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How DoE is Shaping Industry Innovation

Technology is advancing rapidly and businesses are increasingly relying on AI and data-driven methods to innovate faster and smarter.

Many companies hesitate to adopt it; thinking DoE is too complex, time-consuming, or expensive. But is it really?

One of challenges along the food supply chain is to reduce the food losses.

One of the materials that is heavily used in automotive is polypropylene. An undesirable property of polypropylene is that glues and coatings do not adhere well to its surface unless it undergoes a surface treatment.

After completing the experimental runs of a screening design, the responses under study are analyzed by statistical methods to detect the active effects.

Imagine the Titanic, what if they would have been able to see the whole Iceberg ? That is what DoE does! It gives you the whole picture!

As opposed to Design of Experiments, there is, unfortunately, a popular way of experimenting which is called One-Factor-At-a- Time (OFAT). OFAT involves changing only one of the experimental factors per test, leaving the other factors unchanged.

How do we recognize a good cupcake? It should taste good! OK, but how do we measure how good a cupcake is? Easy, we know our business.

Big data is everywhere in today’s world, characterized by the famous three Vs: volume, velocity and variety. While volume and velocity speak for themselves, let's focus on variety. Big data comes in many forms, such as sensor data, images, text, etc. Despite its immense potential for knowledge discovery, the inherent heterogeneity often causes analysis to fail.

In this interview, Dr. Bradley Jones, an expert in Design of Experiments (DoE), shares his insights into the essence of DoE, its pivotal role in driving innovation across various industries, and the potential it holds in overcoming future challenges. Read on to learn more about the transformative power of DoE and gain valuable insights from Dr. Jones' expertise.

Optimize product development by finding the ideal formulation and process conditions, ensuring that their products adhered to the required characteristics and regulatory demands stipulated by the FDA and EMA

GSK and Effex's Tailored Experimental Design Solution

Design of Experiments (DoE) is a powerful methodology for unlocking insights, optimizing processes, and driving innovation across various industries. In a recent interview with Dr. Bradley Jones, we gained valuable insights into the diverse applications an potential of DoE

Design of Experiments (DoE) is a valuable tool in data-driven decision-making. However, some myths still stand in the way of companies embracing its full potential. In this article, Dr. Bradley Jones sets the record straight, highlighting its benefits and sharing strategies for building a culture of experimentation.

Continued Innovation: Pushing the Boundaries of DoE

At Effex, it is our conviction that, when generating experimental designs for its user, we have to take advantage of 21st century technology.

When we are talking about Design of Experiments we all understand the involvement of the statisticians and the scientists or engineers

Of course not the potato chips themselves 😉 but in the production proces of potato chips, DoE is used.

Response Surface Designs (RSDs) are a core component of the response surface method- ology, which is widely used in the context of product and process optimization.

The family of orthogonally minimally aliased response surface or OMARS designs comprises traditional response surface designs, such as central composite designs and Box-Behnken designs, as well as definitive screening de- signs.

After completing the experimental runs of a screening design, the responses under study are analyzed by statistical methods to detect the active effects.

Consumers' trend of reducing the number of calories ingested per day, prompts a known food industry to decide to lower the fat content in our of their main products. In order to achieve this, the recipe of the product needs to be modified. An additional difficulty in the process is the fact that the different ingredients of the product come in batches, and each batch is slightly different from each other in terms of viscosity, particle size and other characteristics. The product quality should be robust against variability in the batches of raw material.

What if, due to new regulations, a product from your chemical company is 𝗻𝗼𝘁 𝗰𝗼𝗺𝗽𝗹𝗶𝗮𝗻𝘁 to more strict specifications imposed by the regulatory agencies?

Omars designs bridge the gap between definitive screening designs and classical response surface designs (such as central composite and Box-Behnken designs)

Orthogonal Minimaly Aliased Response Surface Design for three-level quantitative factors and two-level categorical factors