A leading aircraft manufacturer faces $27B in losses due to slow supply chain fixes, aggravated by escalating quality standards like AS9102 Rev C. The solution lies in seamless communication of requirements from buyers to suppliers, streamlining operations for all parties involved.

Theia's lenses help capture clear images of car crash testing. The MY23F lens is rugged and can survive impact at 50mph, while providing undistorted images.

AI-based edge-learning streamlines complex battery and EV inspection tasks and separates scrap from suitable.

For lithium-ion traction batteries, leak detection is imperative for battery performance, longevity and safety, especially the prevention of fires.

The transition from ICE to electric powertrain requires a complete review of the approach to quality and process controls. Some existing checks for ICE find even more extensive applications for the EV sector.

A Q&A with Reed Switch Developments Corp. president Debra Dahlin, and Engineering and QA Manager, Jeff Rosenbaum, to talk more about its holistic approach to quality.

For quality assurance purposes and to optimize the manufacturing workflow, machine vision is employed throughout the entire process to identify production errors, damage, or impurities early on.

We will explore the use of CMMs, advancements in technology, and their growing contribution to support leading developments in automation, artificial intelligence, and machine learning.

Model-Based Definition (MBD) offers a modernized approach to implementing GD&T into electric motor production using 3D models instead of traditional 2D drawings.

While data mining can unearth a wealth of information, it takes discriminating analysis to make sure we are not just making connections, but the right connections.