Design Of Experiments For Product, Process & Quality Manager

What you'll learn
Types & Phases of Structured Experiments (Design of Experiments)
Terms in DoE such as Factors, Levels, Runs, Blocks, Center Points, Repetitions, Replications, etc
Plan, Set up, Perform, Analyze and Interpret the results of DOEs
Factorial Designs & Fractional Factorial Designs
Taguchi Designs
Requirements
Basic concepts of statistics - Types of Data, Descriptive Stats, CI, ANOVA
Description
Structured Experimentation or Design of Experiment (DOE) helps Product Engineers to develop and refine designs. It is simply not possible to develop optimal designs that deliver right product performance without understanding the relationship between dependent and independent factors (& within independent factors). Unstructured experimentation consumes indefinite resources and time, that no organizations have.This is true for both Engineering Product Managers and Service Product Managers.Similarly, both Engineering and Service Process Managers cannot optimize process parameters or design products without conducting structured experiments.Quality Managers have to constantly improve the quality of product, its reliability and that cannot happen without improvising design in a structured manner. As a part of DMAIC or DFSS improvement projects, Lean Six Sigma Black Belts & Lean Six Sigma Green Belts are expected to find ways to improve the process and optimize it and it would not be possible with knowledge of structured experimentation (Design of Experiments - DOE)This course is going to help Product and Process Engineering Managers from both Service & Engineering Sectors to learn DOE from scratch.Practical Knowledge of DOE is non-negotiable for any Product, Process, Quality Managers & Lean Six Sigma Black Belts. Target Audience: Product ManagersProcess ManagersQuality ManagersLean Six Sigma Black Belts What you will accomplish after completing this course: After completing the course you will be able to plan, set up, perform and analyze Full Factorial, Fractional Factorial and Taguchi DOEWhat is Covered:Structured ExperimentsTypes of ExperimentsPhases of ExperimentsTerms used in DOEFull Factorial Experiment (Performing & Analyzing)Fractional Factorial Experiment (Performing & Analyzing)Taguchi Designs (Performing & Analyzing)
Overview
Section 1: Introduction
Lecture 1 Welcome & Introduction
Lecture 2 Importance of Experiments
Lecture 3 Phases of Experiments
Lecture 4 Types of Experiments - Overview
Section 2: Factorial Designs
Lecture 5 Basic DOE Terms
Lecture 6 Performing Full Factorial Experiment in Minitab
Lecture 7 Analyzing Full Factorial Results in Minitab - Part 1
Lecture 8 Analyzing Full Factorial Results in Minitab - Part 2
Lecture 9 Advanced DOE Terms
Section 3: Fractional Factorial Designs
Lecture 10 Performing Fractional Factorial Experiments - Part 1
Lecture 11 Performing Fractional Factorial Experiments - Part II
Lecture 12 Analyzing Fractional Factorial Results in Minitab
Lecture 13 Types of Experiments - Detailed
Section 4: Taguchi Designs
Lecture 14 Taguchi Design of Experiments I
Lecture 15 Taguchi Design of Experiments II
Lecture 16 Taguchi Design of Experiments III
Lecture 17 Taguchi Design of Experiments IV
Section 5: Closing & Practice Files
Lecture 18 DOE Practice Files
Lecture 19 Bonus Lecture : Closing Lecture
Lecture 20 Bonus Lecture : Details of our courses
Product managers from engineering and service sectors,Process managers from engineering and service sectors,Quality and reliability managers, in general,Aspirants of Lean Six Sigma Black Belt Certification


Homepage

https://www.udemy.com/course/design-of-experiments-doe/

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