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)
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