Design of Experiments (DOE)-Online

Dates: To be verified

Duration: 8 x 2 hour session , twice per week = 16 contact hours total over 4 weeks. Starting Tuesday 12th May - Finishing Tuesday 09th June (there will be no lecture on Tuesday 2nd June).

Location: Online

Accreditation: Certificate of attendance

Full Fee: €650

Programme overview

To get the most out of this programme participants should already have a good working knowledge of statistics.  If this is not the case,  we recommend attending our 2 day ‘Process Analysis and Control using Minitab’ course in advance of attending Design of Experiments.

Minitab

If you are not joining from work, or don’t have access to a Minitab licence, students will need to download a trial version of Minitab in advance of the course. If that’s not possible for the student, they can still join in as an observer and commentator.

The opening webinar in the series contains an introduction to Minitab software,and will give an introduction to statistics, using Minitab.

Broadband reliability

Students will need reliable broadband and a quiet place from which to join in. Landline broadband speeds have been affected by the COVID-19 induced demand on streaming services. A landline broadband service should be good enough for a webinar? Using a smartphone hotspot works very well also, if the student has 4G service.

This course is designed for product or process development engineers, technicians, scientists and statisticians in all industries and services including pharmaceutical, medical, automotive, engineering, semiconductor, plastics and composites. DOE is particularly useful for the development of new analytical tests and methods. In summary, this approach is useful to anyone charged with optimizing the performance of a process that has many input variables.

If you are unsure or have any questions, please feel free to contact us.

Learning outcomes

Upon completion, participants will understand:

  • The need for good experiment design
  • How to select relevant factors (process inputs) for DOE
  • How to structure selection of tests to run, to minimise the amount of testing needed
  • How to design and run an experiment
  • How to graph and analyse DOE results
  • How to bring about a significant sustainable process improvement, based on scientific understanding of influencing process inputs.

Who is the course for
The DOE course is suitable for product or process development chemists, engineers, technicians, scientists and statisticians in all industries and services including pharmaceutical, medical, automotive, general engineering, semiconductor, plastics and composites. DOE is also particularly useful for the development of new analytical tests and methods. In summary, this approach is useful to anyone charged with optimizing the performance of a process that has many input variables.

Course content

Time Time & Date Content

Tutor

Hours

Assignment
09:30

Tuesday

12 May 2020

Introductions
Descriptive statistics
Correlation & regression
Introduction to DOE
Assignment

BR

2

Assignment on  descriptive statistics, using data set
09:30

Thursday

14 May 2020

Assignment review
getting to know the processes – KPIVs & settingsDesigning a simple full factorial experiment
Factor selection
Centrepoints & blocking
Assignment

BR

2

Catapult data set exercise
09:30

Tuesday

19 May 2020

Assignment review
Running a simple experiment – Catapult simulationAnalysing and experiment graphically
Assignment

BR

2

Trial DOE set-up & analysis
09:30

Thursday

21 May 2020

Assignment review
Analysing and experiment statistically
Fractional factorial DOE
Aliasing in DOE
Assignment

BR

2

Analysis of DOEs completed

Interaction plot

09:30

Tuesday

26 May 2020

Assignment review

Contour plots
Other experimental designs: Placket Burman & EVOP

BR

2

9:30

Thursday

28 May 2020

Assignment review
Moulding DOE – process parameters & factor selection & settings
Assignment

SOL

2

09:30

Thursday

4 June 2020

Assignment review
Moulding DOE set up in MinitabCase study review
Assignment

SOL

2

09:30

Tuesday

9 June 2020

Assignment review

Process considerations Q&A

Graphical and data analysis of Moulding DOE

Assignment

SOL

2

16

Trainer Profile

Bernadette Rushe,

Bernie has been involved in the management of supply chain and business process improvement activities for over 30 years. She received her Lean and Six Sigma training at Dell Computer Corporation. In 2001, she left Dell to establish Cordatus Consulting (now trading as Lead Ireland).

Stephen O’Leary 

He graduated from Athlone IT having studied Plastics Engineering from 1988 to 1992. Stephen has delivered training in Injection Moulding for First Polymer Training since 2000, initially joining FPT Skillnet as the Training Center Manager.

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