Taguchi Techniques and Robust Design

Using Taguchi techniques enables improvements in quality and reductions in cost to be simultaneously achieved. These user-friendly techniques not only provide a cost-effective approach to Design of Experiments and Robust Design , but also provide a fresh perspective on product and process development. Using this analysis will help to prevent recurring manufacturing variability and add new levels of stability to the design to production process. The course will also show how to use Minitab software to quickly and easily analyse data. It is suitable for anyone responsible for increasing product or process quality or reducing costs in a design, engineering or manufacturing environment.

Course Content

Introduction to Taguchi
- Taguchi and quality

Taguchi Design Principles
- Loss Function Capability indices
- Defining customer requirements
- Following the design cycle

Introduction to DOE
- Stages of experimentation
- Drawbacks to traditional designs

Planning an Experiment
- Factors and levels

Designing an Experiment
- Design options
- Replication and randomisation

Analysis Refinement and Optimisation
- Analysing and visualising results
- Optimisation of confirmation

Orthogonal Screening Designs
- Orthogonality, fractional factorials, and resolutions

Taguchi Designs
- Screening
- Signal-to-noise ratio
- Taguchi catalogue
- Common and robust designs

Taguchi Non-Linear Designs
- Non-linearity
- 3 level designs and 3 level screening

Beyond the Basics
- Response surface methodology
- Transactional DOE