Design Of Experiments (DoE) Training using Minitab
The Design of Experiments (DoE) is a statistical way of establishing the mathematical relationship between outcome and factors affecting the outcome. It helps us in arriving at a minimum required trials and sequence of conducting those trials – considering bias and disturbances of conditions, establishing the relationship with mathematical accuracy.
With this twoday program, participants learn about basics statistics for decision making, constructing unbiased and failureproof experimental design, Analyse response and optimise parameters with handson Minitab 17 software.
Course Contents

Introduction

Basic Statistics
 Measure of Central Tendency & Dispersion
 Descriptive & Inferential Statistics

Analysis through Historical Data
 Cause and Effect Diagram
 Testing of Hypothesis
 Regression & Correlation

Basics
 Traditional Design Experiment approach
 Introduction
 Terminologies

Stages of Design of Experiments

Full Factorial Design Creating a Design
 Replication & Randomization
 Conducting Experiments and collecting Data
 Analyse the Response
 Steps in Data Analysis
 Effects Plot
 Main Effects Plot
 Interpreting Interaction Plots

Significant Effects

Dropping Terms From Prediction Equation

Drawing Conclusions

Final Prediction Equation

Coefficients

Fractional Factorial Design
 Half Fractional Factorial
 Sparsity of effects
 Confounding

Resolution

Tips for Effective DoE
Minitab
Minitab is a software package that helps us in the analysis of data including DoE. It is also extensively used by Experts as an important part of studying data, providing quick, effective solutions for the level of analysis. It comes handy in designing (constructing) the experiment sequence, analysing the results to find transfer function (the equation) and to optimise the solution. Let’s understand how to effectively conduct DoE using Minitab.
Target Audience
 This Training will be of great use for senior management people, who want to understand the use and effectiveness of DoE for their processes.
 Managers, Executives from Manufacturing, Quality Assurance, and Maintenance who are working on optimising their processes.
 Team Leaders, scientists from Design, Research and Development,
 Scientists and students utilising DoE for their research and thesis.
 Industries – All segments of Manufacturing namely, pharma, engineering, chemicals, food processing, FMCG, medical devices, auto components, etc.