Design of experiments (Sigma)

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Description

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 c…

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Frequently asked questions

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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

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    There are no frequently asked questions yet. Send an Email to info@springest.co.uk