Training Design of Experiments
The goal of Design of Experiments is to aswer experimental questions as efficiently as possible, i.e. with a few, carefully planned series of experiments.
In our trainings you will learn the theory, the concepts and the practical know-how that you
will need for design and analysis of statistical designs. Our trainers have several years of
experience in consulting and teaching DoE. We emphasise practical exercises and simulations so that
you get hands-on experience. Our flexible approach will bring you great benefit independently of
your previous knowledge.
In our introductory course, you can learn how to use factorial designs, identify important factors
and find interactions.
Do you want to optimize your processes and determine optimal parameters factor? In our training
Response Surface Methods we illustrate how you can achieve these goals.
Are your processes based on mixture components? In our Mixture Design course you will learn how to deal with Mixture designs. STATCON trainings never follow a rigid schedule. We try to include your personal wishes and requirements to ensure high customer satisfaction and practical relevance.
| Interested in this course ? Please contact us ! |
phone: +49 (0)5542 - 93300 email: vertrieb@statcon.de |
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Design of Experiments in chemical and related industries –
In cooperation with CQ Consultancy
COST-EFFICIENT RESEARCH
Research & Development: searching for new products and improving existing processes. This can
be accomplished efficiently and optimally only in one way: the way of Experimental Design.
Experimental Design, alias Design of Experiments (DOE) or Statistical Design of Experiments
(SDE), not only guarantees reaching the preset goal, but on top costs a minimum number of
experiments ... on condition that one takes into account the characteristics of the field
of application. The optimal strategy of experimenting will be different in chemical industries
as compared to for example the automotive industry. This explains the specific context of
this course.
COURSE SET-UP
During the first three days the topics listed below will be theoretically treated, and
illustrated with exercises. Day four is actually an Experimental Design "game": the
participants go through all phases of a project: from problem analysis over choosing a
design, up to analysing simulated data and reporting the results.
DISCUSSING OWN APPLICATIONS
Each participant is offered free individual follow-up coaching; an individual session of two
hours with one of the trainers, in CQ’s offices. So each participant can appeal to the
trainer’s expertise, after having applied the methods treated in the course to his / her own
cases. Appointments for the individual sessions can be made during the course.
COURSE OBJECTIVE
At the end of the course the participants will be able to formalise a problem, find the
appropriate design type and, except for complex problems, construct this design. The
participants will also master the statistical analysis of standard designs for continuous
variables.
INTENDED AUDIENCE AND PRIOR KNOWLEDGE
Those who want to acquire an "active" knowledge in setting up experiments according to
Experimental Design theory, as well as people who want to understand both the Experimental
Design principles and the results of the statistical analysis.
Participants to DOE-I are assumed to have a thorough understanding of some basic statistical
techniques (normal probability plot, confidence intervals, hypothesis tests, Type I & Type II
errors, power, ANOVA, regression). The 2-day course Applied Statistics “Light” is ideally
suited as a preparation to this course.
The required prior knowledge can however also be obtained by private study. The course
material consists of the handouts of the Applied Statistics “Light” course, including problems and solutions.
COURSE CONTENTS
Day 1 - 3- One Variable At a Time versus Experimental Design
- The concept of interacting variables
- Replication, 2-level blocking variables and randomisation
- 2-level designs: Full Factorial, Fractional Factorial, Plackett-Burman designs, Foldover designs, Confounding, Resolution
- Multi-level Response-Surface-Model designs
- Power calculations
- Analysing the results with Analysis of Variance
- Residual analysis and graphical validation
- Visualisation of the results
- Response transformation
- Multi-response optimisation
- Experimental Design game
PRACTICAL
Each course day will be held from 9 am to about 5 pm. The course fee includes handouts, lunches and the individual follow-up coaching.
| Type of training | date | location | price | duration | languages |
|---|---|---|---|---|---|
| Open | |
Zurich Zurich | 1600,- net 1600,- net |
4 days 4 days |
german english |
| Interested in this course ? Please contact us ! |
phone: +49 (0)5542 - 93300 Email: vertrieb@statcon.de |
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