13th-15th September 2017
56 Commercial Road
London E1 1LP
For details and registration e-mail: firstname.lastname@example.org
This course is aimed at scientists involved in product or process development and optimisation using analytic, sensory or consumer response measures. It will promote this methodology which is generally underutilised in our sector. The standard design methods (DOE) will be discussed together with innovative methods which enable the software to be used for product optimisation based on an unstructured set of products (typical preference mapping data). The aim is as usual to present the techniques and then give attendees the chance to make a small scale trial and analyse and interpret results from real life experiments. Motivation for using the methods will be illustrated with published examples.The course will be delivered using the software package Design Expert (www.statease.com) but other software solutions will be discussed.
It will also be possible to attend this course from the comfort of your home or office using the Virtual Training Room Facility.
ABOUT THE LECTURERSAnne Hasted began her career as an academic statistician at Reading University, leaving in 1989 to set up Qi Statistics Ltd offering statistical support to research and industry. She has over 25 years’ consultancy experience in the food, beverage and personal products industry, particularly in the area of product improvement and is an experienced trainer with a worldwide reputation for “user-friendly” training.
Gemma Hodgson worked in the pharmaceutical industry for over 15 years before joining Qi Statistics in 2012. Gemma now runs Qi Statistics Ltd together with Anne and gives training and consultancy advice to a wide variety of customers from pharmaceuticals, manufacturing, sensory and consumer and general business. Customer feedback has shown Gemma’s approachable attitude are widely valued in a training and consultancy environment.
Day 1 Introduction: Simple Factorial Designs for Identifying key product and process components.We start with a statistical modelling refresher. Covering modelling with qualitative and quantitative factors. We then introduce multi factor experiments, their objectives and place in a research cycle and their advantages over one at a time experimentation. Simple screening experiments with two levels of each factor Analysis and interpretation of results, the importance of understanding interactions. The last session of the day looks at how smaller fractional experiments can be designed to investigate a larger number of factors using a limited number of samples, explaining the possible pitfalls.
Day 2 Process and Product Characterisation using Response Surface DesignsWe now extend to experiments which allow us to characterise the product space with the aim of optimising consumer acceptability or finding product or process recipes that produce particular product characteristics quantified by sensory or analytic data. We investigate the possibility of optimising for several different responses (acceptability/cost/ingredient constraints) and explain the concept of desirability. The particular case where the factors to be considered are proportions of a mixture are also covered.
Day 3 Using DOE methods with unstructured sample sets
Today we look at how the optimisation methods in the software can be applied to a typical preference mapping study where both sensory data (from a trained panel or consumers) and liking data are collected on a set of samples. This allows us to easily visualise the preference space in more than two dimensions and also to identify the optimum product, possibly optimising for several criteria. We also show how design software can be used to objectively select a subset of samples from a sensory profile for consumer testing.
Day 1 Introduction: Simple Factorial Designs for Identifying key product and process components.
Wednesday 13th September
Imparando City of London
56 Commercial Road
London E1 1LP
This is an excellent computer training facility with light and airy rooms, It is 300 metres from Aldgate Underground station on the edge of the City of London close to the Tower of London. There are plenty of hotels close by. Details of the facility can be found at www.imparando.com
Please see http://www.roomex.com , entering London E1 1LP into the search box for details of hotels nearby. We usually stay at The Holiday Inn or the Ibis.
Attend training from the comfort of your home or office
Experience all the benefits of instructor-led training without the hassle of traveling. With Virtual Training Room, you can join a live training event from any location—whether you’re in a cube at work or at home, you’ll feel as if you are physically present in the classroom. Advanced classroom technology enables our presenters to deliver the same live instruction to you, whether you’re onsite and offsite.
Why Attend a Flex Class?
Convenience: Where you access a Flex Class is up to you. Join from a satellite classroom, virtual learning cube, home or office. All you need is a standard internet connection and a computer that has a camera and microphone.
Engaging Learning Event: Robust communication tools include two-way, high-definition video and audio, allowing you to interact with your instructor and fellow students as if you were physically present in the classroom.
Easy-to-Use: No complicated software to buy or learn. The interface is intuitive and easy to navigate. In the event you need assistance, technical support is there to assist you pre, during and post event.
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We will send you a folder with all the class notes and exercises and you will be able to download the data sets. We will be able to watch you doing the exercises.
COURSE REGISTRATION FORM
Yes: Please enrol me in Structured Experimental Design for Sensory & Consumer Scientists 13 - 15 September 2017.
Includes lunches, course dinner, course materials £2100.00 inc VAT
Virtual Training Room ( This is an additional fee to the course fee which must be paid as well) £500 (inc VAT)
Fees reduced by 5% for members of academia - space limited.
For electronic bank transfers: contact email@example.com for IBAN details
Mailing address for registration and payment:
Dr H J H MacFie
43 Manor Road
Keynsham, Nr Bristol,
BS31 1RB, United Kingdom
Electronic registration forms to Hal@halmacfie.com