Articles Tagged with ''standards''

The role of quality auditors has evolved into that of strategic leaders and data experts, driven by technology and industry demands. This article highlights the key traits and importance of modern quality professionals.

TRIZ reduces the risk of unpredictable outcomes common in brainstorming by identifying that 90-95% of engineers' root problems have already been solved, often in different industries using different technologies.

Certification as a supplier boosts reputation and efficiency in the aerospace market by ensuring quality and compliance. This leads to better communication, change management, and higher customer satisfaction.

Explore how ISO 9001 serves as the global standard for quality management systems, shaping practices across various industries. Discover the tailored 9100 standard that addresses the unique needs of the aerospace, aviation, and defense sectors.

With the 2026 version of the ISO 9001 on the horizon, organizations must ask: will more training be needed? This article explores the key processes to ensure effective management of the upcoming changes, helping teams stay prepared for the challenges ahead.

Eric Hayler, Principal of the Hayler Group and a Lean Six Sigma Master Black Belt talks to Quality about how to understand the power of lean.

Susan Gorveatte shares her secrets from 25 years of auditing, including an important what NOT to do. (Be prepared to laugh!)

Evaluating your organization’s vulnerability to cyberattacks is essential, especially regarding ISO27001 requirements. Many overlook IT security, which can lead to serious issues; I’ve witnessed two organizations attacked, one during a renewal audit, emphasizing the need for strong cybersecurity.

Quality Infrastructure (QI) is vital for ensuring quality and safety through metrology, standardization, and accreditation. However, concerns arise about whether the QI has kept pace with these changes.

In a recent article for Quality called, How Generative AI Could Revolutionize Manufacturing Quality Functions, Graney said, “AI - ranging from generative, predictive, and “simple” machine learning - is poised to address the manufacturing challenges by automating data analysis, integrating multiple data sources, and providing real-time insights.