Design of Experiments (DOE)

Dates: 30th April, 2020 - 1st May, 2020 (2 days)
8th October, 2020 - 9th October, 2020 (2 days)

Duration: 2 days

Location: 7 Centre Court, Blyry Business and Commercial Park, Athlone.

Accreditation: Certificate of attendance

Full Fee: €795 including course manual, lunch and refreshments. Inclusive of course manual, lunch and refreshments.

Programme overview

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.  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.

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.

Content

Day 1

  • Introductions
  • Problems with experimental strategies
  • Introduction to DOE
  • Designing a simple experiment
  • Centre points and blocking
  • Running a simple experiment
  • Analysing an experiment graphically
  • Analysing an experiment statistically
  • Trial experiment & practical session with Statapults for candidates
  • Review & close

Day 2

  • Set-up of DOE on the moulding machine – identifying & selecting factors
  • Running the DOE
  • Fractional Factorial Experiments – how to screen for few runs
  • Aliasing in DOE
  • Plackett-Burman Experiments Response Surface Methodology
  • Evolutionary Operations (EVOP)
  • Follow-up on practical experiment
  • Review & close

Trainer Profile

Richard Doyle

Richard has 20+ years of engineering and operations management experience at a senior level, with organisations such as Seagate and General Electric, in Europe and Asia. He is a GE certified six sigma black belt and is trained as a lean master.  As a consultant, Richard adds value in the areas of strategic planning, R&D roadmap development, site level capital management and capital strategy skills, equipment installation, commissioning and production release, and productivity improvement.

See Richard’s full profile here

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).

See Bernie’s full profile here

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