Design of Experiments (DOE, DoX)
What is DOE?
Design of Experiments is a technique for establishing a cause-and-effect relationship confidently, quickly and inexpensively.
Does DOE really work?
Yes, DOE really works. Statisticians first used it starting in the 1920s, but modern software has enabled engineers and scientist to use DOE to solve problems on a wide scale. It is a proven, powerful technique.
How much faster is DOE?
A typical five-factor DOE experiment can be completed three times faster than the old One-Factor-at-a-Time method.
What is an experiment design?
An experiment design is a plan for collecting and analyzing data.
What is an I-Optimal Design?
I-Optimal designs are experiment designs focused on finding the best predictions from a model. I-Optimal designs are the most efficient designs mathematically possible.
What is a Definitive Screening Design?
A screening design is an experiment design that helps you decide which of a large number of factors are most important. A Definitive Screening Design accomplishes this with the least effort and lowest cost.
What if no design fits my experiment?
- Check the I-Optimal Design Library.
- Check the Definitive Screening Library Design.
- Learn to create your own custom experiment designs.
- Objective Experiments can generate a custom design for you.
What is Reliability Analysis?
Reliability Analysis is a technique for judging how long a product will satisfy customer quality expectations without failure, which is important when judging overall quality perception and establishing warranties.
What is a Weibull Distribution?
Waloddi Weibull developed a very clever way to determine product reliability that is often referred to as a "Weibull Distribution." A Weibull Distribution is a model of the variability in product failure times. His method is very useful, but in certain situations, other techniques work better. Choose the right technique for your situation.
What is Product Life?
Product Life is a measure of how long on average your product will last. No two cars, dishwashers, lasers or computers fail at exactly the same time. Reliability Analysis helps you understand this variability, how it will affect your customers and how long your customer will be satisfied with your product's quality.
Measurement System Analysis (MSA)
What is a Measurement System Analysis (MSA)?
A Measurement System Analysis is a study to determine how suitable a measurement system is for a specific application. Not all measurement tools work in all situations.
Do I really need to do a Measurement System Analysis?
Are your measurements important? If they are, then you need to do a Measurement System Analysis. Data are never better than your measurements. No matter how much your measurement tool costs, how frequently you calibrate it or how easy it is to use, it has limitations. You need to know if they will adversely affect your work.
What is the difference between EMP and Gage R&R?
EMP and Gage R&R are two types of Measurement System Analysis. EMP stands for "Evaluating the Measurement Process," a straightforward, yet powerful way to evaluate your measurement system. Gage R&R, short for "Gage Repeatability and Reproducibility," is a time‐honored way to evaluate your measurement system. The one you choose to use depends on your specific needs.
How do Design of Experiments, Reliability Analysis, and Measurement System Analysis work together?
Design of Experiments, Reliability Analysis, and Measurement System Analysis are the three key components of Objective Experiments. Every engineer, scientist and chemist is trying to establish and verify cause-and-effect relationships, and these three components are essential to meeting that goal.
- Measurement System Analysis assures you that you are analyzing real data. Everything that comes from data relies on this. Why gamble when you can be confident?
- Design of Experiments helps you establish a cause-and-effect relationship from data, quickly and cost effectively. It helps you learn what will be necessary to satisfy your customers.
- Reliability Analysis helps you to verify the results of the cause-and-effect relationship you've established. It helps you to be confident that your customers will be satisfied.
Please contact us. We will be happy to answer your specific questions.