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The Quality Industry Voices AutomationManagementFrom the Editor

From the Editor | Darryl Seland

An Evolution and Redefinition of Quality in Manufacturing?

Cycles and how we analyze them.

By Darryl Seland
A worker in a sleek, high-tech factory setting, uses a tablet for inspection.
Image Source: Generative AI image created via Adobe Firefly
July 30, 2025

Cycles. They are natural. I can prove this by mentioning the natural cycle—the processes by which the Earth regulates its systems, including its carbon, water, and nitrogen. To personify, its breath, drink, and food. And if you are familiar with the Rule of Three—that humans cannot live for more than three minutes without air, three days without water, and three weeks without food—you can see the importance of the natural cycle. (My apologies if you believed I was going to describe the rules of celebrity deaths.)

It's also not difficult to see the importance of studying and understanding these cycles. For instance, the rotation of the Earth on its axis and its cycle around the Sun allow us to tell time and create calendars.

"The person who can define AI literacy in the quality profession is going to be the next Deming."

And there are many important cycles worth understanding, not just the so-called natural ones. Ones that are important to success in our personal lives, in business, and in manufacturing. They often have to do with development and change. They often focus on ideas like progress and/or growth, evolution, and redefinition.

Let’s take sports, for instance. As I believe I have described in the past, athletes get faster, stronger, better at the game over time. Soon, young fans will emulate their favorite players, learning those faster, stronger, and better ways until it becomes the foundation of the game. And the cycle repeats. The game evolves. And this is usually followed by a redefinition, or the sport, its governing body, and its fans asking, "Is this where we want the game to go?"

Such a cycle and redefinition are on the cusp, not only for society in general, but also particularly in manufacturing and quality—artificial intelligence.

"The person who can define AI literacy in the quality profession is going to be the next Deming," writes Greg Hutchins and Margaux Hutchins. "AI is disrupting all professional work and creating opportunities for the quality profession. New opportunities are being created around AI trust, risk assurance, and risk based decision making. Quality professionals are perfectly placed to monetize these opportunities."

Check out Greg and Margaux’s article and everything else we have to offer in this month’s Quality.

Enjoy and thanks for reading!

KEYWORDS: Artificial Intelligence (AI) manufacturing metrology quality risk management

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Darryl Seland is the editorial director of Quality magazine, where he aims to usher the quality community with vibrant discussions, thought-provoking columns on quality management, manufacturing, and industry trends, as well as leading the brand’s editorial strategy. With a background in journalism, an MBA in finance and management, and years of experience in the quality industry, Darryl blends technical insights with engaging narratives to help professionals navigate the evolving world of quality assurance and the manufacturing process.

Connect with Darryl on LinkedIn or reach him at [email protected] for insights on quality management, leadership, and industry trends.

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