VIRTUAL DESIGN OF EXPERIMENTS

Date: 9th & 16th September – 10-12:30 

Platform: TEAMS 

Tutor: Denis Sexton.

Fee: BGA Member Free / Non Member £225*


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

This online course 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.
  • ANOM, ANOR, and ANOME
  • 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


* After registration we will contact you to arrange invoicing.