Course Outline

Unlike ‘One-Factor-At-A-time ( 1FAT), Design of Experiments (DOE) is a powerful tool that enables you to investigate and manipulate multiple key process input variables concurrently in order to optimize a specific output or response variable.

This course will expose learners to key knowledge required to design and analyse statistical experiments using Minitab.

Pre-requisite

Basic Statistics with Minitab will be a distinct advantage. However, the first day of the course will be a review of basic statistical concepts relevant to DOE.

During: 3 days

Venue: Virtual Delivery

Course Fee: €895

Day 1 – DOE Statistics

1. Understand key statistical concepts and definitions 

✓ Population, sample, types of data etc

✓ Measures of process variation and central tendency

✓ Descriptive and inferential statistics.

2. Understand the distribution of your data 

✓ Distribution parameters

✓ Difference between PDF and CDF

✓ Probability Distributions – normal, t, binomial, Poisson, F, Chi-square.

3. Review of Statistical Inferences with Minitab

✓ Confidence Intervals

✓ Hypothesis testing

✓ Analysis of Variance

✓ Goodness-of-fit test

✓ Individual Distribution Identification.

4. Review of Regression Analysis with Minitab

Day 2 – DOE Fundamentals

1. Understanding DOE terms and concepts

✓ Independent and dependent variables

✓ Factors and levels

✓ Treatment, error, replications

✓ Full and fractional designs

✓ Screening experiments

✓ Confounding, etc

✓ Covariates and analysis of covariates (ANCOVA).

2. Experimental Planning 

✓ Measurement system analysis

✓ Identifying your objectives

✓ Identifying factors and responses of interest

✓ Design type selection.

3. Creating a design in Minitab

✓ Create a full Factorial design

✓ Understand Design Tables

✓ Modify your design to Fractional Factorial

✓ Understand the Aliasing and Alias Structure.

4. Manually analyse a full factorial design

✓ Understand the main effects

✓ Understand the interaction effects.

Day 3 – Design and Analysis of Experiments

1. Create and Analyse A Screening Experiment

✓ Definitive Screening Design

✓ Plackett-Burman Design

• • Analyse Design Summary
  • Analyse Pareto Effects
  • Analyse Effects plot
  • Analyse Main Effects.

2. Create and Analyse A Two-level Full Factorial Design

✓ Create and store your design

✓ Analyse your design using available tools in Minitab

• • Four-in-One plot, probability plot
  • ANOVA, Pareto, main and interaction plots etc

✓ Reduce model by screening out factors that as not statistically significant

✓ Optimise your design

✓ Identify optimum settings using

• • Contour plot (Plant Flag)
  • Surface plot
  • Response Optimiser

✓ Use your model to make predictions.

3. Create A Response Surface Design

✓ Central Composite Design

✓ Box-Behnken Design

✓ Response Surface with Categorical A factor.

Terms and Conditions

Cancellation Policy

Events Cancellation Policy: Cancellations will be accepted up to 72hrs before each event. Events which are cancelled within 72 hours of scheduled date shall incur a cancellation fee equal to 50% of the agreed cost. Registrants who fail to attend the event will be charged 100% of the full fee. This policy applies to all events.

Training Cancellation Policy

Registrants who cancel over 2 UNITs in advance of scheduled training date shall incur no cancellation fee. Registrants who cancel within 2 UNITs of scheduled training date shall incur a cancellation fee equal to 50% of the cost. Registrants who give less than 24 hours’ notice or fail to attend training will be charged 100% of the full fee.

Please quote Purchase Order number if required on invoice.

Irish Laws

These Terms & Conditions are governed by Irish Law. Place of Litigation is the Republic of Ireland. These conditions shall be governed and construed in accordance with the laws of Ireland, and the customer submits to the exclusive jurisdiction of the Irish Laws.