Design of experiments (Sigma)

INTRODUCTION

Experimental Design (DoE) is a powerful and structured approach to understanding product & process behaviour. This course will provide practitioner training in how to apply DoE to optimise process or product design. Using this approach enables dramatic improvements in quality & reductions in cost to be simultaneously achieved, & help to prevent recurring manufacturing variability by adding new levels of stability to the design to production process. The course will also show how to use Minitab software to quickly & 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.

December 13th

December 14th

December 15th

December 16th

Design of Experiments

• Introduction to designed experiments (DOE)

• Applications of DOE techniques

• Basic system optimisation

• Screening techniques using DOE

• Optimising a worked example

Advanced Design of Experiments

• Review of Full Factorial Designs

• Benefits & limitations of basic DOE techniques

• Introduction to Fractional Factorial

• Screening Designs

• Overview of advanced techniques

Advanced Design of Experiments (Contd)

• Taguchi techniques

• Mixed & multi-level experiments

• Response surface designs
  (CCD, CCF & Box-Behnken designs)

• Introduction to evolutionary experimentation
  (EVOP techniques)

Note: All DOE modules Include SimWare Simulations & Minitab Analysis, as well as practical experimentation examples