Tag: Design of Experiments (DOE)

The QbD Column: Split-plot experiments

Split-plot experiments are experiments with hard-to-change factors that are difficult to randomize and can only be applied at the block level. Once the level of a hard-to-change factor is set, we can run experiments with several other factors keeping that level fixed. To illustrate the idea, we refer in this

Design of experiment: Analysis by model visualization

Last week, I described model visualization – which is simply applying data visualization to models – and explained why I find it useful. Designed experiments, especially small DOEs, are a perfect place to practice model visualization. Another term for this could be “analysis by Graph Builder.” I am not suggesting

Proper and improper use of Definitive Screening Designs (DSDs)

In 2011, my colleague Prof. Chris Nachtsheim and I introduced Definitive Screening Designs (DSDs) with a paper in the Journal of Quality Technology. A year later, I wrote a JMP Blog post describing these designs using correlation cell plots. Since their introduction, DSDs have found applications in areas as diverse

Better hard-boiled eggs with our eggsperiment

In my post last week, I discussed our latest eggsperiment with hard-boiled eggs – and now it’s time for the results! As a reminder of the factors, we had hard-to-change factors: Cooking Start (Hot/Cold) Cooking Time (10 minutes, 12 minutes, 14 minutes) Salt (0 tsp, ½ tsp, 1 tsp) Vinegar

Eggstra! Eggstra! A new designed eggsperiment

It’s been years since I last dyed Easter eggs, but this year we decided to give it a try. This means I’ve suddenly found the need to hard-boil some eggs. One of my favorite experiments that I’ve blogged about was the eggciting eggsperiment, so it’s the perfect time to revisit

Chocolate Bar Smackdown: US vs. Canada

How do you like your coffee? I like my Coffee Crisp. Of all the commercials from my childhood, this is one of the few catchphrases that I remember. I suspect most readers have no idea what I’m talking about – (although it does exist in the UK and for a short period

Baby not sleeping well? Design of experiments to the rescue!

DOE (design of experiments) certainly helps make the world a better place in big important ways, but it can also add to your personal quality of life. In addition to the practical and clever experiment designs that developers Ryan Lekivitz and Melinda Theilbar have recently discussed here in the JMP

Dyeing diecast vehicles redux: The results

Last time, I discussed setting up a new stage of experimentation for dyeing diecast vehicles. Not everything went as planned, but there were some positive results. I took the alias optimal design from the previous blog post and used a column shuffle to randomize the rows (it was sorted by

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