The Advanced Photon Source (APS) at Argonne National Laboratory is being upgraded with an $815 million investment to become the brightest synchrotron X-ray facility. This improvement increases X-ray beam brightness by up to 500 times, ensuring a safe and efficient return to world-class research.
Heather Wade previews her workshop “The 3 Rs of Calibration; Reading, Writing, and Reviewing Accreditation Scopes, Service Requests and Calibration Certificates.” With over 100 presentations worldwide, she provides practical insights on metrology.
A component supplier sought to improve quality and reduce costs by studying principles from quality experts. Leaders embraced continuous improvement and formed a kaizen team to analyze their primary product.
Stress is increasingly prevalent in our fast-paced world, where it can enhance productivity in moderation but hinder performance when excessive. Following a promotion in 2024, the author experienced significant stress that impacted their health.
Quality 4.0 transforms manufacturing by integrating digital technologies with quality management, enhancing visibility and traceability throughout the production process. By leveraging data from interconnected machines, it helps manufacturers proactively manage risks and reduce waste, leading to a safer and more efficient future.
As the world moves toward LED adoption, brands, manufacturers, and suppliers need to carefully evaluate how this shift will impact their products, particularly regarding color.
The transition to LED lighting impacts color perception and quality control, requiring manufacturers to adapt their processes to ensure consistency and address issues like flare and metamerism under different lighting conditions.
Probes and styli are vital for smart manufacturing, evolving into advanced sensors that enhance automation and quality control. These precise tools measure parts, guide machines, and enable real-time adjustments, improving efficiency and reducing defects in CNC and robotic applications.
Effective AI deployment requires addressing challenges related to continuous learning, adaptation, and the robust management of vast, real-time data streams—areas where DMAIC falls short.
This article explores the evolution of manufacturing data, the limitations of DMAIC in the Fourth Industrial Revolution, and introduces Binary Classification of Quality (BCoQ) and Learning Quality Control (LQC) systems as part of Quality 4.0.