This course shows how to make practical use of Design of Experiments by combining inputs, like temperatures, times and dimensions, to give maximum information from the least number of trials.
DOE identifies important factors, shows how much affect they have, and allows you to predict process changes and to define optimal design settings.
Explanations are practical and visual. Graphs clearly show major inputs and their effect, and spreadsheets generate charts and calculations.
You will learn how to…
This course gives you tools to:
Specify an outcome to measure
Search for possible inputs
Select key factors
Use a screening experiment to test up to seven factors in only eight trials.
Learn how to:
Visual interpretation of results
Optimise the system
Use the results to find settings which:
The presentation is combined with a sequence of ‘hands on’ workshops which form an integral part of the course and ensure genuine learning.
Workshop #1: Process Improvement
Workshop #2: Spread sheet familiarity
Workshop #3: Design Optimisation
Workshop #4: Plan your own multi factor solution
Alan Long is a Chartered Statistician and is an acknowledged expert in the application of statistical methods to a wide range of business and manufacturing environments. He has been applying Design of Experiments and related techniques such as Statistical Process Control to Australian businesses since 1982. Alan enjoys an excellent reputation as an instructor and wrote the STATMAN series of training books.
$795 excluding GST. Fee includes training Manual, computer spreadsheet files for data analysis, lunch & refreshments. Please refer to our standard terms and conditions for further registration details.
What to Bring?
Information on current trial work, problems or development issues.
If possible, a laptop with a 3 1/2inch floppy drive.
Who Should Attend?
All problem solvers faced with multiple inputs, or a range of influencing parameters.