Analyzing a 4-factor definitive screening design with diecast cars data

When I created the four-factor definitive screening design discussed in my previous blog post, I was excited to try out the new technique that Bradley Jones presented at the JMP Discovery Summit. Looking at the dyed cars, I noticed some promising results and a wide array of colors. The new […]

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A 4-factor definitive screening design as a response surface design alternative

I’ve been a huge fan of definitive screening designs from the moment I first read about them. I’ve also been excited by Bradley Jones' new approach for analyzing definitive screening designs. As my second experiment with dyeing toy cars had promising results, it seemed like the right time to better […]

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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 […]

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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 […]

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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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Dyeing diecast vehicles with DOE redux

In a previous experiment, my father and I changed the color of diecast cars by placing them in fabric dye. A recent visit from my father allowed us to undertake the next experiment in our dyeing journey with some new ideas from my colleague Lou Valente. With the information gained […]

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Making the world a better place: David Trindade on improving quality, reliability and more

David Trindade, Chief Officer of Best Practices at Bloom Energy, knows a lot about creating value. He is internationally renowned for his expertise in reliability analysis and has been honored with the IEEE Reliability Society 2008 Lifetime Achievement Award. He co-authored a valued resource for reliability engineers, Applied Reliability, now […]

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The QbD Column: Response surface methods and sequential exploration

George Box and K.B. Wilson introduced the idea of response surface methodology in a famous article[1] in 1951. There were several novel and extremely useful ideas in the article: Designed experiments can be a great tool in experimentally optimizing conditions. When feedback is rapid, there are great benefits to breaking […]

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The QbD Column: Mixture designs

Scientists in the pharmaceutical industry must often determine product formulations. The properties of a formulation, or mixture, are usually a function of the relative proportions of the ingredients rather than their absolute amounts. So, in experiments with mixtures, a factorʹs value is its proportion in the mixture, which must fall […]

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The QbD Column: Achieving robustness with stochastic emulators

In an earlier installment of The QbD Column titled A QbD factorial experiment, we described a case study where the focus was on modeling the effect of three process factors on one response, viscosity. Here, we expand on that case study to show how to optimize process parameters of a […]

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