Design of experiment

Design of Experiments (DOE)

You learn how to use Design of Experiments to develop products and processes efficiently — reducing development costs and time.

Proper design and analysis helps you determine optimal solutions for your product, process or service.

Format: 1 day classroom with hands-on exercises. The course is scheduled based on interest.

Interested in in-house training? This email address is being protected from spambots. You need JavaScript enabled to view it.

Who is this for?

This course is for you if you:

Want to reduce development time and cost by getting more information from fewer experiments.
Work with product or process development and want to determine which factors actually drive the result.
Want to understand how different factors interact and affect a process or product.
Need to determine optimal settings based on data — not trial and error.
Want to analyse and interpret results from experimental design in a structured way.

This course suits engineers, quality professionals and others working with product and process development, in any industry.

Includes course certificate

What will you get out of this?

Design efficient experiments that deliver maximum information with a minimum number of runs.
Choose the right design — full factorial, fractional factorial or other approaches — and understand the trade-offs.
Determine which factors and interactions actually drive the result.
Optimise the process and determine factor values for the best possible outcome.
Analyse and interpret results from experimental design using graphical and statistical methods.

Course certificate upon completion.

How the course works

1 day classroom: A mix of theory and hands-on exercises where you design your own experiments, collect data and analyse the results. We use a Galton board and catapult for practical exercises.

Analysis tool: We use Minitab during the course, unless otherwise agreed. SigmaXL and JMP are alternative tools. A free 30-day trial version of the software can be downloaded before the course.

In-house training: We tailor content and format to your needs and challenges. This email address is being protected from spambots. You need JavaScript enabled to view it.

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Introduction to Design of Experiments (DOE)

What is DOE and when do you use it? Overview of the approach and step-by-step implementation.

Step-by-step implementation:

Determine objective.
Select factors.
Identify combinations.
Plan the experiment.
Run the experiment.
Analyse and take action.

Full factorial and fractional factorial

Nomenclature, number of runs and trade-offs between different designs.

Randomisation, blocking and centre point

How to design robust experiments that handle noise variables.

Graphical and statistical analysis

Determine the effect of factors and interactions. Analyse results in Minitab.

Optimisation

Determine which factor values give the optimal result.

Hands-on exercises:

Galton board — basic statistics and practical exercises.
Catapult — run your own experimental design, analyse data and optimise the process.

Included:

Course documentation
Course certificate upon completion

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Galton board

The Galton board is used during the course to build a practical understanding of basic statistics and to run hands-on exercises.

Catapult

We build our own catapult and use it to run a full experimental design. We analyse the data and optimise the process based on the results.

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Practical information

Courses can be arranged on request and customized to your business needs.

Your own data can be used in examples and exercises.

Open courses are arranged according to the Course Calendar.

You can start e-learning when you want. You have access for a year and unlimited attempts to successfully complete multiple-choice exam.

Lunch, refreshments, and drinks during classroom training are included, and you receive a course completion certificate.

Location

Course location varies; check "Place" in Course Calendar.

Lean Tech is located at Kristoffer Robins vei 13 (0978 Oslo) and organizes courses here.

We have an agreement with Thon Hotels and organize courses in other locations as needed.

Registration

Instructor

Sissel Pedersen Lundeby is IASSC (International association for Six Sigma certification) accredited trainer associate:

"This accreditation publically reflects that you have met the standards established by IASSC such that those who participate in a training program led by you can expect to receive an acceptable level of knowledge..."

Sissel has a Master in Chemical Engineering and more than 20 years' experience within manufacturing and environmental technology. She has practiced Lean Six Sigma since 2002, completing Black Belt projects and certification through Cytec (2004) and IASSC (2017).

She use Lean Six Sigma to create measurable results and want her course participants to be successful improving their processes. That's why her training focus on practical application.

Feedback

"Inspiring, professionally competent, popularize a theoretical discipline"

Espen Fjeld, Commercial Director at Berendsen

"Academic highly skilled and clear performance. Fun and builds trust"

Jon Sørensen, Production Manager at Berendsen

"10/10 good at reaching everyone"

Erlend Stene, Sales leader at Berendsen

"Clear and well presented. Good at asking questions and listen (check understanding)"

Morten Bodding, Production Manager at Berendsen

"Made a difference, engaged and skilled"

- Participant from EWOS

"You are inspiring, positive and professionally skilled"

- Participant from EWOS

Anonymous feedback:

"Clear presentations and well explained"

"I thought it was very rich, with good examples that made me reflect"

+ - Frequently asked questions (click to see content) Click to collapse

Do I need prior knowledge of statistics?

It is an advantage to have a basic understanding of statistics, but it is not a requirement. The course builds understanding step by step.

What is included in the price?

1 day classroom, course documentation and course certificate upon completion.

Which tool is used in the course?

We use Minitab during the course, unless otherwise agreed. SigmaXL and JMP are alternative tools. You can download a free 30-day trial version of Minitab before the course.

What is the connection between this course and Hypothesis Testing?

Hypothesis Testing teaches you to determine whether differences between datasets are statistically significant. Design of Experiments goes further and teaches you to plan and run structured experiments to find optimal settings. The two courses complement each other well — hypothesis testing is a central part of the analysis in DOE.

Is this relevant to my industry?

Yes. DOE is used in manufacturing, process industry, pharmaceuticals, food production and other industries where you want to optimise products or processes based on data.

Is the course delivered in English?

The course is normally delivered in Norwegian, but most Norwegian participants are comfortable attending in English. If you prefer English, please add a comment when you register. We will confirm with the other participants and get back to you — this is usually straightforward to arrange.