Design of Experiments (DoE) – Basic Myths Debunked

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Let's take a look at some common myths about the design of experiments (DoE).

Myth 1: Designing an experiment first is too complicated.

The truth is, it's not as hard as you think. When you learn Design of Experiments, you can simply start with a simple "trial-and-error" approach or one-factor-at-a-time (OFAT) approach, then graduate to more advanced methods when you're ready.

Myth 2: DoEs are expensive and complicated.

In reality, a simple DOE costs less than traditional approaches. These days, you can easily access powerful software packages to create and analyze a DOE.

Myth 3: DoEs are limited to small numbers of treatments.

There are many types of experiments that require large numbers of treatments. However, using screening designs as the first step, you might want to reduce the number of variables and the number of trials.

Myth 4: DoEs are only suitable for lab research.

They work just as well in the industry. In fact, they are often used during product development because they allow us to identify the optimal combination of inputs quickly.

Myth 5: DoEs are only for new products.

Experimental designs are also extremely helpful when improving existing products. You can use them to improve efficiency and save money.

Myth 6: DoEs are only used by chemists and biologists.

DoEs are used by everyone who wants to understand their environment. They are not restricted to any particular field. DoEs are equally applicable across all industries.

Myth 7: DoEs are only suited for laboratory-based studies.

You can use DOEs to conduct field trials or even simulate real-world situations. For example, you could use a DOE to study how different packaging materials affect the shelf life of food products.


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