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Leading with Designed Experiments: ANOVA and Taguchi Methods
Rating: 4.4 out of 5(65 ratings)
520 students

What you'll 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

Course content

1 section • 43 lectures • 3h 15m total length

  • Introduction to the Course15:10
  • Overview of Decision Making with Experiments4:30
  • Course Slides1:25
  • The Challenge2:31
  • The Benefits of Statistical Decision Making1:50
  • Case #1, Tube Cutting, Pt 12:27
  • Case #1, Tube Cutting, Pt 27:06
  • Terms and Definitions9:04
  • What is Design of Experiments?4:48
  • The Two Error Types7:09
  • Test #11:27
  • What's Next?0:49
  • Understanding ANOVA5:53
  • Microsoft Excel, Data Analysis Add On1:18
  • Downloadable Excel Spreadsheets2:15
  • Case #2, One Way ANOVA8:33
  • Case #3, Two Way ANOVA7:04
  • Case #4, Assembly Line Workers5:24
  • Case #5, High School Test Scores4:54
  • Case #6, Battery Life6:43
  • Test #21:16

    Downloadable resource is a Microsoft Excel workbook containing the five problems Mike described in the video, each in its own worksheet labeled "PROBLEM." A subsequent worksheet to each of these five is labeled "SOLUTION." These contain the answers to the problems.

  • Full and Fractional Factorial Methods1:12
  • Introducing Full Factorial Methods1:20
  • Case #7, Full Factorial2:41
  • Taguchi Methods, An Alternative to Full Factorial4:22
  • Taguchi Terminology and Concepts5:07
  • The Eight Steps of a Taguchi Experiment2:38
  • Supplementary Table and Main Effects3:54
  • Thoughts on Software1:16
  • Case #8, L4 Experiment, Electrical Current8:07
  • Case #9, L4 Fuel Pump6:08
  • Case #10, L4 Injection Molding4:48
  • Case #11, L8 Bond Strength7:32
  • Case #12, L8 Heat Treating4:31
  • Case #13, L8 Bearing Wear5:22
  • Case #1 Revisited, L84:19
  • Case #14, L8 Tile Defects6:13
  • Case #15, L8 Baking Example6:30
  • Case #17, L16 Welding Strength7:21
  • Test #31:51
  • References and Closing Comments1:52
  • Conclusion to the Course3:16
  • Bonus Lecture3:52

Requirements

  • Basic understanding of descriptive statistics
  • Basic understanding of manufacturing

Description

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:

  • 3 tests (with Answer Keys) to verify your learning progress

  • A Microsoft Excel workbook containing the 5 worksheets with 1-way and 2-way ANOVA's used in the course

  • 17 Real-life case studies used in the course instruction

  • ALL SLIDES FOR THE CLASS in a pdf format

  • A Certificate of Completion showing your name, the course title, and length of course

  • Lifetime access to all course materials ... the videos, exams, slides and Excel worksheets.

  • 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!!

Who this course is for:

  • Manufacturing Engineers, Quality Engineers, Process Engineers, Industrial Engineers, Product Development Engineers, Reliability Engineers
  • Test Engineers, R&D Engineers, Design Engineers, Materials Engineers, Production Supervisors, Operations Managers, Quality Managers
  • Manufacturing Managers, Engineering Managers, Continuous Improvement Managers, Lean Six Sigma Black Belts, Lean Six Sigma Green Belts
  • Technical Project Managers, Six Sigma Practitioners, Statistical Analysts, Validation Specialists, Regulatory Affairs Professionals
  • Metrologists, Calibration Specialists, Process Validation Engineers, Junior Engineers, Technicians
  • Professionals responsible for reducing variation or improving yields, comparing multiple process inputs or configurations, working in environments with multiple controllable variables (e.g., speeds, feeds, materials, temperatures), or need to justify process changes with data

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