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Design of Experiments for Product, Process & Quality Managers

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 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. 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 and Quality Managers.

Target Audience
What will you get?

After completing the course you will be able to plan, set up, perform and analyze Full Factorial, Fractional Factorial and Taguchi DOE.

Validity

30 days

Course Information

Estimated Time: 120 Minutes | 20 Lectures | Price : $65

Categories:

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One-Time Payment

₹4,500.00
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Introduction

Welcome & Introduction

Learn about structured experimentation.

Introduction to Experiments

Learn about the role of experiments in performance improvement. Difficulty Level : High
Phases of Experiments

Learn about the different phases of experiments. Difficulty Level : High
Types of Experiments – Overview

Learn about types of structured experiment designs. Difficulty Level : High

Factorial Designs

Basic DOE Terms

Learn about of basic terms associated with DOE. Difficulty Level : High
Performing Full Factorial Experiment in Minitab

Learn how to perform full factorial DOE. Difficulty Level : High
Analyzing Full Factorial Results in Minitab – Part 1

Learn how to analyse full factorial results. Difficulty Level : High
Analyzing Full Factorial Results in Minitab – Part 2

Learn how to analyse full factorial results continued from previous lecture. Difficulty Level : High
Advanced DOE Terms

Learn about additional terms involved in DOE Difficulty : High

Fractional Factorial Designs

Performing Fractional Factorial Experiments – Part 1

Learn how to perform fractional factorial DOE. Difficulty Level : High
Performing Fractional Factorial Experiments – Part II

Learn how to perform fractional factorial DOE continued from previous lecture. Difficulty Level : High
Analyzing Fractional Factorial Results in Minitab

Learn to analyze fractional factorial results. Difficulty Level : High
Types of Experiments – Detailed

Learn about structured experiment designs. Difficulty Level: High

Taguchi Design

Taguchi Design of Experiments I

Learn the fundamentals of Taguchi Design. Difficulty Level : High
Taguchi Design of Experiments II

Continuation of the previous lecture on Taguchi Design.
Taguchi Design of Experiments III

Continuation of the previous lecture on Taguchi Design.
Taguchi Design of Experiments IV

Continuation of the previous lecture on Taguchi Design.

Closing & Practice Files

DOE Practice Files
Closing Lecture

Conclusion and next steps…
Downloadable Takeaways

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