When I talk to quality professionals about how they use
statistics, one tool they mention again and again is design of
experiments, or DOE. I'd never even heard the term before I started
getting involved in quality improvement efforts, but now that I've
learned how it works, I wonder why I didn't learn about it sooner.
If you need to find out how several factors are affecting a process
outcome,... Continue Reading
Measurement systems analysis (MSA) is essential to the success
of any data analysis. If you cannot rely on the tool you’re using
to take measurements, then why bother collecting data to begin
with? It would be like trying to lose weight while relying on a
scale that doesn’t work. What’s the point in weighing yourself?
Minitab Statistical Software offers many types of tools that you
can use to... Continue Reading
The U.S. Food and Drug Administration implemented new
regulations in the pharmaceutical industry over the past several
years. One focus of the FDA has been on quality in batch-to-batch
production. Batch quality not only ensures safe product for
consumers, but has the double benefit of saving pharma companies
money. It's a waste of time and money to go through the long
process of manufacturing a... Continue Reading
by Manikandan Jayakumar, guest blogger
We use Design of Experiments (DOE) to optimize the value of a
response (Y) by simultaneously changing the values of several
factors (X’s). The response will often be a continuous variable,
but in some scenarios you need to optimize an attribute or
categorical response (Pass/Fail, Accept/Reject, etc.).
Collecting the Data for an Attribute Response DOE
Let’s see... Continue Reading
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