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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 Requirements Basic understanding of descriptive statistics Basic understanding of manufacturing Description Who this course is for Industrial engineers, Manufacturing engineers Quality managers, Quality engineers, Quality technicians Manufacturing managers, Continuous improvement professionals