Explore the freshest and most trending topics currently making waves in the quality industry. Dive into the latest buzz, timely insights, and noteworthy content that's driving our industry forward.
A recent Idera report reveals that many industries view artificial intelligence positively. Judy Bossi, Vice President of Product Management at Idera, discusses AI's potential in quality assurance (QA), the challenges to adoption, and steps to effectively implement the technology.
Autonomous systems, collaborative robots, AI-driven robotics applications and sustainable robotics are shaping a new era of automation and human-robot interaction.
Robotics is rapidly advancing from science fiction to practical uses across industries like manufacturing, logistics, and healthcare. Key trends include autonomous systems operating independently, robots collaborating with humans for improved productivity and safety, and AI integration that allows robots to learn and adapt. This technology enables both large enterprises and SMEs to optimize processes and meet growing demands.
Leak testing of EV battery cells and modules is vital for safety and defect prevention in North America's growing mobility industry. Early detection of leaks, especially during module assembly, saves time and money while ensuring quality control.
Ultimately, standardized software and modular platforms don’t just improve inspection—they help manufacturers thrive in the face of industry-wide challenges.
The manufacturing sector faces challenges like labor shortages and supply chain issues. Adopting standardized modular inspection systems can boost efficiency, improve communication, and reduce costs. These tools also facilitate advanced technologies, helping manufacturers thrive in a competitive landscape.
Generative AI Searches are transforming how professionals access technical data in fields like inspection and gages. While these tools deliver quick results, reliance on their outputs can lead to inaccuracies, as shown by discrepancies in thread specifications. Understanding the strengths and limitations of Generative AI is essential for ensuring the accuracy and relevance of information used in gage calibration and metrology.
By leveraging billions of historical data points and real-time insights, manufacturers can empower new operators to meet stringent quality standards while maintaining throughput goals.
The manufacturing sector struggles with declining workforce experience as seasoned veterans retire and new operators lack the necessary skills. To address this, integrating predictive quality technologies and AI-driven recommendations can empower less experienced workers to achieve the quality and performance levels needed.
If there are common causes of variability and the product is not meeting customer needs, process improvements are needed to improve the product quality.
Traditional control charting techniques, despite their long history, can lead to wasteful outcomes due to certain mathematical properties. This article examines these issues using a Minitab dataset and introduces a free 30,000-foot-level metric-reporting app as an alternative, supported by Minitab analyses.
Organizations are increasingly adopting Software as a Service (SaaS) for quality management, moving away from traditional on-premises systems due to its scalability and cost-effectiveness. By 2025, SaaS is projected to power 85% of all business applications, up from 70% in 2023.
Integration of digital twin technology in medical device manufacturing provides the potential to improve device performance, optimize production processes and reduce quality defects.
This article will explore digital twin technology, its effects on medical device manufacturing, and the associated benefits and challenges. The global market for digital twins was valued at over $8.6 billion in 2022 and is projected to reach $138 billion by 2030.
W. Edwards Deming, who highlights the negative impact of outdated management practices, is an optimist—an important perspective in today's divided America. His insights provide hope, as showcased at the 2024 Deming Leadership Seminar in Columbus, Ohio, organized by The W. Edwards Deming Institute.