Articles Tagged with ''metrology''

Skepticism surrounds AI among quality professionals, but innovative organizations are already using it to improve operations through conversational interfaces. This highlights AI's potential to streamline processes and enhance decision-making by adapting existing solutions.

Manufacturers face rising costs and supply chain disruptions, increasing the need for efficiency. Recent declines in Texas manufacturing highlight these challenges, but they also present opportunities for improvement. Many are adopting digital solutions to optimize operations and reduce waste.

The relationship between lean manufacturing and quality management has evolved to focus on balancing efficiency with product quality. Initially, lean practices sometimes compromised quality, but now there's a more integrated approach that reduces waste while meeting customer expectations for excellence.

Back on May 13, Bloomberg reported ABB Ltd. “is exploring a potential sale of the robotics unit.”

At this year’s AUTOMATE, Siemens announced the launch of its enhanced motion control portfolio.

The MVTec on Campus program, which offers universities and students free access to MVTec software products for academic purposes, will celebrate its fifth anniversary in 2025.

Before 2018, Trace Die Cast struggled with complex quality reports that were time-consuming to compile. That year, they adopted ZEISS PiWeb, enhancing data management and improving communication for quicker decision-making on the shop floor.

Ascential Technologies has promoted Alessandro Rosi to director of Ascential Care, the company’s globally responsive and agile customer service platform.

As demand for electric vehicles rises, the automotive industry must prioritize battery component quality. This article explores the critical role of how materials used in automotive battery manufacturing undergo rigorous mechanical testing to verify their quality and to maintain industry standards.

Atty Chakraborty, our 2025 Quality Rookie of the Year, discusses her work in the emerging field of AI in the medical industry, including examples, predictions for the future, and how it may apply in your work.