Statistical Decision Making
Lecture 6: Case #1, Tube Cutting, Pt 1
Lecture 7: Case #1, Tube Cutting, Pt 2
Lecture 8: Terms and Definitions
Lecture 9: What is Design of Experiments?
Lecture 10: The Two Error Types
Lecture 11: Test #1
Lecture 12: What's Next?
Lecture 13: Understanding ANOVA
Lecture 14: Microsoft Excel, Data Analysis Add On
Lecture 15: Downloadable Excel Spreadsheets
Lecture 16: Case #2, One Way ANOVA
Lecture 17: Case #3, Two Way ANOVA
Lecture 18: Case #4, Assembly Line Workers
Lecture 19: Case #5, High School Test Scores
Lecture 20: Case #6, Battery Life
Lecture 21: Test #2
Lecture 22: Full and Fractional Factorial Methods
Lecture 23: Introducing Full Factorial Methods
Lecture 24: Case #7, Full Factorial
Lecture 25: Taguchi Methods, An Alternative to Full Factorial
Lecture 26: Taguchi Terminology and Concepts
Lecture 27: The Eight Steps of a Taguchi Experiment
Lecture 28: Supplementary Table and Main Effects
Lecture 29: Thoughts on Software
Lecture 30: Case #8, L4 Experiment, Electrical Current
Lecture 31: Case #9, L4 Fuel Pump
Lecture 32: Case #10, L4 Injection Molding
Lecture 33: Case #11, L8 Bond Strength
Lecture 34: Case #12, L8 Heat Treating
Lecture 35: Case #13, L8 Bearing Wear
Lecture 36: Case #1 Revisited, L8
Lecture 37: Case #14, L8 Tile Defects
Lecture 38: Case #15, L8 Baking Example
Lecture 39: Case #17, L16 Welding Strength
Lecture 40: Test #3
Lecture 41: References and Closing Comments
Lecture 42: Conclusion to the Course
Lecture 43: Bonus Lecture
Instructors
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Ray Harkins, The Manufacturing Academy
Senior Manufacturing Professional, Online Educator -
Michael J. Vella
Instructor with the Manufacturing Academy
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 1 votes
- 4 stars: 2 votes
- 5 stars: 6 votes
Frequently Asked Questions
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