Design of Experiments - Fundamentals

This 1 day course aims to:

• Familiarise delegates with DOE principles and terminology (randomisation, replication, blocking, factors, effects, interactions, ANOVA, hypothesis testing)
• Provide statistical background theory in order to understand DOE process and development
• Demonstrate the steps of a full factorial experiment design in order to optimise response to key factors
• Analysis of results using hypothesis test plots and regression modelling
• Explain the purpose of non full factorial designs

By the end of the course, delegates should be able to:

• Define key terminology (factors, effects, interactions, anova, hypothesis testing)
• Explain key principles (randomisation, replication, blocking,)
• Calculate Coefficients of a simple linear regression model
• Describe the steps in designing a full factorial experiment
• Create a coded 3 factor 2 level full factorial design matrix
• Perform a hypothesis test
• Perform an analysis of variance
• Interpret common DOE plots (interaction effects, cube plots, Normal Probability Plots, Contour Plots, Pareto Charts, Optimal Solutions)
• Justify the choice of experiment design approaches

Who Should Attend?

This course is intended as an introduction to the subject for delegates that are looking to incorporate Design of Experiment approaches into their engineering analysis.

Prerequisites

The course assumes no prior knowledge of the analysis itself, but delegates should be familiar with statistical approaches and OFAT experimentation.

Duration

1 Day

The course commences at 9:00am and finishes at approximately 5:00pm.

Course Fee

From £525, including lunch and refreshments.

Sessions

Introduction

• What is DOE
• Terminology
• Basic Principles

General full factorial designs

• Analysis Process
• Building a Design Matrix
• Recording Responses

Analysis Methods

• Plots
• Regression Modelling
• Hypothesis Testing
• Analysis of Variance

Alternative Designs

• Common Alternative Designs
• Design Resolutions