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)