Management

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John Martin, AM Research Director, America Makes, and Christine Bernat, Associate Director, Standards Facilitation, American National Standards Institute, describe how the latest standardization roadmap is affecting the industry, trends with additive standards, and how the wrong type of inspection can prevent you from reaping the benefits of additives.

The recent Boeing door plug failures highlight the urgent need for better quality control. Utilizing AI, particularly Large Vision Models (LVMs), offers a promising solution for enhancing quality assurance by providing unparalleled precision, efficiency, and scalability.

Utilizing Dr. Deming's System of Profound Knowledge alongside Taguchi methods improves overall success by enhancing quality and reducing cycle times.

Darryl Seland, editorial director of Quality, and Michelle Bangert, managing editor of Quality, discuss the results and provide analysis for the annual State of the Profession Survey.

In many healthcare organizations, the hot topic is how to become a High-Reliability Organization (HRO). Everyone wants an HRO, but achieving that status is not easy. Let’s review the characteristics of an HRO as defined by Chassin and Loeb in their groundbreaking paper.

Quality 4.0 looks at how digitization improves industry processes. Despite over 10 years of focus, there's still no clear definition or knowledge base for Quality 4.0.

For over 30 years, companies have relied on Lean thinking principles to drive successful business models and become more competitive globally. Lean Thinking, based on Japanese manufacturing techniques, aims to handle work more efficiently and create value with fewer resources and less waste.

Value stream mapping is a powerful tool that reveals every step of your activity cycle, helping you identify what drives success and what doesn't. By spotlighting high-impact initiatives and streamlining less valuable ones, you'll optimize efficiency and maximize results. Discover what truly works and transform your business today!

Quality assurance (QA) meets artificial intelligence (AI). How can they coexist safely? Integrating AI into QA brings opportunities and risks, especially in safety-critical environments. Balancing rigorous standards and human oversight is crucial.