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.

Who should attend

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.

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.

Content

• Introductions

  • Introduction to Minitab

  • Measurement systems analysis (MSA)

  • Pre experimental techniques: main effects and regression analysis

  • Introduction to DOE

  • Designing a simple full factorial experiment

  • Factor selection

  • Corner points in DPE design

  • Centrepoint’s

  • Quiz

  • Running a simple experiment - Catapult simulation

• Analysing and experiment graphically

  • Statistical analysis of DOE experiments

  • A mug's guide to DOE ANOVA analysis

  • Assignment 1 of 2: multiple choice questions

  • Quiz

  • Q&A

• Blocking
  • Fractional factorial DOE
  • Aliasing in DOE
  • Resolution III & IV experiments
  • Contour plots
  • Dealing with curvature
  • Assignment 2 of 2: Fractional factorial DOE case study, using an online simulation tool
  • Quiz
  • Q&A

• All day practical session on a moulding machine, taking place at First Polymer Training Skillnet Training Centre in Athlone. Theory Interval in the afternoon, covering:
  • Multiple response DOE
  • Evolutionary operations (EVOP)
  • Response surface methodology (RSM)

Trainer Profile

Bernadette Rushe

Bernie has been involved in the management of supply chain and business process improvement activities for over 30 years. She has designed and delivered hundreds of courses in process improvement and data analysis, from beginner to advanced levels. Bernie lectures in statistics in the Advanced Quality Management masters' course at the University of Limerick. She holds a first-class honour master’s degree in supply chain management.

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 Centre Manager.