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Perry Parendo — inactive contributor

Author of the Experimental Design for NPD article series.

This author's archive lists contributions of articles and episodes.

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Achieving Innovation

Achieving Innovation

We want to be more innovative – but how?

Many companies talk about their desire for Innovation. Can Design of Experiments (DOE) help in that process? Each section below contains a 2-minute video to expand on the topic provided.

Too often, we manage on hope

How often do we hear a design or process development team express optimism – “We are almost there!” And how long does that same response continue without progress? The key is to decide when we have tried long enough using informal methods. Predictability and confidence are important to achieve project success.

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Training Effectiveness

Training Effectiveness

We need training that is useful.

All companies train their people. How can you get what you need? What is the most effective approach? Each section below contains a 2-minute video to expand on the topic provided.

We need the training impact to last longer than the class

A company sees a need for training. They set up a class agenda and bring in an instructor. The ratings were good, but no one is using the new information so no value was created. How can they achieve training success and make it stick? This video shows our approach to make it more beneficial and create company value.

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Design of Experiments Process — A Decision Making Focus

Design of Experiments (DOE) is often only taught as a series of tools. Instead, we have used it as a tool in the Decision-Making Process which enhances implementation.

Each section below contains a 2-minute video to expand on the topic provided.

Where do we get started?

The setup and project definition are important for future success. Often, people want to jump to a solution. Then, they can start implementation and testing. Briefly pulling back to define the goal and appropriate outputs will help tremendously.

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Prototypes and Learning

Prototypes and Learning

Prototypes Help You Learn About Your Product

To reduce schedules, prototype cycles are often randomly slashed. Eventually the time and resources are needed and create cost and schedule over runs. We need to recognize that prototypes exist to help us learn about our product. If we use a risk based test strategy approach, we can test at lower levels to gain the required understanding. Then, we can confirm our learning with the higher level, system prototypes.

Just 4 minutes and 19 second long. To me, a prototype does include bench testing at lower levels as long as it includes the relevant functionality to represent the area for learning. [Read more…]

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Model Building

Model Building

Statistical Model Building

Model Building is a key theme for several advanced techniques. It boils down to creating an equation. Done well, one can predict and forecast how things will behave. Creating understanding reduces product risk and increases the chances for success.

Just 3 minutes and 9 second long, lets get the basics of model building to improve your understanding of how a system works. [Read more…]

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ANOVA Calculation Example

ANOVA Calculation Example

An Explanation and an ANOVA Calculation Example

Our white paper regarding t-test calculations has been very popular. Those that use the t-test tool regularly have commented “I finally understand what it is all about.”

The natural question they ask me next is “have you done anything with the F-test?” It is another common tool and one that is equally misunderstood.

Due to popular request, here is our attempt at explaining the F-test tool, in the two possible methods of use. [Read more…]

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The Basis of Design of Experiments is Comparison

The Basis of Design of Experiments is Comparison

A t-test Example

The basis of DOE analysis is comparing two samples. This methodology can be used just as well for changing one variable or more than one variable as in DOEs. Comparison of means is as simple as the t-test.

Some people initially feel intimidated considering the connection of DOE with statistics. Once they understand it in simple terms, the topic comes together for them.

So let’s see if we can accomplish that for you now.  [Read more…]

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Design Of Experiments In Industrial Testing and How It Relates To Your Business

Design Of Experiments In Industrial Testing and How It Relates To Your Business

Movement in Design of Experiments Testing

Historically, it has been relatively easy to meet customer system requirements using basic testing techniques. Today, however, customers require faster changes in technology and requirements are getting more difficult to meet. Competitive cost pressures have made the achievement of goals an even tougher task. In some cases, customers have requested and in a few cases mandated tools for companies to “be more efficient and organized in testing”. These facts create the need for organized and effective testing methods to be incorporated in all phases of the development process. [Read more…]