10th May, 2021 - 28th May, 2021 (6 days)
27th September, 2021 - 15th October, 2021 (6 days)
Duration: This course will run over 5 mornings on Monday and Thursday from 09:30 - 11.30 am (with breaks) over 3 weeks - Live online training. The final session is a full day practical and will be live streamed on the Friday.
Accreditation: Certificate of attendance
Full Fee: €650
Course code: DOEOL
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 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.
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.
Upon completion, participants will understand:
- 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. In summary, this approach is useful to anyone charged with optimizing the performance of a process that has many input variables..
|1||Introduction to DOE||09.30 – 11.30||n/a|
|2||Factorial DOE||09.30 – 11.30||10 questions on MSA and DOE|
|3||Statistical analysis||09.30 – 11.30||n/a|
|4||Fractional factorial DOE||09.30 – 11.30||Catapult DOE exercise|
|5||Dealing with curvature||09.30 – 11.30||n/a|
Live DOE workshop
All day workshop on moulding DOE
The final session is a full day practical and will be live streamed from First Polymer Training Skillnet Training Centre in Athlone
|09.30 – 5.30|
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).
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.