Effective Design of Experiments Implementation
D201 - 2 days on-site / 4 online sessions
Available for online delivery!
Practical approaches to designing your own experiments. Understand how to locate the few key parameters from the trivial many, identify optimal feasible operating regions and choose the best designs. Our most popular workshop!
We offer several off-the-shelf versions of this course targeted at specific industries (e.g. biotechnology, pharmaceutical development, formulation and synthetic organic chemistry) as examples to show how we tailor this course towards each customer. If your own industry is not listed, please don't worry - we have many more case studies available, and/or we can incorporate your own data into this workshop!
Topics coveredSessions 1 - 2 / Day 1:
- Introduction to Design of Experiments
- Full Factorial designs
- Evidence-based decision-making
- Fractional Factorials and Blocking
- Augmenting a design for de-aliasing
- Augmenting a design for optimisation
- DoE as a Sequential Strategy and alignment with 6Sigma/ QbD initiatives
- Scoping & Screening designs: investigate & identify key process parameters
- Optimisation & Robustness designs: develop an optimal, robust & capable process
Software Tools Used
We also use our own suite of interactive training tools in this workshop, including our simulation tool, ProSim.
Who should attend?
- New Design of Experiments Practitioners.
- Improving Design of Experiments Practitioners.
- Those wishing to understand how to efficiently apply the statistical software tools (Design-Expert, JMP, etc.).
- D104 - Mixture Designs (DoE)
- D107 - Advanced Design of Experiments Topics (DoE)
- F101 - Foundation Statistics for Scientists (Foundation)
- D201b - Effective Design of Experiments Implementation for Biotechnology (DoE)
- D201c - Effective Design of Experiments Implementation for Synthetic Organic Chemistry (DoE)
- D201f - Effective Design of Experiments Implementation for Formulators (DoE)
- D201p - Effective Design of Experiments Implementation for Pharmaceutical Development (DoE)
Comments from previous Effective Design of Experiments Implementation delegates...
I found the exercise were very good and helped understanding the theory.
I enjoyed the balance between hands-on DoE exercises and more theoretical parts.
I particularly enjoyed the case-based study and the whole design strategy from screening to RSM.
From a beginner perspective, I think that learning the basics was the most useful aspect of the course. The problems were also a great tool to embed learning; I thought the course was excellent, very well paced and the practical element kept everyone engaged.
There was a good balance of slides and practical/worked examples to keep interest going.
I found learning how to interpret the software output from a given design and learning how to set up and interpret an augmented design most useful. All the sections were presented in a logical order introducing new concepts of increased difficulty in a way that was easy to follow and understand. The trainer was an excellent communicator. I really enjoyed the course.
The fact it was very hands on was really good.
I have been thrown in at the deep end with DOE and JMP so this course really helped with bringing me up to speed on the decisions that people make when creating DOE and the logic behind on how they make those decisions. The modelling experiment we conducted with dissolving tablets was very powerful.
Learning how to use the software - even just to do a simple DoE - was really useful; prior to that I had no idea how to use it! Overall it was a really good course and I got a lot out of it.
I appreciated the simulations: it was great that you could design & then do your own experiments quickly & easily. If only we could have a simulator for all our work!!!
I thoroughly enjoyed the course and thought the content was really well structured. As someone who hadn't seen the software before I thought it was a good pace.
The course was practical-oriented which gave me confidence that I can apply the skills learnt to my own projects.
I really think my main enjoyment came from the quality of the instructor. I found it very useful to understand the basic concepts and implementation of DoEs and I look forward to applying this in the future.
The level of depth was perfect for those new to DoE and the gradual layering of more complex modelling made the course engaging and very easy to follow.
The section on two level factorial and central composite design were particularly relevant to what we need.
The course gave me a good overall view of DoE and the JMP software - it was great that the trainer tailored the course to our particular version of the software.
The section on how to assess if a model is good or not and the different ways to analyse results from a DoE were very useful.
I particularly enjoyed the practical approach that was taken. It helped me grasp some of the tools that I would require towards my own experimental designs.
The impact of DoE was very well illustrated with practical and simulated examples. The hands-on sessions on JMP were also very useful, and not only in the context of DoE.
I think the course was very useful and relevant. Our trainer did an excellent job in explaining the content of the course. He has great, in-depth knowledge about the software, which meant that he was able to answer our questions very well. He also put an effort in showing us all useful to us tabs and options in software which will be very helpful in our job.
The use of DoE and sequence strategy in development of process model and learning how to scope the high low levels, and how to understand them in terms of the design, were all useful.
The trainer was very receptive to the many questions which were raised during the course and answered most of them straight away. This made it easier for each person to relate the course to their specific situations.
Really good course content and the right balance of discussion and practicals. I think the trainer did an excellent job of explaining complex topics in an easy to follow and straightforward way.
The explanation of the reasons for using DoE, and the benefits of doing so were put across very clearly.
Every section of the course added to the knowledge foundation necessary to understand the next. Nothing appeared superfluous. Also, our trainer was excellent at taking questions so nothing went unexplained.
I enjoyed learning about the theory behind DoE as it was clearly explained and gave a good explanation as to how the information was obtained and extracted from the results of designed experiments. I found the practicals useful as they encouraged us to think about what we were designing and what the graphs were telling us.
An excellent course, which was enthusiastically and clearly presented. I particularly liked the interactive presentation. I learned a lot and thoroughly enjoyed it.
I thought the interactive exercises were really good as it allowed us to put into practise what we had learned about. The real life examples were also really good and illustrations of what you could get from the data.
I really enjoyed all of it; the trainer was an excellent presenter and really helped me understand the key basics of DoE.
The entire course was well structured and logically ordered. Each topic formed the foundation of knowledge necessary for the next topic. I particularly enjoyed the section on central composite design as I can see this approach being particularly relevant to the non-linear factors we are often working with in our field.
It was good to learn in small groups as the teacher could really concentrate on our us.