The Quality & Productivity Research Conference is about to take place in our backyard (so to speak) at the School of Textiles at North Carolina State University. And it includes a field trip to our front yard. The theme of the meeting is Creativity and Innovation for a Connected World.
A quick review of QbD The first blog post in this series described Quality by Design (QbD) in the pharmaceutical industry as a systematic approach for developing drug products and drug manufacturing processes. Under QbD, statistically designed experiments are used to efficiently and effectively investigate how process and product factors
In JMP 12, you will find new examples, improved organization and enhanced content in the Design of Experiments (DOE) book. You can find this book under the Help menu: Help > Books > Design of Experiments Guide. New Examples In the Starting Out chapter, a new example describes an experiment
Developing new drugs is a complex, lengthy and expensive endeavor. When the process leads to an approved drug, the result is improved patient care and great benefits for the developers. But many promising drugs never live up to expectations. The US Food and Drug Administration (FDA), observing that new drug
In my previous post, I described an experiment that my wife and I conducted to find a method for making delicious iced tea with juice. The factors we looked at were these: Tea type: black tea or oolong Steep method: hot water vs. cold water Steep time: short (5 minutes
My wife is a huge fan of tea – to the extent that our kitchen has two shelves dedicated to it. For a recent family gathering, she wanted to clear out some tea by making a large batch of iced tea (i.e., to allow more room in the cupboard to buy
On the second full day of Discovery Summit Europe, Bradley Jones, JMP Principal Research Fellow, and Peter Goos, Professor of Technology at the University of Antwerp, deliver a keynote speech on design of experiments. View the live blog of this speech. See photos and tweets from the conference at jmp.com/live.
Scientists and engineers often need to find the best settings or operating conditions for their processes or products to maximise yield or performance. I will show you how the optimisation capabilities in JMP can help you work out the best settings to use. Somewhat surprisingly, the particular settings that are
Covering arrays are a powerful design tool that may be used to design test cases to efficiently test deterministic systems. For such systems, a particular input will always generate the same output and, as a result, standard statistical designs are usually inefficient. It turns out that failures in these systems
I recently presented at a webinar on "The Power of Data: Harnessing Ethanol Plant Information for Increased Profitability." This talk followed on the heels of an article, "Putting Data to Work," in Ethanol Producer Magazine in December. The article discussed JMP use at Phibro Ethanol Performance Group, Heron Lake Bioenergy