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1st & 8th June 2022

Registration is Closed
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Time & Location

01 Jun 2022, 10:00 BST – 08 Jun 2022, 12:00 BST

Online Training

About the Event

Date: 1st & 8th June 2022

Platform: TEAMS

Tutor: Denis Sexton

Fee: Non Member £225* / BGA Member Free

Please note this course is over 2 sessions. You will need to attend all sessions to complete the training.

This online course is held over 2 sessions and is fully interactive with detailed examples and plenty of time for questions and discussion.

Why learn about DOE?

Properly designed experiments will improve

  • Understanding of the Cause and Effect relationship in any process
  • Predictive knowledge of the process, in order to improve it
  • Control process costs, while meeting or exceeding customer requirements.

The course will cover:

  • Background to DOE in understanding the cause and effect relationship
  • Understanding data types, and the wide range of experimental tools.
  • Planning an experiment (including gear measurement considerations)
  • Determine if any factor or combination of factors is significant
  • Screening trials and observations
  • Replication and Repetition
  • Statistical control and stability
  • Analysis of Results via ANOVA and define prediction equations
  • Process optimisation to reduce costs
  • Case studies
  • Software options

Module 1. Introduction to DoE Theory

By the end of this module, the participant will:

  • Understand the strategy behind Design of Experiments (DoE/DoX)
  • Understand the types of experiments
  • Understand the goals of an experimental strategy
  • Understand the concept of “between group” variation to “within group” variation.
  • Understanding the within group randomness assumptions and the experimental methods to test these assumptions
  • Understand Coding
  • Understand the limitations of One-Factor-At-a-Time (OFAT) experiments

Module 2. Methods of Data Analysis: 

By the end of this module, the participant will:

  • Understand the importance of control charts as analytical tools in DoE, and how to interpret them.
  • Understanding multi-level factors.
  • Understand the concept of interaction.
  • ANOVA for graphical and numerical analysis.
  • Testing Results via “SPC for Excel®” and “Minitab®”
  • General measurement issues.
  • Evaluating the Measurement Process (EMP) studies

If you are not a BGA Member please click here to see our Membership Benefits and get in touch to find out how to join. 

If you would like to register for any of our essential gear training please click the registration button below or contact Kirsty in the BGA office

* If you are a non member we will contact you to arrange invoicing.

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