Design of Experiments for Product, Process & Quality Manager
- 3.7
-
![]()
![]()
![]()
![]()
Brief Introduction
Factorial Designs | Fractional Factorial Designs | Taguchi Designs - Lean Six Sigma Black Belt LevelDescription
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 Managers
Process Managers
Quality Managers
Lean 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 DOE
What is Covered:
Structured Experiments
Types of Experiments
Phases of Experiments
Terms used in DOE
Full Factorial Experiment (Performing & Analyzing)
Fractional Factorial Experiment (Performing & Analyzing)
Taguchi Designs (Performing & Analyzing)
Requirements
- Requirements
- Basic concepts of statistics - Types of Data, Descriptive Stats, CI, ANOVA
Nilakantasrinivasan Janakiraman
3.7 Raiting
DevOps Tutorial: Complete Beginners Training - 5 in 1 Bundle
- 2.7
-
![]()
![]()
![]()
![]()
![]()
Devops Engineer DevOps AWS DevOps Docker DevOps Jenkins DevOpsGIT , DevOps Vagran DevOps Maven What is this course about: In this course You will learn Hands on Devops Technology Concepts....
Design of Experiments for Product, Process & Quality Manager
- 3.7
-
![]()
![]()
![]()
![]()
![]()
Factorial Designs | Fractional Factorial Designs | Taguchi Designs - Lean Six Sigma Black Belt Level Unstructured experimentation consumes indefinite resources and time, that no organizations have....
Lean Manufacturing A-Z: Lean Operations Management
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Lean Business Operations Management, Lean Process and Systems Improvement in Production and Industry. MBA style course Understand the fundamentals, then details of the most effective, proven improvement methodology ever....
Mega Social Media Marketing Course: 13 Courses In 1
- 4.5
-
![]()
![]()
![]()
![]()
![]()
Become A Professional In Social Media Marketing: Facebook Ads, Pinterest, Instagram, Snapchat, LinkedIn & YouTube Videos Course 1 Create Super Simple And Powerful Content For Facebook, Pinterest, and Instagram...
