Duration
2 days
Course Objectives
- Identify best materials, design, methods and conditions that will optimize product performance or yield.
- Is DOE the best approach to solve your process problem?
- Step-by-step approach of performing and analyzing DOE.
- Conducting DOE with the aid of Minitab software.
In this step-by-step, hands-on DOE workshop, you will learn :
Contents
- Introduction to Minitab.
- Data entry method.
- Stats application (Data Analysis, DOE, Quality Tools, etc)
- Why DOE techniques is such a powerful process improvement tool.
- Limitations of the traditional one-factor-at-a-time experiments – failure to predict interactions and long experimental times.
- Types of experimental design.
- Planning a DOE
- Set and communicate design objective
- Define the process
- Select the response / output and the measurement system.
- Select the factors to be considered.
- Select the experimental design.
- Set the factor levels.
- Final design considerations.
- Use Minitab to set up DOE experimentation
- Analyse experimental data
- Calculate main effects and effects of interaction.
- Use Minitab Graphical tools to assist in data analysis and interpretation.
- Use Minitab to analyse results and test validity of DOE model.
- Verify results, conclusions and plan implementation.
- Additional DOE tools
- Randomisation, replication and repetition.
- Full factorial vs fractional factorial designs.
- Application of centre points to test linearity
- Application of confounding to negate influence of uncontrollable variables.
- Plackett-Burman Designs and fractional factorials.
- Additional tools to facilitate data analysis
- Effective data collection and unbiased sampling.
- Generating Multi-vari charts on Minitab
- Residual analysis and normal probability plot of residuals on Minitab.
Workshops
- Interpret case studies on DOE.
- Design your own experimental runs.
- Conduct a follow-up experimental design based on given data.
- Use Minitab to run, generate, analyse and interpret a DOE.
- Avoid the 10 most common mistakes in DOE.
Who Should Attend
- Engineers, managers and other technical personnel who will be involved in designing experiments for process improvement.
Programme scope, delivery arrangements and suitability are confirmed during enquiry.