Design of Experiments (DOE)

Uncover and Quantify Cause & Effect relationships

Design of Experiments

Learn the best ways to design trials and experiments to maximise discoveries and minimise effort.

Design of Experiments - What will you learn?

Do you want to truly understand what drives the performance of your processes?

Do you want to optimise the output of your processes?

Design of Experiments (DOE) is a collection of techniques used to determine the relationship between the factors which influence a process and the output of that process.

DOE uncovers and quantifies the cause-and-effect relationships between process inputs and results.

Once these relationships are known, DOE is used to find the optimum working conditions for your processes and maximise your results.

This 2-day course covers the theory and practice of Design of Experiments.

This training course is designed for non-statisticians!

We cover many real-life case studies from both administrative and production processes.

Our emphasis is on giving you a thorough understanding of the techniques first, before showing you how to perform Design of Experiments with ease using our favoured platform, Minitab.

Following this course, you will immediately know how to set up and run Designed Experiments at your place of work. You will be able to interpret the results of your Designed Experiments and be in a position to implement improvements which optimise process results.

Course Format

The training is delivered via live Zoom / Teams sessions with email support where required.

You will be part of a small select cohort of participants.

A full set of colour printed notes will be provided for you.

A Training Completion Certificate is issued on completion of the module.

Join this course in the knowledge that if you wish to take your data analysis skills to the next level, you can build on this course with a range of other standalone modules. All of our Minitab modules are delivered as 2-day sessions.

Minitab

Minitab is recognised as a leading platform in the field of data analysis. We use Minitab as our software of choice for DOE training.

Despite its enormous power, Minitab has a friendly user interface that makes it easy for complete beginners to get started and then move on to more sophisticated techniques.

We have been using Minitab for over 20 years in countless data analysis scenarios with more than 100 organisations. It remains our favourite route to understanding data, converting this to valuable information, and making the right business decisions as a result

Analysis of Process Variables - ANOVA - what we cover:

The development of Design of Experiment techniques
The sequential process of DOE
The risks involved in traditional methods like “change one factor at a time”
Full Factorial Designs
Replication and Randomisation
Cube Plots
Main Effects and Interaction Effects
Interpreting Minitab output
Pareto and Normal Effects Plots
Blocking
Regression Analysis & Prediction
Fractional Factorial Designs
Screening Designs Plackett-Burman & Definitive Screening Designs
Response Surface Methods
Process Optimisation

Who should participate.

Suggested Material:

People who are interested in their own personal development and who would like to learn how make data work for them.

Anyone looking for career development via this certificated programme.

People who want to upskill their problem-solving capabilities and demonstrate what they can achieve within their organisation.

Anyone looking for their first formal training in data-based decision making.

Academic qualifications are not required, but reasonable numeracy and familiarity with using Excel will be useful.

Pricing 2-day Module

UK £500.00 (plus VAT)

USD $650.00

Euro €650.00

Design of Experiments (DOE)

Uncover and Quantify Cause & Effect relationships