Applications of Experimental Design in Consumer Research – Case studies (On demand)

Applications of Experimental Design (DOE) in Consumer Research – Case Studies illustrating product insights and optimisation

Statistical Experimental Design methods originally developed in agriculture are now widely used in industry to optimise manufacturing processes. They also have an important place to play in product development and should be more widely used in our field. This online webinar is aimed at encouraging wider use of the techniques using case studies to illustrate their application and benefits.

What we will cover:

· Motivation for using structured sample designs – efficiency and clarity

· Using factorial designs to find the key process or ingredient influencers on consumer liking and sensory characteristics. Highlighting the efficiency of the approach

· Optimising product formulation considering costs and other constraints within the product design space

· Software tools available

Topic outline:

• • Introduction

    • • Applications
    • • Why Use Experimental Design?

• • Factorial Designs

    • • Main Effects & Interactions
    • • Model Fitting
    • • Case Study 1 – Flavour Formulation
    • • Take away for Factorial Product Tests

• • Extending the Ideas – Further Designs

    • • Reducing the Size of Factorials
    • • Case study 2 and Case study 3
    • • Looking for optimal levels – Case study 4
    • • Mixture Designs
    • • Case study 5

• • Software

• • Summary

Training format: This is a recorded webinar given by Anne Hasted, it is not a live training. There are no formal analysis workshops for the user as it is a presentation of case-studies and applications, so no software is required for this session.