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Leading with Designed Experiments - ANOVA and Taguchi Methods - OneDDL - 01-23-2024
![[Image: 260da7ed0a2b48a7f6beb58f09d04280.jpeg]](https://i122.fastpic.org/big/2024/0123/80/260da7ed0a2b48a7f6beb58f09d04280.jpeg)
Free Download Leading with Designed Experiments - ANOVA and Taguchi Methods
Published 1/2024
Created by Ray Harkins, The Manufacturing Academy,Michael J. Vella
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 43 Lectures ( 3h 15m ) | Size: 1.7 GB
How to Analyze Data and Design Statistical Experiments for Improved Analytical Decision Making
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
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 "trail 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 contextHow DOE can improve your decision making skillsWhat is Design of Experiments? Are where are they commonly used?Critical terms and definitionsThe Two Types of Experimental ErrorWhat is ANOVA? How is it used in decision making?Real-life examples of 1-way and 2-way ANOVA in Microsoft ExcelAn Overview of Full Factorial ExperimentsFractional Factorial Experiments and the Taguchi MethodsExamples of Taguchi Methods used to solve complex manufacturing problemsAnd 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 progressA Microsoft Excel workbook containing the 5 worksheets with 1-way and 2-way ANOVA's used in the course17 Real-life case studies used in the course instructionALL SLIDES FOR THE CLASS in a pdf formatLifetime access to all course materials ... the videos, exams, slides and Excel worksheets.Q&A access to the instructors via UdemyWith 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
Industrial engineers, Manufacturing engineers
Quality managers, Quality engineers, Quality technicians
Manufacturing managers, Continuous improvement professionals
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